WO2018055987A1 - Medical examination reservation management device, method and program for operating same, and medical examination reservation management system - Google Patents

Medical examination reservation management device, method and program for operating same, and medical examination reservation management system Download PDF

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Publication number
WO2018055987A1
WO2018055987A1 PCT/JP2017/030802 JP2017030802W WO2018055987A1 WO 2018055987 A1 WO2018055987 A1 WO 2018055987A1 JP 2017030802 W JP2017030802 W JP 2017030802W WO 2018055987 A1 WO2018055987 A1 WO 2018055987A1
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WIPO (PCT)
Prior art keywords
condition
reservation
risk
medical
subject
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PCT/JP2017/030802
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French (fr)
Japanese (ja)
Inventor
鈴木 健司
勇哉 久藤
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富士フイルム株式会社
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Priority to JP2018540931A priority Critical patent/JP6706332B2/en
Publication of WO2018055987A1 publication Critical patent/WO2018055987A1/en

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    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/20ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/30ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment

Definitions

  • the present invention relates to a medical appointment management device, its operating method and operating program, and a medical appointment management system.
  • the order of medical treatment is managed by a computer.
  • the order of medical treatment is usually determined in the order of visiting a medical facility and accepting it, or in the order of making medical appointments.
  • a technique for preferential treatment of a subject with severe symptoms is described.
  • Patent Document 1 a subject measures biological information using a biological sensor at a remote place outside a medical facility such as a home. Then, the severity of the symptom is determined based on the measurement data of the biological information.
  • the degree of deviation indicating how much the latest measurement data obtained on the day of medical care deviates from the measurement data in a healthy state is calculated.
  • the priority of the medical treatment order is calculated from the addition formula using the calculated deviation degree and reception time as variables, and a subject with a higher priority value is determined to be a subject with a higher symptom to be treated preferentially. ing. It is described that the degree of deviation is set to 0 when the latest measurement data is not obtained because the subject is not wearing a biosensor, for example, when the latest biometric information is not measured. Yes.
  • Patent Document 1 when the latest biological information is not measured, the deviation degree is set to 0, but the priority in this case is a relatively low value. For this reason, the subject who has not measured the latest biological information tends to be postponed in order of medical treatment.
  • the latest biological information is not essential at the time of medical treatment, for example, there is even the biological information of the previous day.
  • Some people have no problem with their treatment.
  • the medical information of the previous day is being measured and there is no hindrance to the medical treatment, but the latest medical information is not measured and the order of medical treatment is postponed. End up. For this reason, precious medical appointments are wasted. Also, for medical facilities, the reserved medical treatment reservation frame is wasted.
  • the present invention relates to a medical appointment management apparatus capable of preventing both a subject who measures biometric information using a biometric sensor and a medical facility receiving a medical appointment of the subject from suffering a disadvantage in the medical appointment. It is an object of the present invention to provide an operating method, an operating program, and a medical appointment management system.
  • a medical appointment management apparatus includes a temporary reservation accepting unit that accepts a temporary appointment of a medical appointment of a subject who measures biometric information using a biometric sensor, and biometric information measurement data.
  • a measurement data reception unit that accepts, a recommended condition determination unit that determines whether or not a recommended condition, which is a measurement condition of biological information recommended for measurement, is satisfied based on the measurement data, and a medical treatment based on the measurement data
  • the minimum condition determination unit that determines whether or not the minimum condition, which is the minimum necessary measurement condition of biological information, is satisfied, and whether the subject is a high-risk subject who has a high risk of symptom seriousness.
  • a target person judgment unit that determines whether the subject is a low-risk subject with a lower risk than the risk target person and a reservation processing part that performs processing related to medical appointments, and the recommended condition judgment part determines that the recommended condition has been satisfied.
  • the reservation processing unit performs processing for finalizing a provisional reservation, and the processing result of the reservation processing unit The output control part which outputs.
  • the reservation processing unit preferably performs a process of discarding the provisional reservation when the target determination unit determines that the subject is a low risk target and the minimum condition determination unit determines that the minimum condition is not satisfied.
  • the reservation processing unit preferably performs processing to output a warning to the output control unit when the target determination unit determines that the subject is a high risk target and the recommended condition determination unit determines that the recommended condition is not satisfied. .
  • the output control unit outputs, as a warning, a first warning that prompts a high-risk subject to go to the first address registered in advance.
  • the output control unit preferably outputs, as a warning, a second warning that the high-risk subject does not satisfy the recommended condition to a second address registered in advance.
  • the reservation processing unit determines that the subject determination unit is a low-risk target person and the recommended condition determination unit determines that the recommended condition is not satisfied, the reservation processing unit performs a process for re-provisioning the provisional reservation, and the output control unit As a warning, it is preferable to output a third warning to the effect that the temporary reservation has been made again to a third address registered in advance.
  • the subject is a pregnant woman, and the biological information preferably includes at least fetal heartbeat and uterine contraction pressure as measurement items.
  • the recommended conditions include whether or not fetal heart rate and uterine contraction pressure measurement data are available on the day of provisional appointment, and the minimum conditions are the day of provisional appointment and the day of provisional appointment Preferably, it includes whether or not measurement data of fetal heart rate and uterine contraction pressure in the previous predetermined period have been obtained.
  • the recommended conditions include whether or not fetal heart rate and uterine contraction pressure data are obtained in addition to the measurement data of other measurement items, and the minimum condition is that at least fetal heart rate and uterine contraction pressure measurement data are obtained. It is preferable to include whether or not.
  • the output control unit outputs a fourth warning to the effect that the measurement of the biometric information of the recommended condition should be completed to a pre-registered fourth address by a designated time point that is a time point designated according to the provisional reservation. Is preferred. In this case, it is preferable that the fourth warning is displayed by a biometric sensor.
  • the operation method of the medical appointment management apparatus of the present invention includes a temporary reservation accepting step for accepting a temporary appointment of a medical appointment of a subject who measures biometric information using a biometric sensor, and a measurement data accepting step for accepting measurement data of biometric information. And a recommended condition determination step for determining whether or not a recommended condition, which is a measurement condition of biological information recommended for measurement, is satisfied based on the measurement data, and a minimum necessary living body for medical care based on the measurement data A minimum condition determination step for determining whether or not the minimum condition, which is a measurement condition of information, is satisfied, and whether the subject is a high-risk subject who has a high risk of symptom seriousness or higher than the high-risk subject It is a subject determination step that determines whether the subject is a low-risk low-risk subject, and a reservation processing step that performs processing related to medical appointments.
  • a reservation processing step for performing a process of finalizing a provisional reservation when it is determined that the condition is satisfied, and when it is determined that the person is a low-risk target person at the target person determination step and the minimum condition is satisfied at the minimum condition determination step; And an output control step for outputting the processing result of the reservation processing step.
  • the operation program of the medical appointment management device of the present invention includes a temporary reservation accepting function for accepting a temporary appointment of a medical appointment of a subject who measures biometric information using a biometric sensor, and a measurement data accepting function for accepting measurement data of biological information Based on the measurement data, the recommended condition determination function for determining whether the recommended condition, which is the measurement condition of the biological information recommended for measurement, is satisfied, and the minimum necessary living body for medical care based on the measurement data
  • the minimum condition determination function that determines whether the minimum condition that is the information measurement condition has been satisfied, and whether the subject is a high-risk subject with a high risk of symptom seriousness or higher than the high-risk subject It is a subject judgment function that determines whether the subject is a low-risk low-risk subject and a reservation processing function that performs processing related to medical appointments.
  • the recommended condition judgment function judges that the recommended conditions have been met.
  • a reservation processing function that performs a process of finalizing a provisional reservation and a processing of the reservation processing function when the target person determination function determines that the person is a low-risk target person and the minimum condition determination function determines that the minimum condition is satisfied.
  • the computer executes an output control function for outputting the result.
  • a medical appointment management system includes a biometric sensor used for a subject who needs to monitor a health condition, and a medical appointment management device installed on a network and managing a medical appointment of the subject.
  • the medical reservation management device includes a temporary reservation receiving unit that receives a temporary reservation of a medical reservation, a measurement data receiving unit that receives measurement data of biological information of the subject, and a biological body recommended for measurement based on the measurement data
  • a recommended condition determination unit that determines whether or not a recommended condition that is a measurement condition of information is satisfied, and whether or not a minimum condition that is a minimum measurement condition of biological information necessary for medical care is satisfied based on measurement data
  • the minimum condition determination unit that determines whether the subject is a high-risk subject who has a high risk of symptom severity or a low-risk subject who has a lower risk than the high-risk subject.
  • the reservation processing unit includes a reservation processing unit that performs a process for determining a provisional reservation, and an output control unit that outputs a processing result of the reservation processing unit.
  • a provisional appointment is confirmed when a low-risk subject who has a low risk of becoming symptomatic and satisfies the minimum condition that is a minimum requirement for biometric information for medical treatment. Therefore, low-risk subjects do not defer the order of medical treatment just because the recommended condition, which is the measurement condition of biometric information recommended for measurement, is not satisfied, as long as the minimum condition is satisfied. You can receive medical care as you make a temporary reservation. Therefore, a medical appointment management apparatus capable of preventing both a subject who measures biometric information using a biometric sensor and a medical facility receiving a medical appointment of the subject from suffering a disadvantage in the medical appointment and its operation A method and operating program and a medical appointment management system can be provided.
  • 3rd Embodiment it is a figure which shows the case where a recommendation condition is not satisfy
  • a medical appointment management system 10 includes a CTG sensor (a sensor for measuring a fetal heartbeat and uterine contraction pressure (CTG) described as a CTG sensor) 11A, a sphygmomanometer 11B, and a weight scale 11C corresponding to a biological sensor. And a medical appointment management server 12 corresponding to the medical appointment management apparatus.
  • CTG sensor a sensor for measuring a fetal heartbeat and uterine contraction pressure (CTG) described as a CTG sensor
  • CTG sensor a sensor for measuring a fetal heartbeat and uterine contraction pressure (CTG) described as a CTG sensor
  • CTG sensor a sensor for measuring a fetal heartbeat and uterine contraction pressure (CTG) described as a CTG sensor
  • CTG sensor a sensor for measuring a fetal heartbeat and uterine contraction pressure (CTG) described as a CTG sensor
  • sphygmomanometer 11B a sphygmomanometer
  • the biosensor 11 is distributed from the medical facility 13 to the pregnant woman S in the 34th to 36th weeks of pregnancy.
  • the pregnant woman S corresponds to a subject who needs to monitor the health condition, and regularly visits the medical facility 13.
  • the pregnant woman S measures biological information by using the biological sensor 11 at home 14 corresponding to a remote place outside the medical facility 13.
  • the health condition here includes not only the health condition of the pregnant woman S but also the health condition of the fetus.
  • High-risk pregnant women S-HR those who are at a higher risk of developing symptoms
  • low-risk pregnant S-LR low-risk people
  • High-risk pregnant S-HR has fetal factors such as fetal growth failure, or maternal factors such as low birth (under 18 years old), old birth (over 35 years old), and diabetes. Those who have a relatively high risk of causing etc.
  • These high-risk pregnant S-HRs need to pay particular attention to their health status in order to avoid serious symptoms.
  • the CTG sensor 11A is attached to the abdominal wall of the pregnant woman S, and the sphygmomanometer 11B is attached to the upper arm of the pregnant woman S.
  • the weight scale 11 ⁇ / b> C is installed on the floor surface of the home 14.
  • the measurement items of the biological information in this case are the fetal heartbeat and uterine contraction pressure (CTG) measured by the CTG sensor 11A, the blood pressure measured by the sphygmomanometer 11B, and the body weight measured by the weight scale 11C.
  • CCG fetal heartbeat and uterine contraction pressure
  • the pregnant woman S measures these measurement items as one set.
  • anything related to biological information such as the body temperature, heart rate, respiratory rate, and amount of body movement of the pregnant woman S may be added as a measurement item of biological information.
  • the biosensor 11 has a short-range wireless transmission / reception function represented by Bluetooth (registered trademark) or the like.
  • the biometric sensor 11 wirelessly transmits measurement data of biometric information to the subject terminal 15 in real time using the short-range wireless transmission / reception function.
  • the target person terminal 15 is a smartphone, a tablet computer, or the like owned by the pregnant woman S.
  • the measurement data is not wirelessly transmitted in real time, but the measurement data is temporarily stocked by the biosensor 11, and the measurement data is wirelessly transmitted at a predetermined time or according to the operation of the pregnant woman S. But you can.
  • Measured data includes the subject ID (Identification Data).
  • the subject ID is a symbol or number (see FIG. 4 or the like) for identifying each pregnant woman S, and is stored in an internal memory (not shown) of the biosensor 11.
  • the serial number of the biosensor 11 that is uniquely determined may be used as the target person ID.
  • the medical appointment management server 12 manages the production number of the biometric sensor 11 and the information of the pregnant woman S in association with each other. Therefore, the pregnant woman S can be identified.
  • the biosensor 11 has a built-in battery (not shown).
  • the biosensor 11 is driven by electric power from this built-in battery. For this reason, the biosensor 11 can be used wirelessly.
  • the target person terminal 15 is connected to the medical appointment management server 12 through a network 16 such as a WAN (Wide Area Network) such as the Internet or a public communication network so as to be able to communicate with each other.
  • the subject terminal 15 transmits the measurement data from the biological sensor 11 to the medical appointment management server 12 via the network 16.
  • a communication protocol with a high security level such as a VPN (Virtual Private Network) or HTTPS (Hypertext Transfer Protocol Secure) is used for the network 16 in consideration of information security.
  • a staff terminal 17 is also connected to the network 16.
  • the staff terminal 17 is a smartphone or a tablet computer carried by a medical staff such as a doctor D in charge of the pregnant woman S or a nurse N in charge within the medical facility 13.
  • the medical appointment management server 12 is installed in the medical facility 13.
  • the medical appointment management server 12 manages the medical appointment of the pregnant woman S in the medical facility 13.
  • the medical appointment management server 12 divides the medical appointment into two stages, a temporary appointment and a main appointment. More specifically, the medical appointment management server 12 accepts a temporary appointment for setting a medical treatment date and a medical treatment time as the first stage, and after accepting the temporary reservation, confirms the medical appointment and the medical examination time temporarily reserved as the second stage. Make a reservation.
  • the medical appointment management server 12 accepts measurement data from the subject terminal 15 and makes a determination based on the measurement data.
  • the medical appointment management server 12 is configured by installing a control program such as an operating system and various application programs (hereinafter abbreviated as AP) based on a computer such as a server computer, a personal computer, and a workstation.
  • a control program such as an operating system and various application programs (hereinafter abbreviated as AP) based on a computer such as a server computer, a personal computer, and a workstation.
  • AP application programs
  • the computer constituting the medical appointment management server 12 is a storage device 20, a memory 21, a central control unit (a CPU (Central Processing Unit) of a single personal computer, or an aggregate of a plurality of CPUs that perform distributed processing. ) 22 and a communication unit 23. These are interconnected via a data bus 24.
  • a CPU Central Processing Unit
  • the storage device 20 is a hard disk drive built in a computer constituting the medical appointment management server 12 or connected through a cable or a network, or a disk array in which a plurality of hard disk drives are connected.
  • the storage device 20 stores a control program such as an operating system, various APs, and various data associated with these programs.
  • the memory 21 is a work memory for the central control unit 22 to execute processing.
  • the central control unit 22 centrally controls each unit of the computer by loading a program stored in the storage device 20 into the memory 21 and executing processing according to the program.
  • the communication unit 23 is a network interface that controls transmission of various information via the network 16.
  • the storage device 20 of the medical appointment management server 12 stores an operation program 30 as an AP.
  • the operation program 30 is an AP for causing a computer constituting the medical appointment management server 12 to function as a medical appointment management device.
  • the storage device 20 includes a measurement data table 31 (see FIG. 4), a reservation data table 32 (see FIG. 5), a condition data table 33 (see FIG. 6), and a risk data table 34 (FIG. 7).
  • the first address data table 35 (see FIG. 8) are stored. Each of these data tables 31 to 35 will be described later.
  • the central control unit 22 of the medical appointment management server 12 cooperates with the memory 21 and the like to provisional reservation reception unit 40, measurement data reception unit 41, determination unit 42, reservation processing unit 43. , Function as a data management unit 44 and an output control unit 45.
  • the temporary reservation receiving unit 40 has a temporary reservation receiving function for receiving temporary reservations.
  • the provisional reservation is for setting the medical treatment date and the medical treatment time for the medical treatment reservation of the pregnant woman S.
  • the provisional reservation is made, for example, by the medical staff via the staff terminal 17 after the completion of the medical treatment for the pregnant woman S.
  • the medical appointment management server 12 delivers a temporary appointment setting screen (not shown) for setting a temporary appointment to the staff terminal 17 after the completion of the medical care of the pregnant woman S.
  • a temporary appointment setting screen for example, input of the status of temporary reservation for each medical treatment day, such as no pre-order (reservation possible) and pre-reservation (non-reservation), subject ID, medical treatment date, and medical treatment time Boxes and setting buttons are provided.
  • the medical staff confirms whether or not the reservation can be made in the provisional reservation status, enters a medical treatment date and time that are convenient for the pregnant woman S, and a target person ID into the input box, and selects a setting button.
  • temporary reservation data including the subject ID, the medical treatment date, and the medical treatment time are transmitted from the staff terminal 17 to the medical treatment appointment management server 12.
  • the temporary reservation receiving unit 40 receives temporary reservation data and outputs the temporary reservation data to the data management unit 44. Note that the pregnant woman S may make a tentative reservation at the home 14 or the like using the subject terminal 15 instead of the medical staff.
  • the measurement data reception unit 41 has a measurement data reception function for receiving measurement data from the target person terminal 15.
  • the measurement data reception unit 41 outputs the received measurement data to the data management unit 44.
  • the determination unit 42 has a determination function for performing determination based on measurement data. More specifically, the determination unit 42 has a recommended condition determination function, a minimum condition determination function, and a subject determination function. That is, the determination unit 42 corresponds to a recommended condition determination unit, a minimum condition determination unit, and a subject determination unit.
  • the recommended condition is a condition for measuring biological information that is medically recommended for the pregnant woman S.
  • the minimum condition is a condition for measuring biological information that is minimum required for the medical treatment of the pregnant woman S.
  • the determination unit 42 determines whether the recommended condition is satisfied based on the measurement data.
  • the determination unit 42 determines whether the minimum condition is satisfied based on the measurement data.
  • the determination unit 42 determines whether measurement data measurement defined by each condition is completed and whether measurement of CTG measurement data is completed within the CTG measurement period defined by each condition. By determining, it is determined whether the recommended condition and the minimum condition are satisfied.
  • the determination unit 42 does not perform determination until a preset time limit of the reservation.
  • the determination unit 42 uses the recommended condition determination function and the minimum condition determination function to determine whether the recommended condition and the minimum condition are satisfied.
  • the determination unit 42 uses the subject determination function to determine whether the pregnant woman S is a high-risk pregnant woman S-HR or a low-risk pregnant woman S-LR. Then, the determination results of these determinations are output to the reservation processing unit 43 together with the target person ID.
  • the time limit is set after estimating the time when the pregnant woman S is expected to go to the hospital.
  • the time limit is one hour before the medical treatment time set in the provisional reservation.
  • the time when the pregnant woman S is predicted to go to the hospital may be derived.
  • the reservation processing unit 43 has a reservation processing function for performing processing related to the medical reservation of the pregnant woman S.
  • a process for finalizing the temporary appointment hereinafter referred to as an appointment confirmation process
  • a process for discarding the temporary appointment hereinafter referred to as an appointment cancellation process
  • a first warning for prompting the pregnant woman S to go to the hospital There is processing (hereinafter referred to as first warning processing) to be output to the unit 45 (see FIG. 9).
  • the reservation confirmation process is a process of outputting a reservation confirmation instruction to confirm the provisional reservation to the data management unit 44 and the output control unit 45.
  • the reservation canceling process is a process of outputting a reservation canceling instruction for canceling the temporary reservation to the data management unit 44 and the output control unit 45.
  • the first warning process is a process of outputting to the output control unit 45 a first warning instruction for instructing the output of the first warning.
  • the various instructions such as the reservation confirmation instruction, the reservation cancellation instruction, and the first warning instruction include the subject ID, the medical date and the medical time of the temporary reservation.
  • the data management unit 44 manages the registration of each data in each data table 31 to 35 and the reading of each data from each data table 31 to 35. Specifically, the data management unit 44 registers the measurement data from the measurement data receiving unit 41 in the measurement data table 31 and the temporary reservation data from the temporary reservation receiving unit 40 in the reservation data table 32, respectively.
  • the data management unit 44 reads the measurement data in the measurement data table 31 and the temporary reservation data in the reservation data table 32 from the storage device 20, reads the measurement data into the determination unit 42, the temporary reservation data into the reservation processing unit 43, and the measurement data The temporary reservation data is transferred to the output control unit 45.
  • the timing at which the measurement data is transferred to the determination unit 42 is the time when the time limit for this reservation is reached.
  • the data management unit 44 passes the condition data in the condition data table 33 and the risk data in the risk data table 34 to the determination unit 42, and the first address in the first address data table 35 to the output control unit 45.
  • the data management unit 44 prohibits rewriting the subject person ID of the corresponding provisional reservation data in the reservation data table 32 in response to the reservation confirmation instruction from the reservation processing unit 43. Further, the data management unit 44 deletes the target ID of the corresponding provisional reservation data from the reservation data table 32 in response to the reservation discard instruction from the reservation processing unit 43.
  • the output control unit 45 has an output control function for outputting the processing result of the reservation processing unit 43. More specifically, when receiving a reservation confirmation instruction from the reservation processing unit 43, the output control unit 45 distributes the reservation confirmation notification screen 50 (see FIG. 16) to the target person terminal 15. Further, when receiving a reservation cancellation instruction from the reservation processing unit 43, the output control unit 45 distributes a reservation cancellation notification screen 55 (see FIG. 17) to the target person terminal 15. Further, when receiving a first warning instruction from the reservation processing unit 43, the output control unit 45 distributes the first warning notification screen 60 (see FIG. 18) to the target person terminal 15.
  • the reservation confirmation notification screen 50 is a screen for notifying the pregnant woman S that the provisional reservation has been confirmed.
  • the reservation cancel notification screen 55 is a screen for notifying the pregnant woman S that the temporary reservation has been cancelled.
  • the first warning notification screen 60 is a screen for notifying the first warning that the pregnant woman S is urged to go to the hospital.
  • the output control unit 45 generates screen data for web distribution created by a markup language such as XML (Extensible Markup Language) such as the reservation confirmation notification screen 50, the reservation discard notification screen 55, and the first warning notification screen 60.
  • a markup language such as XML (Extensible Markup Language)
  • XML Extensible Markup Language
  • JSON JavaScript (registered trademark) Object Notation
  • the output control unit 45 transmits the URL (Uniform Resource Locator) of each screen 50, 55, 60 to the target terminal 15 prior to distribution of each screen 50, 55, 60.
  • URL Uniform Resource Locator
  • the output control unit 45 displays the above-described provisional reservation setting screen and a graph display screen (not shown) that displays a graph in which measurement data is arranged in time series.
  • a graph display screen (not shown) that displays a graph in which measurement data is arranged in time series.
  • the provisional reservation status on the provisional reservation setting screen is displayed based on the provisional reservation data transferred from the data management unit 44.
  • the graph display screen is generated based on the measurement data delivered from the data management unit 44.
  • the medical staff can remotely monitor the health status of the pregnant woman S in the medical facility 13 by browsing the graph display screen distributed to the staff terminal 17.
  • measurement data table 31 As shown in FIG. 4, in the measurement data table 31, measurement data for each measurement item of CTG, blood pressure, and weight is registered for each subject ID. Although not shown, the CTG measurement data is registered together with the reception start time when the measurement data reception unit 41 starts reception and the reception end time when the reception ends. Each measurement data of blood pressure and weight is registered together with the reception time received by the measurement data reception unit 41. In the measurement data table 31, all the measurement data for a single pregnant woman S during the measurement period determined by the doctor in charge D is registered.
  • the reservation data table 32 is divided for each medical day.
  • a subject ID and a confirmation flag are registered for each medical treatment time.
  • the time is a period divided at intervals of 15 minutes, such as 09: 0 to 09:15, 09:45 to 10:00, and the like.
  • the confirmation flag 1 is registered when the provisional reservation is confirmed and the data management unit 44 prohibits the rewriting of the target person ID, and 0 is registered when the provisional reservation is not confirmed.
  • FIG. 5 illustrates the reserved data table 32 of 2016/8/24.
  • “S001” at time 09: 0 to 09:15, “S002” at time 09:15 to 09:30, and “S044” at time 09:30 to 09:45 A reservation is made for the pregnant woman S of the person ID.
  • the provisional reservation of the pregnant woman S with the subject person IDs “S001” and “S002” has been confirmed, and 1 is registered in the confirmation flag column.
  • the provisional reservation of the pregnant woman S with the subject person ID “S044” since the provisional reservation of the pregnant woman S with the subject person ID “S044” has not been confirmed, 0 is registered in the confirmation flag column.
  • the medical treatment time in which the subject person ID is registered is a medical treatment time with a predecessor, and the medical treatment time in which the subject person ID is not registered is a medical treatment time with no predecessor.
  • condition data table 33 condition data of recommended conditions and minimum conditions are registered.
  • the condition data table 33 has columns for measurement items and CTG measurement periods.
  • CTG, blood pressure, and body weight which are all measurement items, are registered as measurement items recommended for the pregnant woman S.
  • the CTG is registered in the measurement item column of the minimum condition as the measurement item that is the minimum necessary for the medical treatment of the pregnant woman S.
  • the CTG measurement period column of the recommended conditions the CTG measurement period recommended for the pregnant woman S is registered from 06:00 on the tentative appointment date to 1 hour before the tentative appointment time. Has been.
  • the CTG measurement period column of the minimum condition the CTG measurement period necessary for the medical treatment of the pregnant woman S is registered from 06:00 on the day before the provisional appointment day to one hour before the provisional appointment. ing.
  • the start time of the recommended CTG measurement period is 06:00 on the day of provisional appointment, and the start time of the minimum condition CTG measurement period is 06:00 on the day before the provisional appointment. For this reason, a grace period of one day is given as a minimum condition for the CTG measurement period.
  • the end time of the CTG measurement period is one hour before the temporarily reserved medical treatment time, and this time is the same as the time limit of this reservation.
  • condition data table 33 CTG, blood pressure, and weight measurement data are obtained as recommended conditions, and CTG measurement is performed from 06:00 on the tentative appointment date to 1 hour before the tentative appointment treatment time. Satisfied by having the data available.
  • the minimum condition is satisfied as long as CTG measurement data from 06:00 on the day before the tentative appointment to 1 hour before the tentative appointment is obtained. In this way, the minimum condition partially overlaps with the recommended condition, and if the recommended condition is satisfied, the minimum condition is automatically satisfied.
  • CTG requires measurement data when the fetus is in an awake state. Therefore, the CTG measurement time is set in advance to a time (for example, 40 minutes to 50 minutes) corresponding to the fetal cycle in which sleep and awakening are repeated at a cycle of about 20 minutes to about 40 minutes. Therefore, CTG measurement data is continuously measured for a preset measurement time.
  • the determination unit 42 determines whether or not each condition is satisfied by determining whether or not the reception end time at which the reception of the measurement data of the CTG is ended by the measurement data reception unit 41 is within the CTG measurement period. judge.
  • “high” for high-risk pregnant women S-HR and “low” for low-risk pregnant women S-LR are registered for each subject ID. .
  • “High” indicating the high-risk pregnant woman S-HR and “low” indicating the low-risk pregnant woman S-LR are registered in advance by the medical staff.
  • the medical staff determines whether the pregnant woman S is a high-risk pregnant woman S-HR or a low-risk pregnant woman S-LR with reference to medical information of the pregnant woman S described in the electronic medical record, for example.
  • the medical appointment management server 12 acquires medical information of the pregnant woman S in the electronic medical record, and determines whether the pregnant woman S is a high-risk pregnant woman S-HR or a low-risk pregnant woman S-LR based on the acquired medical information. It may be determined automatically.
  • the first address data table 35 is a table in which a first address is registered for each target person ID.
  • the first address is an address at which the URL of each screen 50, 55, 60 can be transmitted to the target terminal 15 that is the delivery destination of each screen 50, 55, 60.
  • the first address is, for example, an e-mail address that the pregnant woman S can view on the subject person terminal 15 or an ID of the pregnant woman S of a message service provided by SNS (Social Networking Service).
  • SNS Social Networking Service
  • the first address is registered in advance by the medical staff.
  • the target person terminal 15 is a smartphone and has a mobile phone function, the telephone number may be registered as the first address.
  • the determination unit 42 receives the measurement data from the measurement data table 31 through the data management unit 44 when the time limit is reached. The determination unit 42 compares the measurement data with the condition data from the condition data table 33 to determine whether the recommended condition and the minimum condition are satisfied. Further, the determination unit 42 determines whether the pregnant woman S is a high-risk pregnant woman S-HR or a low-risk pregnant woman S-LR based on the risk data from the risk data table 34.
  • the reservation processing unit 43 determines whether the determination result from the determination unit 42, that is, the determination result of whether the recommended condition and the minimum condition are satisfied according to the reception status of the measurement data at the time limit, and the pregnant woman S is high. Based on the determination result of whether it is a risk pregnant S-HR or a low risk pregnant S-LR, a process to be performed is determined from the reservation confirmation process, the reservation discard process, and the first warning process.
  • the reservation processing unit 43 determines whether the pregnant woman S is a high-risk pregnant woman S-HR or a low-risk woman. Regardless of whether it is a pregnant woman S-LR, a reservation confirmation process is performed.
  • FIG. 10 shows the case of the first pregnant woman S-1 who is the pregnant woman S with the subject ID “S001”, and FIG. 11 shows the case of the second pregnant woman S-2 that is the pregnant woman S with the subject ID “S002”.
  • the determination unit 42 receives the measurement data of the first pregnant woman S-1.
  • the measurement data of the first pregnant woman S-1 includes measurement data of measurement items of CTG, blood pressure, and body weight, and from 06:00 on the tentative appointment date to one hour before the tentative appointment time Suppose that there is CTG measurement data measured during 08:00.
  • the determination unit 42 determines that the first pregnant woman S-1 satisfies the recommended condition as a result of comparing the measurement data of the first pregnant woman S-1 with the condition data of the recommended condition. Further, the determination unit 42 determines from the risk data that the first pregnant woman S-1 is a high-risk pregnant woman S-HR. The determination unit 42 outputs to the reservation processing unit 43 a determination result indicating that the first pregnant woman S-1 is a high-risk pregnant woman S-HR and satisfies the recommended conditions.
  • the reservation processing unit 43 issues a reservation confirmation instruction to confirm the provisional reservation data of the first pregnant woman S-1 as a reservation confirmation process, the data management unit 44 and the output control unit 45. Output to.
  • the first pregnant woman S-1 is a high-risk pregnant woman S-HR according to the risk data, but if the reservation processing unit 43 determines that the recommended condition is satisfied, the first pregnant woman S-1 relates to the risk data.
  • a reservation confirmation instruction is output.
  • the data management unit 44 registers the subject ID “S001” of the first pregnant woman S-1 in the column of the confirmation flag of the diagnosis time 09: 0 to 09:15 in the appointment data table 32 of 2016/8/24. 1 is registered. As a result, the provisional reservation for the first pregnant woman S-1 is confirmed.
  • the output control unit 45 reads “XXX01” that is the first address corresponding to the subject ID “S001” of the first pregnant woman S-1 from the first address data table 35. Then, the reservation confirmation notification screen 50 is distributed to the read first address (target terminal 15 of the first pregnant woman S-1).
  • FIG. 11 is the same as FIG. 10 except that the pregnant woman S is the second pregnant woman S-2.
  • the difference is that the second pregnant woman S-2 is not a high-risk pregnant woman S-HR but a low-risk pregnant woman S-LR.
  • the reservation processing unit 43 if the determination result is that the recommended condition is satisfied, the reservation processing unit 43 outputs a reservation confirmation instruction regardless of the risk data.
  • the reservation processing unit 43 determines that the pregnant woman S is the low-risk pregnant woman S-LR. Even if it is determined and it is determined that the minimum condition is satisfied (minimum condition OK), the reservation confirmation process is performed.
  • FIG. 12 shows the case of the second pregnant woman S-2 as in FIG.
  • the determination unit 42 receives the measurement data of the second pregnant woman S-2.
  • the measurement data of the second pregnant woman S-2 does not include the measurement data of each measurement item of blood pressure and weight, but it is from 06:00 on the day before the provisional appointment date to one hour before the provisional appointment time 08. : It is assumed that there is CTG measurement data measured during 15.
  • the determination unit 42 determines that the second pregnant woman S-2 satisfies the minimum condition as a result of comparing the measurement data of the second pregnant woman S-2 with the condition data of the minimum condition. In addition, since the measurement data of the second pregnant woman S-2 does not include the measurement data of each measurement item of blood pressure and weight as described above, the determination unit 42 does not satisfy the recommended condition for the second pregnant woman S-2. (Recommended condition NG). Furthermore, the determination unit 42 determines from the risk data that the second pregnant woman S-2 is a low-risk pregnant woman S-LR. The determination unit 42 outputs to the reservation processing unit 43 a determination result indicating that the second pregnant woman S-2 is a low-risk pregnant woman S-LR, does not satisfy the recommended condition, and satisfies the minimum condition.
  • the reservation processing unit 43 In response to the determination result from the determination unit 42, the reservation processing unit 43 outputs a reservation confirmation instruction to the data management unit 44 and the output control unit 45 to confirm the provisional reservation data of the second pregnant woman S-2.
  • the subsequent processing is the same as in the case of FIG.
  • the reservation processing unit 43 performs a reservation discarding process.
  • FIG. 13 shows the case of the second pregnant woman S-2 as in FIG. 11 and FIG.
  • the measurement data of the second pregnant woman S-2 includes CTG measurement data measured between 06:00 on the day before the tentatively reserved medical treatment date and 08:15 one hour before the temporarily reserved medical treatment time. Suppose there is no.
  • the determination unit 42 determines that the second pregnant woman S-2 does not satisfy the minimum condition (minimum condition NG) as a result of comparing the measurement data of the second pregnant woman S-2 with the condition data of the minimum condition.
  • the measurement data of the second pregnant woman S-2 includes CTG measured between 06:00 on the day before the tentative appointment date and 08:15 one hour before the tentative appointment time as described above. Since there is no measurement data, that is, there is no measurement data of CTG measured between 06:00 on the day of the tentatively reserved medical treatment day and 08:15 one hour before the tentatively reserved medical treatment time. It is determined that the second pregnant woman S-2 does not satisfy the recommended conditions.
  • the determination unit 42 determines from the risk data that the second pregnant woman S-2 is a low-risk pregnant woman S-LR.
  • the determination unit 42 outputs to the reservation processing unit 43 a determination result that the second pregnant woman S-2 is a low-risk pregnant woman S-LR and that both the recommended condition and the minimum condition are not satisfied.
  • the reservation processing unit 43 receives the determination result from the determination unit 42, and as a reservation discarding process, the data management unit 44 and the output control unit 45 give a reservation discarding instruction to discard the provisional reservation data of the second pregnant woman S-2. Output to.
  • the data management unit 44 selects the subject person from the column of the medical hours 09:15 to 09:30 in the appointment data table 32 of 2016/8/24 in which the subject ID “S002” of the second pregnant woman S-2 is registered.
  • the ID “S002” is deleted. As a result, the provisional reservation of the second pregnant woman S-2 is discarded.
  • the output control unit 45 reads “XXX02” that is the first address corresponding to the subject ID “S002” of the second pregnant woman S-2 from the first address data table 35. Then, the reservation cancellation notification screen 55 is output to the read first address (target terminal 15 of the second pregnant woman S-2).
  • the reservation processing unit 43 performs the first warning process.
  • FIG. 14 shows the case of the first pregnant woman S-1 as in FIG.
  • the measurement data of the first pregnant woman S-1 includes CTG measurement data measured between 06:00 on the day of the temporarily reserved medical treatment day and 08:00, which is one hour before the temporarily reserved medical treatment time. Suppose there is no.
  • the determination unit 42 determines that the first pregnant woman S-1 does not satisfy the recommended condition as a result of comparing the measurement data of the first pregnant woman S-1 with the condition data of the recommended condition. Further, the determination unit 42 determines from the risk data that the first pregnant woman S-1 is a high-risk pregnant woman S-HR. The determination unit 42 outputs a determination result indicating that the first pregnant woman S-1 is a high-risk pregnant woman S-HR and does not satisfy the recommended condition to the reservation processing unit 43.
  • the reservation processing unit 43 In response to the determination result from the determination unit 42, the reservation processing unit 43 outputs, to the output control unit 45, a first warning instruction to output a first warning to the first pregnant woman S-1 as a first warning process. .
  • the output control unit 45 reads “XXX01” that is the first address corresponding to the subject ID “S001” of the first pregnant woman S-1 from the first address data table 35. Then, the first warning notification screen 60 is output to the read first address (target terminal 15 of the first pregnant woman S-1).
  • the table 48 shown in FIG. 15 summarizes each process of the reservation processing unit 43 shown in FIGS. That is, as shown in columns C1 and C4, when the determination unit 42 determines that the recommended condition is satisfied, the reservation confirmation process is performed regardless of the low-risk pregnant woman S-LR and the high-risk pregnant woman S-HR. (See FIGS. 10 and 11). In addition, as shown in the column C2, when the determination unit 42 determines that the low-risk pregnant S-LR is determined and the minimum condition is satisfied, the reservation determination process is performed (see FIG. 12).
  • reservation cancellation processing is performed (see FIG. 13).
  • the determination unit 42 determines that the risk is a low-risk pregnant woman S-LR and it is determined that the minimum condition is not satisfied.
  • the first warning process is performed (FIG. 14). In this way, the reservation processing is performed depending on whether the pregnant woman S is a high-risk pregnant woman S-HR or a low-risk pregnant woman S-LR, whether the recommended condition is satisfied, and whether the minimum condition is satisfied.
  • the processing performed by the unit 43 is divided.
  • the reservation confirmation notification screen 50 delivered from the output control unit 45 to the subject terminal 15 includes a message that informs the pregnant woman S that the provisional reservation has been confirmed, and a frame that describes the confirmed medical treatment time. 51 and a confirmation button 52 are displayed.
  • FIG. 16 illustrates a reservation confirmation notification screen 50 in the case of the first pregnant woman S-1 shown in FIG.
  • the reservation cancellation notification screen 55 displays a message that informs the pregnant woman S that the temporary reservation has been canceled because the minimum condition is not satisfied, a message that prompts the user to cancel the temporary reservation, and a confirmation button 56. Is done.
  • FIG. 17 shows an example of the reservation cancellation notification screen 55 for the second pregnant woman S-2 shown in FIG.
  • the first warning notification screen 60 includes a message that informs the pregnant woman S that the recommended condition is not satisfied, a message that promptly visits the hospital and receives medical care, that is, a first warning and a confirmation button 61. Is displayed.
  • FIG. 18 illustrates the first warning notification screen 60 in the case of the first pregnant woman S-1 shown in FIG.
  • the screens 50, 55, and 60 disappear when the confirmation buttons 52, 56, and 61 are operated.
  • the target person terminal 15 When the URL of each screen 50, 55, 60 is received, the target person terminal 15 is set to sound a specific notification sound or turn on the vibration function. Further, the target person terminal 15 is set to stop the notification sound after a predetermined time or to turn off the vibration function after the predetermined time. Note that if you do not open the URL link or operate the confirmation buttons 52, 56, 61 to turn off the screens 50, 55, 60, the notification sound does not stop or the vibration function is turned off. It is good also as a setting which does not become.
  • the medical staff operates the staff terminal 17 to make a temporary reservation for setting the next medical treatment date and medical treatment time.
  • the temporary reservation data transmitted from the staff terminal 17 is received by the temporary reservation receiving unit 40 (step ST100 in FIG. 19, temporary reservation receiving step).
  • the temporary reservation data is output to the data management unit 44 and registered in the reservation data table 32 by the data management unit 44 (step ST110).
  • the pregnant woman S measures the biological information using the biological sensor 11 at home 14.
  • the measurement data of the biometric information output from the biometric sensor 11 is transmitted to the medical treatment appointment management server 12 via the target person terminal 15 and the network 16.
  • the measurement data reception unit 41 receives the measurement data of the biological information (step ST200 in FIG. 20, measurement data reception step).
  • the measurement data is output to the data management unit 44 and registered in the measurement data table 31 by the data management unit 44 (step ST210).
  • Measured data is transferred from the data management unit 44 to the determination unit 42 when the time limit of the reservation is reached. Based on the measurement data, the determination unit 42 determines whether the recommended condition is satisfied (step ST300 in FIG. 21, recommended condition determination step) and whether the minimum condition is satisfied (step ST320, minimum condition determination step). Determined. The determination unit 42 determines whether the pregnant woman S is a high-risk pregnant woman S-HR or a low-risk pregnant woman S-LR based on the risk data table 34 (step ST310, subject determination step). .
  • step ST300 When the determination unit 42 determines that the recommended condition is satisfied (YES in step ST300), the reservation processing unit 43 as shown in FIGS. 10 and 11 and columns C1 and C4 of Table 48 in FIG. In step ST330, a reservation processing step is performed. Specifically, a reservation confirmation instruction is output to the data management unit 44 and the output control unit 45.
  • step ST340 In response to the reservation confirmation instruction, 1 is registered in the confirmation flag column of the corresponding provisional reservation data in the reservation data table 32 by the data management unit 44, and rewriting of the target person ID is prohibited (step ST340). Further, the reservation confirmation notification screen 50 is delivered to the target person terminal 15 by the output control unit 45 (step ST350, output control step).
  • a reservation confirmation notification screen 50 is displayed.
  • the pregnant woman S recognizes that the provisional reservation has been confirmed through the reservation confirmation notification screen 50.
  • step ST300 when it is determined by the determination unit 42 that the recommended condition is not satisfied (NO in step ST300) and the pregnant woman S is determined to be a low-risk pregnant woman S-LR (YES in step ST310), the lowest value in step ST320 Processing according to the result of the condition determination step is performed.
  • the reservation processing unit 43 performs a reservation confirmation process (step ST330, reservation processing step). ).
  • the subsequent processing is the same as when the determination unit 42 determines that the recommended condition is satisfied (YES in step ST300), and thus description thereof is omitted.
  • the reservation processing unit 43 performs the reservation confirmation process, the low-risk pregnant woman S-LR does not meet the recommended conditions, but only meets the minimum conditions as long as the minimum conditions are met. Can receive.
  • the medical reservation frame secured by the temporary reservation is not wasted. Therefore, it is possible to prevent both the pregnant woman S and the medical facility 13 from being disadvantaged in the medical appointment.
  • Patent Document 1 when the latest biometric information has not been measured, the priority is set to a low value regardless of whether it is a high-risk pregnant woman S-HR or a low-risk pregnant woman S-LR. The order will be delayed.
  • two measurement conditions, a recommended condition and a minimum condition are prepared, and the determination unit 42 determines whether the recommended condition is satisfied and whether the minimum condition is satisfied in two stages. ing.
  • the determination unit 42 determines that the low-risk pregnant woman is S-LR (YES in step S310) and it is determined that the minimum condition is not satisfied (NO in step ST320)
  • the tables in FIG. 13 and FIG. As shown in the column C3 of 48, the reservation discarding process is performed in the reservation processing unit 43 (step ST360). Specifically, a reservation discard instruction is output to the data management unit 44 and the output control unit 45.
  • the data management unit 44 deletes the target person ID of the corresponding provisional reservation data in the reservation data table 32 (step ST370). Further, the reservation discard notification screen 55 is distributed to the target person terminal 15 by the output control unit 45 (step ST380).
  • a reservation cancellation notification screen 55 is displayed.
  • the pregnant woman S recognizes that the temporary reservation has been canceled through the reservation cancellation notification screen 55.
  • the low-risk pregnant S-LR who has not performed the measurement of the minimum condition has a problem in medical treatment. Therefore, if a temporary reservation is confirmed, it is necessary to measure biological information at the medical facility 13 before the medical treatment. In addition, since the start time of medical treatment is delayed by the amount of measurement of biometric information, it is necessary to adjust subsequent medical appointments. For this reason, if it is determined that the determination unit 42 is a low-risk pregnant S-LR and the minimum condition is not satisfied, the reservation processing unit 43 inevitably performs the reservation discarding process. By doing so, the frame of the medical appointment is wasted, but there is an advantage that it does not take the trouble of measuring the biological information at the medical facility 13 and adjusting the medical appointment as described above. This also prevents the unfair treatment that a low-risk pregnant woman S-LR that has not performed the minimum measurement is treated before the pregnant woman S that complies with the measurement that satisfies the recommended conditions. .
  • the determination unit 42 determines that the recommended condition is not satisfied (NO in step ST300), and the pregnant woman S is determined to be a high-risk pregnant woman S-HR (NO in step ST310), FIG. 14 and FIG. As shown in columns C5 and C6 of Table 48, the first warning process is performed by the reservation processing unit 43 (step ST390). Specifically, the first warning instruction is output to the output control unit 45.
  • the output control unit 45 distributes the first warning notification screen 60 to the target person terminal 15 (step ST400).
  • the first warning notification screen 60 is displayed.
  • the pregnant woman S recognizes that she must go to the hospital through the first warning notification screen 60.
  • the reservation processing unit 43 performs the first warning process. Can be expected to visit and receive medical care, and can effectively avoid the seriousness of high-risk pregnant S-HR symptoms.
  • the pregnant woman S measures the recommended conditions and confirms the provisional appointment, or at least measures the minimum conditions and confirms the provisional appointment (in the case of a low-risk pregnant woman S-LR), If you visit the medical facility 13 at the time, you can receive medical care smoothly without any extra waiting time. For this reason, the residence time of the pregnant woman S at the medical facility 13 can be shortened, and the risk of suffering from the infection of the pregnant woman S can be reduced. Therefore, it can be said that particularly excellent effects can be obtained when the target is a pregnant woman S who measures CTG, which requires a relatively long measurement time.
  • High-risk pregnant S-HR needs to pay more attention to health than low-risk pregnant S-LR.
  • the recommended condition is satisfied by the fact that the measurement data of other measurement items is obtained in addition to the CTG measurement data on the provisional appointment date, and the provisional appointment date, provisional appointment date, Minimum condition that is met by obtaining CTG measurement data for a predetermined period before the appointment date (here, from 06:00 on the day before the tentative appointment date to 1 hour before the tentative appointment date) The measurement conditions are more severe.
  • CTG and blood pressure may be used as the measurement items of the lowest condition
  • the CTG measurement period of the lowest condition may be set from one week before the provisional appointment to two hours before the provisional appointment.
  • the end time of the CTG measurement period may not be the same time as the time limit of the main reservation illustrated in FIG.
  • the recommended conditions include whether or not CTG measurement data on the tentative appointment date is available, and the minimum conditions are the tentative appointment date and the predetermined period before the tentative appointment date. It is only necessary to include whether or not CTG measurement data is obtained.
  • the recommended condition includes whether or not measurement data of other measurement items is obtained in addition to CTG, and the minimum condition may include at least whether or not measurement data of CTG is obtained.
  • the measurement items for each condition may be the same for only CTG, and the CTG measurement period may be different for each condition.
  • the recommended CTG measurement period is set from 06:00 on the day of provisional appointment to 1 hour before the provisional appointment, and the minimum condition CTG measurement period is set to 06:00 to provisional three days before the provisional appointment.
  • the measurement item is CTG only for each condition.
  • each screen 50, 55, 60 is not limited to the target terminal 15 of the pregnant woman S.
  • a terminal owned by a person concerned with the pregnant woman S such as a family living with the pregnant woman S may be used.
  • the determination unit 42 determines that the risk is high-risk pregnant S-HR and the recommended condition is not satisfied
  • the first warning is output.
  • the determination unit 42 determines that the high-risk pregnant woman S-HR does not satisfy the recommended condition when it is determined that the high-risk pregnant woman S-HR does not satisfy the recommended condition. 2 Outputs a warning.
  • a second address data table 63 is stored in the storage device 20 of the medical appointment management server 12 of the second embodiment.
  • the second address data table 63 is managed by the data management unit 44, like the data tables 31 to 35.
  • the second address data table 63 is a table in which a second address is registered for each subject ID of the high-risk pregnant S-HR.
  • the second address is the output destination of the second warning that the high-risk pregnant S-HR does not satisfy the recommended condition.
  • the second address is, for example, an e-mail address that can be viewed on the staff terminal 17 by medical staff such as the doctor D in charge of the high-risk pregnant woman S-HR and the nurse N in charge, or a message service provided by SNS (Social Networking Service) ID or telephone number of the medical staff.
  • SNS Social Networking Service
  • the second address is registered only in the column of the subject ID (“S001”, “S003”, etc.) of the high-risk pregnant woman S-HR.
  • the second address is not registered in the target person ID (“S002”, etc.) column of the low-risk pregnant S-LR.
  • the reservation processing unit 43 As a process, a second warning process is performed.
  • the second warning process is a process of outputting to the output control unit 45 a second warning instruction for instructing the output of the second warning.
  • FIG. 23 shows the case of the first pregnant woman S-1 as in FIG. 14 of the first embodiment.
  • the reservation processing unit 43 outputs a second warning instruction to the output control unit 45 to output a second warning to the medical staff in charge of the first pregnant woman S-1.
  • the output control unit 45 reads “YYY01”, which is the second address corresponding to the subject ID “S001” of the first pregnant woman S-1, from the second address data table 63. Then, a second warning is output to the read second address.
  • the output control unit 45 distributes the second warning notification screen 65 shown in FIG. 24 to the staff terminal 17 as one form of output of the second warning.
  • a message indicating that the high-risk pregnant S-HR in charge of the medical staff does not satisfy the recommended conditions, that is, the second warning and the measurement of the recommended conditions for the high-risk pregnant S-HR are performed.
  • a message prompting the medical staff to urge or prompt the high-risk pregnant S-HR to receive medical care and a telephone number for contacting the pregnant S are written.
  • the confirmation button 66 is a button for erasing the display of the second warning notification screen 65.
  • FIG. 24 illustrates the case of the first pregnant woman S-1 following FIG.
  • the output control unit 45 sets the URL of the second warning notification screen 65 prior to the distribution of the second warning notification screen 65.
  • the second warning notification screen 65 is distributed in response to the operation of transmitting to the staff terminal 17 and opening the URL link. The same applies to each screen in the following embodiments.
  • the determination unit 42 determines that the risk is high risk pregnant woman S-HR and the recommended condition is not satisfied, the second warning that the high risk pregnant woman S-HR does not satisfy the recommended condition is issued. Since the data is output to the second address, the medical staff is given an opportunity to take appropriate measures for the high-risk pregnant S-HR. Therefore, the seriousness of symptoms of high-risk pregnant S-HR can be effectively avoided.
  • the first warning in the first embodiment may be combined with the second warning in the second embodiment. Then, the first warning for the high-risk pregnant S-HR itself and the second warning for the medical staff in charge of the high-risk pregnant S-HR strongly encourage the high-risk pregnant S-HR to go to the hospital. Therefore, serious symptoms of high-risk pregnant S-HR can be more effectively avoided.
  • the second warning notification screen 65 may be distributed to a terminal owned by a related person of the pregnant woman S, similarly to the screens 50, 55, 60 of the first embodiment.
  • the pregnant woman S may be a family living with the pregnant woman S or a midwife in the neighborhood of the pregnant woman S who is affiliated with the medical facility 13.
  • the third address which is the output destination of the third warning is the same as the first address of the first address data table 35 shown in FIG. 8 of the first embodiment. Therefore, in the following description, the first address data table 35 is referred to as the third address data table 35, and the first address is referred to as the third address.
  • the reservation processing unit 43 when the determination unit 42 determines that the high-risk pregnant S-HR and the recommended condition is not satisfied, the reservation processing unit 43 A reservation cancellation instruction for canceling the temporary reservation of the high-risk pregnant S-HR before the determination is output to the data management unit 44 and the output control unit 45. At the same time, the reservation processing unit 43 performs temporary reservation processing as processing related to medical reservation.
  • the temporary reservation process is a process of outputting a temporary reservation instruction to the data management unit 44 and the output control unit 45 to re-provision a temporary reservation of the high-risk pregnant woman S-HR that has been canceled by the reservation cancellation instruction.
  • the reservation processing unit 43 extracts the earliest medical time from the medical data without any predecessors from the reservation data table 32. Then, the extracted medical treatment time is automatically set as a new temporary medical treatment time for the high-risk pregnant S-HR.
  • the provisional reservation instruction includes the automatically set medical time and the subject ID of the high-risk pregnant woman S-HR.
  • the data management unit 44 deletes the subject ID of the high-risk pregnant S-HR from the column of the medical treatment time in the reservation data table 32. Then, the subject ID of the high-risk pregnant woman S-HR is re-registered in the column of the medical treatment time designated by the provisional reservation instruction from the reservation processing unit 43.
  • the reservation processing unit 43 performs a third warning process as a process related to a medical appointment.
  • the third warning process is a process of outputting a third warning instruction to the output control unit 45 to instruct the output of the third warning to the effect that the temporary reservation has been made again.
  • the reservation processing unit 43 receives a reservation cancellation instruction for canceling a temporary reservation from 09:00:00 to 09:15 of the first pregnant woman S-1 of 2016/8/24 and
  • the data management unit 44 and the output control unit provide a temporary reservation instruction for re-booking the first pregnant woman S-1 from 09:45 to 10:00 on 2016/8/24, which is the earliest medical treatment time. Output to 45.
  • the data management unit 44 deletes the subject ID “S001” of the first pregnant woman S-1 registered in the column of 09:00 to 09:15 of the reserved data table 32 of 2016/8/24. Then, the subject ID “S001” of the first pregnant woman S-1 is registered in the field of 09:45 to 10:00.
  • the output control unit 45 reads “XXX01”, which is the third address corresponding to the subject ID “S001” of the first pregnant woman S-1, from the third address data table 35. Then, a third warning is output to the read third address (target terminal 15 of the first pregnant woman S-1).
  • the output control unit 45 outputs a third warning notification screen 70 shown in FIG. 28 to the target person terminal 15 as one form of output of the third warning.
  • a message indicating that the high-risk pregnant S-HR did not measure the recommended condition by the time limit, so that the original temporary reservation was discarded and the temporary reservation was made again, ie, the third A warning 71, a frame 71 indicating the time when the medical appointment was rebooked, a message prompting to come to the hospital at the time when the medical appointment was temporarily reserved, and a confirmation button 72 are displayed.
  • FIG. 28 illustrates the case of the first pregnant woman S-1 following FIG. 25 to FIG.
  • the determination unit 42 determines that the risk is a high-risk pregnant S-HR and the recommended condition is not satisfied, a process for re-provisioning the temporary reservation is performed, and a third notification indicating that the temporary reservation has been re-performed. Since the warning is output to the third address, even if the high-risk pregnant S-HR does not satisfy the recommended conditions, it is possible to secure a medical appointment frame for the high-risk pregnant S-HR. In addition, it can be expected that the high-risk pregnant S-HR will come to the clinic at the time when the appointment is re-booked. Therefore, the seriousness of symptoms of high-risk pregnant S-HR can be effectively avoided.
  • the reservation discarding process is performed as in the case where the determination unit 42 determines that the risk is a low-risk pregnant S-LR and the minimum condition is not satisfied.
  • the first warning process may be performed as in the first embodiment, or the second warning process may be performed as in the second embodiment.
  • the case where the earliest treatment time among the treatment times for which there is no prior appointment is on the day of the treatment date of the original tentative reservation, naturally, the treatment of the day of the treatment date of the original provisional reservation
  • the treatment of the day of the treatment date of the original provisional reservation There may be a case where the earliest medical treatment time among all the medical treatment times in which all the reservation frames are filled and without any predecessor is after the day after the original provisional medical treatment date.
  • the delivery destination of the third warning notification screen 70 may also be a terminal owned by a related person of the pregnant woman S.
  • the fourth address that is the output destination of the fourth warning is the same as the first address of the first address data table 35 shown in FIG. 8 of the first embodiment and the third address of the third embodiment. Therefore, in the following description, the first address data table 35 is referred to as the fourth address data table 35, and the first address is referred to as the fourth address.
  • the output control unit 45 reads the fourth address corresponding to the target person ID registered in the reservation data table 32 from the fourth address data table 35. Then, a fourth warning is output to the read fourth address.
  • the fourth warning is a warning sound 81 (see FIG. 30) on the biosensor 11 at a predesignated time, for example, 2 hours before the start of the medical treatment on the day of the medical treatment (in this case, 07:00 of 2016/8/24). The content is to start ringing.
  • the biosensor 11 has a speaker 80.
  • the subject terminal 15 has a function of controlling the output of the speaker 80 in response to the fourth warning.
  • the subject terminal 15 that has received the fourth warning from the output control unit 45 transmits a warning start command for starting ringing of the warning sound 81 to the biosensor 11 at the time designated by the fourth warning.
  • the biological sensor 11 emits a warning sound 81 from the speaker 80.
  • the warning sound 81 may be a mechanical sound such as a beep sound or a message sound such as “It is the day of medical treatment.
  • the warning sound 81 is emitted from the speaker 80 of the biological sensor 11, that is, the fourth warning is displayed by the biological sensor 11, the probability that the pregnant woman S forgets to measure the biological information can be further reduced.
  • the target terminal 15 often emits various notification sounds such as a ringtone and a mail reception sound.
  • the warning sound 81 cannot be distinguished from many other notification sounds.
  • the notification sound is limited to the warning sound 81 only. This is because the warning sound 81 is not mixed with other notification sounds.
  • the fourth warning may be displayed not on the biosensor 11 but on the subject terminal 15. Further, the fourth warning may be displayed by a device different from the biosensor 11 and the subject terminal 15.
  • the timing for outputting the fourth warning from the output control unit 45 may be a time just specified in advance or may be before that. For example, if the predesignated time is 2 hours before the start of the medical treatment on the day of medical treatment, the fourth warning may be output at 21:00 on the day before the medical treatment day. However, the timing at which the warning start command is transmitted from the subject terminal 15 to the biosensor 11 is limited to the time just specified in advance, regardless of the timing at which the fourth warning is output.
  • the start time of the fourth warning may be transmitted from the subject terminal 15 to the biometric sensor 11 before the time specified in advance.
  • the biometric sensor 11 stores the start time, and when the start time is reached, the biometric sensor 11 emits a warning sound 81 from the speaker 80 itself.
  • the biometric sensor 11 and the medical appointment management server 12 are connected via the network 16 without going through the subject terminal 15, the fourth address is set as the address of the biometric sensor 11, and the fourth warning is directly sent from the output control unit 45 to the biometric sensor 11. It may be output.
  • the warning sound 81 is exemplified as one form of the fourth warning output.
  • a message such as “It is the day of medical treatment. Please perform measurement” is displayed on this display. Good.
  • the pregnant woman S may be configured to change the setting of the confirmed medical treatment time.
  • a change button 86 for changing the setting of the confirmed medical time is provided.
  • the setting change screen 90 shown in FIG.
  • a table 91 indicating a reservation status, a setting button 92, a return button 93, and the like are displayed.
  • Table 91 shows the reservation status at each medical treatment time in the morning, and indicates that there is a pre-order (reservation is possible) and no pre-reservation (reservation is not possible) at each medical time.
  • Table 91 is generated based on provisional reservation data.
  • a link 94 is provided for switching the table 91 to one indicating the status of an afternoon reservation.
  • a selection cursor is displayed in the currently set medical treatment time column in Table 91.
  • the selection cursor 95 can select only the medical time marked with ⁇ in the future from the current time and without predecessor, and cannot select the medical time in the past past the current time and the medical time marked with x. It is. In Table 91, a medical time that is earlier than the current time and a medical time that has a predecessor may be hidden.
  • the pregnant woman S confirms the reservation status in Table 91, and selects a desired medical treatment time from medical treatment times without prior agreement. As a result, the selection cursor 95 is moved to the medical treatment time column selected by the pregnant woman S. After selecting the desired medical treatment time, the pregnant woman S selects the setting button 92.
  • the setting button 92 When the setting button 92 is selected, a setting change instruction including the selected medical treatment time and the subject ID of the pregnant woman S is transmitted from the subject terminal 15 to the medical treatment appointment management server 12.
  • the return button 93 is selected, the display is returned from the setting change screen 90 to the reservation confirmation notification screen 85.
  • the appointment processing unit 43 performs a medical appointment setting change process.
  • the setting change process is a reservation cancellation process of the confirmed original reservation, a provisional reservation process to the medical treatment time selected by the pregnant woman S on the setting change screen 90, and a reservation confirmation process.
  • the medical treatment time determined by the reservation processing unit 43 can be changed to a medical time convenient for the pregnant woman S, and the case where the pregnant woman S is not in time for the confirmed medical treatment time can be handled. Can do.
  • Some biosensors 11 have correct mounting positions such as the CTG sensor 11A and blood pressure monitor 11B exemplified in the first embodiment. If such a biosensor 11 is not mounted at the correct mounting position, the reliability of the measurement data is lowered, and it is not useful for medical care. Therefore, in the sixth embodiment shown in FIGS. 33 to 35, it is determined whether or not the mounting position of the biosensor 11 is wrong based on the measurement data, and if it is determined that the mounting position is incorrect, the mounting is performed. A fifth warning indicating that the position is incorrect is output.
  • the fifth address data table 100 is stored in the storage device 20 of the medical appointment management server 12 of the sixth embodiment.
  • the fifth address data table 100 as in the second address of the second address data table 63 shown in FIG. 22 of the second embodiment, the e-mail address that the medical staff can view on the staff terminal 17 and the SNS The ID or telephone number of the medical staff of the message service provided by (Social Networking Service) is registered as the fifth address.
  • the fifth addresses are registered for the subject IDs of all pregnant women S regardless of the high-risk pregnant women S-HR and the low-risk pregnant women S-LR.
  • the measurement data receiving unit 41 outputs the measurement data to the determination unit 42.
  • the determination unit 42 determines whether the mounting position of the biosensor 11 is incorrect based on the measurement data from the measurement data reception unit 41. The determination as to whether or not the mounting position of the biosensor 11 is wrong is made, for example, by comparing the numerical range of the measurement data in a certain period with a preset threshold range. In this case, when the numerical value range of the measurement data in a certain period is within the threshold range, the determination unit 42 determines that the mounting position of the biosensor 11 is correct. On the contrary, when the numerical value range of the measurement data in the certain period is not within the threshold range, it is determined that the mounting position of the biosensor 11 is incorrect.
  • the determination unit 42 determines that the mounting position of the biosensor 11 is incorrect
  • the determination unit 42 outputs a determination result indicating that the mounting position of the biosensor 11 is incorrect (mounting position NG) to the output control unit 45 together with the subject ID.
  • the output control unit 45 reads the fifth address corresponding to the target person ID of the determination result from the fifth address data table 100.
  • the output control unit 45 outputs a fifth warning to the read fifth address.
  • FIG. 34 illustrates a case where it is determined that the mounting position of the CTG sensor 11A of the first pregnant woman S-1 is incorrect.
  • the output control unit 45 outputs the fifth warning to the fifth address “YYY01” corresponding to the subject ID “S001” of the first pregnant woman S-1.
  • the output control unit 45 outputs a fifth warning notification screen 103 shown in FIG. 35 to the staff terminal 17 as one form of output of the fifth warning.
  • a medical staff member who is in charge of the medical staff gives a message indicating that the mounting position of the biosensor 11 is incorrect, that is, a fifth warning and a procedure for correcting the mounting position of the biosensor 11.
  • the confirmation button 104 is a button for erasing the display of the fifth warning notification screen 103.
  • FIG. 35 illustrates a case where it is determined that the mounting position of the CTG sensor 11A of the first pregnant woman S-1 is incorrect following FIG.
  • the measurement data itself is a value that should be determined by the determination unit 42 if the mounting position of the biosensor 11 is incorrect, but the actual mounting position of the biosensor 11 is not incorrect, the health status of the pregnant woman S An abnormality requiring emergency treatment may have occurred. However, even in such a case, according to the sixth embodiment, since the medical staff is ready to contact the pregnant woman S, the emergency visit to the pregnant woman S can be promoted.
  • the medical treatment When it is detected at the time of medical treatment of the pregnant woman S that the measurement is performed while the wearing position of the biosensor 11 is wrong, the medical treatment must be interrupted and remeasured. Then, the medical treatment is prolonged, the staying time of the pregnant woman S in the medical facility 13 is lengthened, and the medical treatment time must be adjusted.
  • the sixth embodiment such a situation can be avoided.
  • the determination as to whether the mounting position of the biosensor 11 is incorrect may be made based on the difference between the previous measurement data and the current measurement data. That is, if the difference between the previous measurement data and the current measurement data is greater than or equal to a preset threshold value, it is determined that the mounting position of the biosensor 11 is incorrect, and conversely if the difference is smaller than the threshold value, It is determined that the mounting position of the sensor 11 is correct.
  • the temporary reservation is canceled if the low-risk pregnant woman S-LR has not performed the measurement of the minimum condition, but instead of or in addition to the temporary reservation cancellation, the pregnant woman S A warning that prompts the user to measure biometric information may be output to the fifth address.
  • a warning that the pregnant woman S is prompted to measure biometric information is output to the first address (subject terminal 15) of the first address data table 35 shown in FIG. 8 of the first embodiment. May be.
  • the fifth warning notification screen 103 may be distributed to the target person terminal 15 instead of or in addition to the staff terminal 17.
  • the fifth warning notification screen 103 may display a mounting guide made up of diagrams and texts indicating the correct mounting position of the biometric sensor 11.
  • the fifth warning notification screen 103 may be distributed to a terminal owned by a related person of the pregnant woman S. Examples of the pregnant woman S in this case include the husband of the pregnant woman S who has been lectured by the medical staff on how to install the biosensor 11 together with the pregnant woman S.
  • the health condition of the pregnant woman S can be estimated from the measurement data. Therefore, in the seventh embodiment shown in FIGS. 36 to 39, based on the measurement data, it is determined whether the health condition of the pregnant woman S is abnormal, the pregnant woman S is a high-risk pregnant woman S-HR, and When it is determined that the health condition is abnormal, a sixth warning that the health condition of the high-risk pregnant S-HR is abnormal is output.
  • the second address of the second address data table 63 shown in FIG. 22 of the second embodiment is set as the sixth warning output destination.
  • the measurement data receiving unit 41 outputs the measurement data to the determination unit 42 as in the sixth embodiment.
  • the determination unit 42 determines whether the health state of the pregnant woman S is abnormal based on the measurement data from the measurement data reception unit 41.
  • the determination as to whether or not the health state of the pregnant woman S is abnormal is performed by, for example, comparing CTG measurement data with medical abnormal findings such as sinusoidal patterns and delayed transient bradycardia. Further, the measurement is performed by comparing blood pressure measurement data with a medically determined normal value of blood pressure.
  • the determination unit 42 determines that the health state of the pregnant woman S is abnormal
  • the determination unit 42 outputs a determination result indicating that the health state of the pregnant woman S is abnormal (abnormal measurement data) to the output control unit 45 together with the subject ID.
  • a determination result indicating that the health state of the pregnant woman S is abnormal (abnormal measurement data)
  • the output control unit 45 outputs a sixth warning to the second address.
  • the risk data from the risk data table 34 is “low” and the determination unit 42 determines that the risk is low-risk pregnant S-LR
  • FIG. 36 illustrates a case where the CTG measurement data of the first pregnant woman S-1 that is a high-risk pregnant woman S-HR is determined to be abnormal.
  • the output control unit 45 outputs the sixth warning to the second address “YYY01” corresponding to the subject ID “S001” of the first pregnant woman S-1.
  • FIG. 37 illustrates a case where the blood pressure measurement data of the second pregnant woman S-2, which is a low-risk pregnant woman S-LR, is determined to be abnormal. In this case, the output control unit 45 does not output the sixth warning.
  • the output control unit 45 distributes the sixth warning notification screen 105 shown in FIG. 38 to the staff terminal 17 as one form of output of the sixth warning.
  • the sixth warning notification screen 105 displays a message indicating that the health status of the high-risk pregnant S-HR in charge of the medical staff is abnormal, that is, the sixth warning and prompting the high-risk pregnant S-HR to immediately receive medical care. A message that prompts the medical staff to do this and a phone number to contact the high-risk pregnant S-HR.
  • the confirmation button 106 is a button for erasing the display of the sixth warning notification screen 105.
  • FIG. 38 illustrates a case in which the CTG measurement data of the first pregnant woman S-1 is determined to be abnormal, following FIG.
  • the output control unit 45 displays the sixth warning notification screen 105 on the sixth warning notification screen 105.
  • Two addresses (staff terminal 17) are output (step ST520).
  • the determination unit 42 determines that the risk is a low-risk pregnant woman S-LR (NO in step ST500)
  • the sixth warning notification screen 105 is not output regardless of the determination result of the health state. If the determination unit 42 determines that the risk is high-risk pregnant S-HR and the health condition is normal (YES in step ST500, NO in step ST510), the sixth warning notification screen 105 is not output as a matter of course. .
  • the determination unit 42 determines the high-risk pregnant woman S-HR and determines that the health condition is abnormal
  • the sixth warning that the health condition of the high-risk pregnant woman S-HR is abnormal is output. Therefore, serious symptoms of high-risk pregnant S-HR can be effectively avoided.
  • the sixth warning is not output regardless of the health condition determination result. This eliminates the need for medical staff to perform unnecessary and urgent treatments such as prompting the low-risk pregnant S-LR to receive medical care immediately.
  • the sixth warning notification screen 105 may be distributed to a terminal owned by a related person of the pregnant woman S.
  • the determination unit 42 determines whether the health state of the pregnant woman S is abnormal based on the measurement data.
  • a determination result (measurement data abnormality) indicating that the health state of the pregnant woman S is abnormal is output to the reservation processing unit 43 together with the subject ID.
  • the appointment processing unit 43 sets the earliest medical treatment time that can be set regardless of whether there is a prior agreement. Specifically, the appointment processing unit 43 performs this appointment process as a process related to a medical appointment.
  • the reservation process is a process of outputting a reservation instruction for setting the earliest medical treatment time that can be set regardless of whether there is a prior agreement to the data management unit 44 and the output control unit 45 (not shown in FIG. 40). .
  • FIG. 40 illustrates a case where the CTG measurement data of the first pregnant woman S-1 that is a high-risk pregnant woman S-HR is determined to be abnormal at 10:10 on 2016/8/24.
  • the reservation processing unit 43 estimates the estimated time that the pregnant woman S is going to the hospital as 1 hour, and sets the earliest medical time 11:15 to 11:30 that can be set as the medical time of the first pregnant woman S-1. Is output to the data management unit 44.
  • the data management unit 44 Before setting, there is a pre-determined premise of the pregnant woman S with the subject ID “S055” at the medical hours 11:15 to 11:30, but the data management unit 44 has the pregnant woman S with the subject ID “S055”.
  • the predecessor is moved to 11:45 to 12:00, which is the earliest medical treatment time among medical treatment times without a predecessor.
  • the patient ID “S001” of the first pregnant woman S-1 is registered at the vacant medical hours 11:15 to 11:30, and 1 is registered in the confirmation flag.
  • the output control unit 45 not only outputs the reservation confirmation notification screen 50 to the target terminal 15 of the first pregnant woman S-1, but also hands over the medical time to the first pregnant woman S-1,
  • the reservation confirmation notification screen 50 is also output to the subject terminal 15 of the pregnant woman S with the subject ID “S055” whose medical examination time has been changed.
  • the reservation processing unit 43 determines whether or not there is a predecessor The earliest medical time that can be set is set (step ST600). On the other hand, if the determination unit 42 determines that the risk is a low-risk pregnant woman S-LR (NO in step ST500), nothing is performed. Of course, if the determination unit 42 determines a high-risk pregnant woman S-HR and determines that the health condition is normal (YES in step ST500, NO in step ST510), nothing is performed.
  • the determination unit 42 determines the high-risk pregnant woman S-HR and determines that the health condition is abnormal
  • the earliest medical treatment time that can be set regardless of whether or not there is a prior agreement is set.
  • a high-risk pregnant S-HR with an abnormal condition can be treated with priority over anyone. Therefore, the seriousness of symptoms of high-risk pregnant S-HR can be effectively avoided.
  • the seventh embodiment and the eighth embodiment that output the sixth warning when it is determined that the health state of the high-risk pregnant S-HR is abnormal may be combined. The effect of avoiding serious symptoms of high-risk pregnant S-HR can be further enhanced.
  • the reservation processing unit 43 sets the earliest medical time out of the medical time that has no predecessor when finalizing the temporary reservation. At this time, the medical treatment time of the high-risk pregnant woman S-HR may be set earlier than the low-risk pregnant woman S-LR.
  • the medical treatment reservation is divided into two stages, the temporary reservation and the main reservation. It can be used without being conscious of the pregnant woman S, and is convenient for the pregnant woman S. Since the medical treatment time is known at the time of provisional reservation, it is easy for the pregnant woman S to make a schedule. In addition, it is easier for the medical facility 13 to set the medical treatment time by provisional reservation because scheduling is easier. Further, since it is assumed that the majority of pregnant women S will finish measuring biometric information in time for the provisional appointment, the time required for rescheduling such as adjusting the order of treatment is minimized. .
  • the present invention is not limited to this.
  • the present invention can also be applied to a case where the target person terminal 15 and the staff terminal 17 are equipped with a videophone function and receive online medical care at home 14 using the videophone function.
  • the working efficiency of the doctor D in charge is improved compared with the case of going to hospital. If the current doctor's doctor D's hand is available before the time when the current time is fixed, the doctor's doctor D can immediately contact the pregnant woman S and start the online medical treatment ahead of schedule. . The doctor in charge D may contact the pregnant woman S who has been provisionally reserved in order to perform online medical care.
  • a screen displaying a list showing whether or not the recommended condition and the minimum condition are satisfied for each pregnant woman S may be output to the staff terminal 17.
  • a medical staff can contact the pregnant woman S who does not satisfy the recommended condition or the minimum condition, and can take measures such as prompting measurement of biological information.
  • the medical reservation management server 12 is installed in one medical facility 13, and the medical reservation management server 12 manages the medical reservation of the one medical facility 13, but a plurality of medical facilities 13 are provided. These medical appointments may be managed by one medical appointment management server 12.
  • the medical appointment management server 12 may be installed in one of the plurality of medical facilities 13 or provides a facility of an operating entity different from the plurality of medical facilities 13, for example, the operation program 30. It may be installed in a manufacturer's data center.
  • the target terminal 15 and the staff terminal 17 are not limited to the smartphones and tablet computers exemplified in the first embodiment, but are other portable information terminals, notebook computers, desktop computers, or the medical appointment management system 10 only. It may be a device manufactured in the same way.
  • the hardware configuration of the computer constituting the medical appointment management apparatus of the present invention can be variously modified.
  • the medical appointment management apparatus can be configured by a plurality of computers separated as hardware for the purpose of improving processing capability and reliability.
  • the functions of the provisional reservation receiving unit 40, the functions of the measurement data receiving unit 41, the determination unit 42, and the reservation processing unit 43, and the functions of the data management unit 44 and the output control unit 45 are combined into three computers. Distribute and carry.
  • the medical appointment management apparatus is composed of three computers.
  • a recommended condition determination unit having a recommended condition determination function, a minimum condition determination unit having a minimum condition determination function, and a subject determination unit having a subject determination function may be provided separately.
  • the hardware configuration of the computer can be changed as appropriate in accordance with instructed performance such as processing capability, safety, and reliability.
  • the AP such as the operation program 30 can be duplicated or distributed and stored in a plurality of storage devices for the purpose of ensuring safety and reliability. .
  • each screen such as the reservation confirmation notification screen 50 is output from the output control unit 45 in the form of screen data for web distribution
  • an AP for generating each screen is installed,
  • the output control unit 45 may output data necessary for generating each screen (for example, a medical treatment time determined by the reservation processing unit 43). Or you may output the text data of the message described on each screen to the object person terminal 15 grade
  • the output form of the result of the reservation process is not limited to the reservation confirmation notification screen of each of the above embodiments.
  • An e-mail that reports the result of the reservation process may be transmitted to an e-mail address that the pregnant woman S can view on the subject terminal 15. Or you may transmit the fax which can report the result of a reservation process to the fax number of the pregnant woman S's home 14.
  • the target person is not limited to the pregnant woman S exemplified in the above embodiments.
  • it may be a person who needs to monitor the health condition, such as a patient who has undergone laparotomy and is being treated at home 14 after discharge.
  • a processing unit that executes various processes such as the provisional reservation receiving unit 40, the measurement data receiving unit 41, the determination unit 42, the reservation processing unit 43, the data management unit 44, and the output control unit 45.
  • the hardware structure of) is the following various processors.
  • processors include a CPU, a programmable logic device (PLD), a dedicated electric circuit, and the like.
  • the CPU is a general-purpose processor that executes software (program) and functions as various processing units as is well known.
  • the PLD is a processor whose circuit configuration can be changed after manufacturing, such as FPGA (Field Programmable Gate Gate Array).
  • the dedicated electric circuit is a processor having a circuit configuration designed exclusively for executing a specific process such as ASIC (Application Specific Specific Integrated Circuit).
  • One processing unit may be composed of one of these various processors, or may be composed of a combination of two or more processors of the same type or different types (for example, a combination of a plurality of FPGAs or CPUs and FPGAs). May be. Further, the plurality of processing units may be configured by one processor. As an example of configuring a plurality of processing units with one processor, first, there is a form in which one processor is configured by a combination of one or more CPUs and software, and this processor functions as a plurality of processing units. . Secondly, as represented by a system-on-chip (SoC), there is a form in which a processor that realizes the functions of the entire system including a plurality of processing units with one IC chip is used. As described above, various processing units are configured using one or more of the various processors as a hardware structure.
  • SoC system-on-chip
  • circuitry circuitry in which circuit elements such as semiconductor elements are combined.
  • a provisional reservation accepting processor for accepting a provisional reservation of a medical appointment of a subject who measures biological information using a biological sensor;
  • a measurement data reception processor for receiving measurement data of the biological information;
  • a recommended condition determination processor that determines whether a recommended condition that is a measurement condition of the biological information recommended for measurement is satisfied,
  • a minimum condition determination processor that determines whether or not a minimum condition that is a measurement condition of the biological information necessary for medical treatment is satisfied;
  • a subject determination processor that determines whether the subject is a high-risk subject with a high risk of symptom severity, or a low-risk subject with a lower risk than the high-risk subject; and
  • a reservation processing processor that performs processing related to the medical appointment, and when the recommended condition determination processor determines that the recommended condition is satisfied, and the target person determination processor determines the low risk target person, and the minimum condition If it is determined by the determination processor that the minimum condition is satisfied, a reservation processing processor that performs a process of determining the provision
  • the medical appointment management device includes: A provisional reservation accepting processor for accepting a provisional reservation of the medical appointment; A measurement data reception processor for receiving measurement data of the subject's biological information; Based on the measurement data, a recommended condition determination processor that determines whether a recommended condition that is a measurement condition of the biological information recommended for measurement is satisfied, Based on the measurement data, a minimum condition determination processor that determines whether or not a minimum condition that is a measurement condition of the biological information necessary for medical treatment is satisfied; A subject determination processor that determines whether the subject is a high-risk subject with a high risk of symptom severity, or a low-risk subject with a lower risk than the high-risk subject; and A reservation processing processor that performs processing related to the medical appointment, and when the recommended condition determination processor determines that the recommended condition is satisfied, and the target person determination
  • the present invention can be appropriately combined with the above-described various embodiments and various modifications. Moreover, it is needless to say that various configurations can be adopted without departing from the gist of the present invention. Furthermore, the present invention extends to a storage medium for storing a program in addition to the program.

Abstract

Provided are: a medical examination reservation management device which is capable of preventing medical examination reservations which are disadvantageous for both subjects whose biological information is measured using biological sensors, and a medical facility which receives medical examination reservations for the subjects; a method and a program for operating same; and a medical examination reservation management system. On the basis of measurement data of biological information of a pregnant woman (S), a determination unit (42) determines whether a recommendation condition, i.e. a measurement condition for which measurement is recommended, and a minimum condition, i.e. the minimum required measurement condition for a medical examination, are satisfied. The determination unit (42) determines whether the pregnant woman is a high risk pregnant woman (S-HR) for whom there is a high risk that symptoms will become serious, or a low risk pregnant woman (S-LR) for whom there is a low risk that symptoms will become serious. A reservation processing unit (43) confirms a provisional reservation if the determination unit (42) has determined that the pregnant women is a low risk pregnant woman (S-LR), and that the minimum condition has been satisfied.

Description

診療予約管理装置とその作動方法および作動プログラム、並びに診療予約管理システムMedical appointment management device, its operating method and program, and medical appointment management system
 本発明は、診療予約管理装置とその作動方法および作動プログラム、並びに診療予約管理システムに関する。 The present invention relates to a medical appointment management device, its operating method and operating program, and a medical appointment management system.
 医療施設において、診療の順番をコンピュータで管理することが行われている。例えば特許文献1には、通常は医療施設へ来院して受け付けをした順、または診療予約をした順に診療の順番が決定されるところを、症状が重い対象者(患者)ほど診療の順番を早め、症状が重い対象者を優先的に診療可能とした技術が記載されている。 In a medical facility, the order of medical treatment is managed by a computer. For example, in Patent Document 1, the order of medical treatment is usually determined in the order of visiting a medical facility and accepting it, or in the order of making medical appointments. In addition, a technique for preferential treatment of a subject with severe symptoms is described.
 特許文献1では、自宅等の医療施設外の遠隔地にて、対象者が生体センサを使用して生体情報を測定している。そして、この生体情報の測定データに基づいて症状の軽重を判定している。 In Patent Document 1, a subject measures biological information using a biological sensor at a remote place outside a medical facility such as a home. Then, the severity of the symptom is determined based on the measurement data of the biological information.
 より具体的には、診療当日に得られた最新の測定データが、健康な状態の場合の測定データからどれだけ逸脱しているかを示す逸脱度を算出する。そして、算出した逸脱度と受付時刻を変数とする加算式から診療の順番の優先度を算出し、優先度の値が高い対象者ほど、優先的に診療すべき症状が重い対象者と判定している。対象者が生体センサを装着していない等の理由で最新の測定データが得られなかった場合、すなわち最新の生体情報が測定されていなかった場合は、逸脱度を0とすることが記載されている。 More specifically, the degree of deviation indicating how much the latest measurement data obtained on the day of medical care deviates from the measurement data in a healthy state is calculated. Then, the priority of the medical treatment order is calculated from the addition formula using the calculated deviation degree and reception time as variables, and a subject with a higher priority value is determined to be a subject with a higher symptom to be treated preferentially. ing. It is described that the degree of deviation is set to 0 when the latest measurement data is not obtained because the subject is not wearing a biosensor, for example, when the latest biometric information is not measured. Yes.
特開2015-114761号公報JP2015-114761A
 前述のように、特許文献1では、最新の生体情報が測定されていなかった場合は逸脱度を0としているが、この場合の優先度は比較的低い値となる。このため、最新の生体情報を測定していなかった対象者は、診療の順番が後回しにされがちである。 As described above, in Patent Document 1, when the latest biological information is not measured, the deviation degree is set to 0, but the priority in this case is a relatively low value. For this reason, the subject who has not measured the latest biological information tends to be postponed in order of medical treatment.
 しかしながら、対象者の中には、例えば症状が比較的安定していて、症状が重篤化するリスクが低い対象者等、診療時に最新の生体情報が必須ではなく、例えば前日の生体情報さえあれば診療に支障がない者もいる。こうした対象者が診療予約をしていた場合は、前日の生体情報は測定していて診療に支障がないにも関わらず、最新の生体情報を測定していないだけで診療の順番が後回しにされてしまう。このため、せっかくの診療予約が無駄になる。また、医療施設にとっても、確保していた診療予約の枠が無駄になる。 However, among subjects, for example, subjects whose symptoms are relatively stable and have a low risk of becoming symptomatic, the latest biological information is not essential at the time of medical treatment, for example, there is even the biological information of the previous day. Some people have no problem with their treatment. When these subjects have made medical appointments, the medical information of the previous day is being measured and there is no hindrance to the medical treatment, but the latest medical information is not measured and the order of medical treatment is postponed. End up. For this reason, precious medical appointments are wasted. Also, for medical facilities, the reserved medical treatment reservation frame is wasted.
 本発明は、生体センサを用いて生体情報を測定する対象者、および対象者の診療予約を受ける医療施設の双方が、診療予約において不利益を蒙ることを防ぐことが可能な診療予約管理装置とその作動方法および作動プログラム、並びに診療予約管理システムを提供することを目的とする。 The present invention relates to a medical appointment management apparatus capable of preventing both a subject who measures biometric information using a biometric sensor and a medical facility receiving a medical appointment of the subject from suffering a disadvantage in the medical appointment. It is an object of the present invention to provide an operating method, an operating program, and a medical appointment management system.
 上記課題を解決するために、本発明の診療予約管理装置は、生体センサを使用して生体情報を測定する対象者の診療予約の仮予約を受け付ける仮予約受付部と、生体情報の測定データを受け付ける測定データ受付部と、測定データに基づいて、測定が推奨される生体情報の測定条件である推奨条件が満たされたか否かを判定する推奨条件判定部と、測定データに基づいて、診療に最低限必要な生体情報の測定条件である最低条件が満たされたか否かを判定する最低条件判定部と、対象者が、症状が重篤化するリスクが高い高リスク対象者であるか、高リスク対象者よりもリスクが低い低リスク対象者であるかを判定する対象者判定部と、診療予約に関する処理を行う予約処理部であり、推奨条件判定部で推奨条件が満たされたと判定した場合、および対象者判定部で低リスク対象者と判定し、かつ最低条件判定部で最低条件が満たされたと判定した場合、仮予約を確定する処理を行う予約処理部と、予約処理部の処理結果を出力する出力制御部とを備える。 In order to solve the above-described problem, a medical appointment management apparatus according to the present invention includes a temporary reservation accepting unit that accepts a temporary appointment of a medical appointment of a subject who measures biometric information using a biometric sensor, and biometric information measurement data. A measurement data reception unit that accepts, a recommended condition determination unit that determines whether or not a recommended condition, which is a measurement condition of biological information recommended for measurement, is satisfied based on the measurement data, and a medical treatment based on the measurement data The minimum condition determination unit that determines whether or not the minimum condition, which is the minimum necessary measurement condition of biological information, is satisfied, and whether the subject is a high-risk subject who has a high risk of symptom seriousness. A target person judgment unit that determines whether the subject is a low-risk subject with a lower risk than the risk target person and a reservation processing part that performs processing related to medical appointments, and the recommended condition judgment part determines that the recommended condition has been satisfied. When the target determination unit determines that the subject is a low-risk target and the minimum condition determination unit determines that the minimum condition is satisfied, the reservation processing unit performs processing for finalizing a provisional reservation, and the processing result of the reservation processing unit The output control part which outputs.
 予約処理部は、対象者判定部で低リスク対象者と判定し、かつ最低条件判定部で最低条件が満たされていないと判定した場合、仮予約を破棄する処理を行うことが好ましい。 The reservation processing unit preferably performs a process of discarding the provisional reservation when the target determination unit determines that the subject is a low risk target and the minimum condition determination unit determines that the minimum condition is not satisfied.
 予約処理部は、対象者判定部で高リスク対象者と判定し、かつ推奨条件判定部で推奨条件が満たされていないと判定した場合、出力制御部に警告を出力させる処理を行うことが好ましい。 The reservation processing unit preferably performs processing to output a warning to the output control unit when the target determination unit determines that the subject is a high risk target and the recommended condition determination unit determines that the recommended condition is not satisfied. .
 出力制御部は、警告として、高リスク対象者に通院を促す旨の第1警告を、予め登録された第1アドレスに出力することが好ましい。 It is preferable that the output control unit outputs, as a warning, a first warning that prompts a high-risk subject to go to the first address registered in advance.
 出力制御部は、警告として、高リスク対象者が推奨条件を満たしていない旨の第2警告を、予め登録された第2アドレスに出力することが好ましい。 The output control unit preferably outputs, as a warning, a second warning that the high-risk subject does not satisfy the recommended condition to a second address registered in advance.
 予約処理部は、対象者判定部で低リスク対象者と判定し、かつ推奨条件判定部で推奨条件が満たされていないと判定した場合、仮予約をし直す処理を行い、出力制御部は、警告として、仮予約をし直した旨の第3警告を、予め登録された第3アドレスに出力することが好ましい。 When the reservation processing unit determines that the subject determination unit is a low-risk target person and the recommended condition determination unit determines that the recommended condition is not satisfied, the reservation processing unit performs a process for re-provisioning the provisional reservation, and the output control unit As a warning, it is preferable to output a third warning to the effect that the temporary reservation has been made again to a third address registered in advance.
 対象者は妊婦であり、生体情報は、少なくとも胎児の心拍および子宮収縮圧を測定項目として含むことが好ましい。 The subject is a pregnant woman, and the biological information preferably includes at least fetal heartbeat and uterine contraction pressure as measurement items.
 推奨条件は、仮予約した診療日当日の胎児の心拍および子宮収縮圧の測定データが得られているか否かを含み、最低条件は、仮予約した診療日当日と、仮予約した診療日当日より前の所定期間の胎児の心拍および子宮収縮圧の測定データが得られているか否かを含むことが好ましい。 The recommended conditions include whether or not fetal heart rate and uterine contraction pressure measurement data are available on the day of provisional appointment, and the minimum conditions are the day of provisional appointment and the day of provisional appointment Preferably, it includes whether or not measurement data of fetal heart rate and uterine contraction pressure in the previous predetermined period have been obtained.
 推奨条件は、胎児の心拍および子宮収縮圧に加えて他の測定項目の測定データが得られているか否かを含み、最低条件は、少なくとも胎児の心拍および子宮収縮圧の測定データが得られているか否かを含むことが好ましい。 The recommended conditions include whether or not fetal heart rate and uterine contraction pressure data are obtained in addition to the measurement data of other measurement items, and the minimum condition is that at least fetal heart rate and uterine contraction pressure measurement data are obtained. It is preferable to include whether or not.
 出力制御部は、仮予約に応じて指定された時点である指定時点までに、推奨条件の生体情報の測定を終了すべき旨の第4警告を、予め登録された第4アドレスに出力することが好ましい。この場合、第4警告は、生体センサで表示されることが好ましい。 The output control unit outputs a fourth warning to the effect that the measurement of the biometric information of the recommended condition should be completed to a pre-registered fourth address by a designated time point that is a time point designated according to the provisional reservation. Is preferred. In this case, it is preferable that the fourth warning is displayed by a biometric sensor.
 本発明の診療予約管理装置の作動方法は、生体センサを使用して生体情報を測定する対象者の診療予約の仮予約を受け付ける仮予約受付ステップと、生体情報の測定データを受け付ける測定データ受付ステップと、測定データに基づいて、測定が推奨される生体情報の測定条件である推奨条件が満たされたか否かを判定する推奨条件判定ステップと、測定データに基づいて、診療に最低限必要な生体情報の測定条件である最低条件が満たされたか否かを判定する最低条件判定ステップと、対象者が、症状が重篤化するリスクが高い高リスク対象者であるか、高リスク対象者よりもリスクが低い低リスク対象者であるかを判定する対象者判定ステップと、診療予約に関する処理を行う予約処理ステップであり、推奨条件判定ステップで推奨条件が満たされたと判定した場合、および対象者判定ステップで低リスク対象者と判定し、かつ最低条件判定ステップで最低条件が満たされたと判定した場合、仮予約を確定する処理を行う予約処理ステップと、予約処理ステップの処理結果を出力する出力制御ステップとを備える。 The operation method of the medical appointment management apparatus of the present invention includes a temporary reservation accepting step for accepting a temporary appointment of a medical appointment of a subject who measures biometric information using a biometric sensor, and a measurement data accepting step for accepting measurement data of biometric information. And a recommended condition determination step for determining whether or not a recommended condition, which is a measurement condition of biological information recommended for measurement, is satisfied based on the measurement data, and a minimum necessary living body for medical care based on the measurement data A minimum condition determination step for determining whether or not the minimum condition, which is a measurement condition of information, is satisfied, and whether the subject is a high-risk subject who has a high risk of symptom seriousness or higher than the high-risk subject It is a subject determination step that determines whether the subject is a low-risk low-risk subject, and a reservation processing step that performs processing related to medical appointments. A reservation processing step for performing a process of finalizing a provisional reservation when it is determined that the condition is satisfied, and when it is determined that the person is a low-risk target person at the target person determination step and the minimum condition is satisfied at the minimum condition determination step; And an output control step for outputting the processing result of the reservation processing step.
 本発明の診療予約管理装置の作動プログラムは、生体センサを使用して生体情報を測定する対象者の診療予約の仮予約を受け付ける仮予約受付機能と、生体情報の測定データを受け付ける測定データ受付機能と、測定データに基づいて、測定が推奨される生体情報の測定条件である推奨条件が満たされたか否かを判定する推奨条件判定機能と、測定データに基づいて、診療に最低限必要な生体情報の測定条件である最低条件が満たされたか否かを判定する最低条件判定機能と、対象者が、症状が重篤化するリスクが高い高リスク対象者であるか、高リスク対象者よりもリスクが低い低リスク対象者であるかを判定する対象者判定機能と、診療予約に関する処理を行う予約処理機能であり、推奨条件判定機能で推奨条件が満たされたと判定した場合、および対象者判定機能で低リスク対象者と判定し、かつ最低条件判定機能で最低条件が満たされたと判定した場合、仮予約を確定する処理を行う予約処理機能と、予約処理機能の処理結果を出力する出力制御機能とを、コンピュータに実行させる。 The operation program of the medical appointment management device of the present invention includes a temporary reservation accepting function for accepting a temporary appointment of a medical appointment of a subject who measures biometric information using a biometric sensor, and a measurement data accepting function for accepting measurement data of biological information Based on the measurement data, the recommended condition determination function for determining whether the recommended condition, which is the measurement condition of the biological information recommended for measurement, is satisfied, and the minimum necessary living body for medical care based on the measurement data The minimum condition determination function that determines whether the minimum condition that is the information measurement condition has been satisfied, and whether the subject is a high-risk subject with a high risk of symptom seriousness or higher than the high-risk subject It is a subject judgment function that determines whether the subject is a low-risk low-risk subject and a reservation processing function that performs processing related to medical appointments. The recommended condition judgment function judges that the recommended conditions have been met. A reservation processing function that performs a process of finalizing a provisional reservation and a processing of the reservation processing function when the target person determination function determines that the person is a low-risk target person and the minimum condition determination function determines that the minimum condition is satisfied. The computer executes an output control function for outputting the result.
 本発明の診療予約管理システムは、健康状態の監視が必要な対象者に使用される生体センサと、ネットワーク上に設置され、対象者の診療予約を管理する診療予約管理装置とを備える診療予約管理システムにおいて、診療予約管理装置は、診療予約の仮予約を受け付ける仮予約受付部と、対象者の生体情報の測定データを受け付ける測定データ受付部と、測定データに基づいて、測定が推奨される生体情報の測定条件である推奨条件が満たされたか否かを判定する推奨条件判定部と、測定データに基づいて、診療に最低限必要な生体情報の測定条件である最低条件が満たされたか否かを判定する最低条件判定部と、対象者が、症状が重篤化するリスクが高い高リスク対象者であるか、高リスク対象者よりもリスクが低い低リスク対象者であるかを判定する対象者判定部と、診療予約に関する処理を行う予約処理部であり、推奨条件判定部で推奨条件が満たされたと判定した場合、および対象者判定部で低リスク対象者と判定し、かつ最低条件判定部で最低条件が満たされたと判定した場合、仮予約を確定する処理を行う予約処理部と、予約処理部の処理結果を出力する出力制御部とを備える。 A medical appointment management system according to the present invention includes a biometric sensor used for a subject who needs to monitor a health condition, and a medical appointment management device installed on a network and managing a medical appointment of the subject. In the system, the medical reservation management device includes a temporary reservation receiving unit that receives a temporary reservation of a medical reservation, a measurement data receiving unit that receives measurement data of biological information of the subject, and a biological body recommended for measurement based on the measurement data A recommended condition determination unit that determines whether or not a recommended condition that is a measurement condition of information is satisfied, and whether or not a minimum condition that is a minimum measurement condition of biological information necessary for medical care is satisfied based on measurement data The minimum condition determination unit that determines whether the subject is a high-risk subject who has a high risk of symptom severity or a low-risk subject who has a lower risk than the high-risk subject. Is a target determination unit that determines whether or not a recommendation processing unit performs a process related to medical appointment, and when the recommended condition determination unit determines that the recommended condition is satisfied, and the target determination unit determines that the subject is a low risk target When the minimum condition determination unit determines that the minimum condition is satisfied, the reservation processing unit includes a reservation processing unit that performs a process for determining a provisional reservation, and an output control unit that outputs a processing result of the reservation processing unit.
 本発明によれば、症状が重篤化するリスクが低い低リスク対象者であり、かつ診療に最低限必要な生体情報の測定条件である最低条件が満たされた場合に、仮予約を確定するので、低リスク対象者は、測定が推奨される生体情報の測定条件である推奨条件が満たされていないだけで診療の順番が後回しにされてしまうことがなく、最低条件を満たしてさえいれば仮予約の通りに診療を受けることができる。したがって、生体センサを用いて生体情報を測定する対象者、および対象者の診療予約を受ける医療施設の双方が、診療予約において不利益を蒙ることを防ぐことが可能な診療予約管理装置とその作動方法および作動プログラム、並びに診療予約管理システムを提供することができる。 According to the present invention, a provisional appointment is confirmed when a low-risk subject who has a low risk of becoming symptomatic and satisfies the minimum condition that is a minimum requirement for biometric information for medical treatment. Therefore, low-risk subjects do not defer the order of medical treatment just because the recommended condition, which is the measurement condition of biometric information recommended for measurement, is not satisfied, as long as the minimum condition is satisfied. You can receive medical care as you make a temporary reservation. Therefore, a medical appointment management apparatus capable of preventing both a subject who measures biometric information using a biometric sensor and a medical facility receiving a medical appointment of the subject from suffering a disadvantage in the medical appointment and its operation A method and operating program and a medical appointment management system can be provided.
診療予約管理システムを示す図である。It is a figure which shows a medical treatment reservation management system. 診療予約管理サーバを構成するコンピュータを示すブロック図である。It is a block diagram which shows the computer which comprises a medical treatment reservation management server. 診療予約管理サーバの中央制御部の構成を示すブロック図である。It is a block diagram which shows the structure of the central control part of a medical treatment reservation management server. 測定データテーブルを示す図である。It is a figure which shows a measurement data table. 予約データテーブルを示す図である。It is a figure which shows a reservation data table. 条件データテーブルを示す図である。It is a figure which shows a condition data table. リスクデータテーブルを示す図である。It is a figure which shows a risk data table. 第1アドレスデータテーブルを示す図である。It is a figure which shows a 1st address data table. 判定部および予約処理部の機能を示す図である。It is a figure which shows the function of a determination part and a reservation process part. 高リスク妊婦で推奨条件が満たされた場合を示す図である。It is a figure which shows the case where a recommended condition is satisfy | filled with the high risk pregnant woman. 低リスク妊婦で推奨条件が満たされた場合を示す図である。It is a figure which shows the case where a recommended condition is satisfy | filled with the low risk pregnant woman. 低リスク妊婦で最低条件が満たされた場合を示す図である。It is a figure which shows the case where the minimum condition is satisfy | filled with the low risk pregnant woman. 低リスク妊婦で最低条件が満たされていない場合を示す図である。It is a figure which shows the case where the minimum conditions are not satisfy | filled with a low-risk pregnant woman. 高リスク妊婦で推奨条件が満たされていない場合を示す図である。It is a figure which shows the case where the recommended conditions are not satisfy | filled with a high risk pregnant woman. 図10~図14に示す予約処理部の各処理をまとめた表である。15 is a table summarizing each process of the reservation processing unit shown in FIGS. 予約確定通知画面を示す図である。It is a figure which shows a reservation confirmation notification screen. 予約破棄通知画面を示す図である。It is a figure which shows a reservation cancellation notification screen. 第1警告通知画面を示す図である。It is a figure which shows a 1st warning notification screen. 診療予約管理サーバの処理手順を示すフローチャートである。It is a flowchart which shows the process sequence of a medical treatment reservation management server. 診療予約管理サーバの処理手順を示すフローチャートである。It is a flowchart which shows the process sequence of a medical treatment reservation management server. 診療予約管理サーバの処理手順を示すフローチャートである。It is a flowchart which shows the process sequence of a medical treatment reservation management server. 第2アドレスデータテーブルを示す図である。It is a figure which shows a 2nd address data table. 第2実施形態において、高リスク妊婦で推奨条件が満たされていない場合を示す図である。In 2nd Embodiment, it is a figure which shows the case where the recommended conditions are not satisfy | filled with a high-risk pregnant woman. 第2警告通知画面を示す図である。It is a figure which shows a 2nd warning notification screen. 第3実施形態において、高リスク妊婦で推奨条件が満たされていない場合を示す図である。In 3rd Embodiment, it is a figure which shows the case where a recommendation condition is not satisfy | filled with a high-risk pregnant woman. 第3実施形態において、高リスク妊婦で推奨条件が満たされていない場合を示す図である。In 3rd Embodiment, it is a figure which shows the case where a recommendation condition is not satisfy | filled with a high-risk pregnant woman. 第3実施形態において、高リスク妊婦で推奨条件が満たされていない場合を示す図である。In 3rd Embodiment, it is a figure which shows the case where a recommendation condition is not satisfy | filled with a high-risk pregnant woman. 第3警告通知画面を示す図である。It is a figure which shows a 3rd warning notification screen. 仮予約に応じて指定された時点である指定時点までに、生体情報の測定を終了すべき旨の第4警告を出力する態様を示す図である。It is a figure which shows the aspect which outputs the 4th warning that the measurement of biometric information should be complete | finished by the designated time which is the time designated according to provisional reservation. 第4警告を生体センサで表示する態様を示す図である。It is a figure which shows the aspect which displays a 4th warning with a biometric sensor. 第5実施形態の予約確定通知画面を示す図である。It is a figure which shows the reservation confirmation notification screen of 5th Embodiment. 設定変更画面を示す図である。It is a figure which shows a setting change screen. 第5アドレスデータテーブルを示す図である。It is a figure which shows a 5th address data table. 生体センサの装着位置が間違っていると判定した場合に第5警告を出力する態様を示す図である。It is a figure which shows the aspect which outputs a 5th warning, when it determines with the mounting position of a biometric sensor being wrong. 第5警告通知画面を示す図である。It is a figure which shows the 5th warning notification screen. 高リスク妊婦の健康状態が異常であった場合に第6警告を出力する態様を示す図である。It is a figure which shows the aspect which outputs a 6th warning, when the health state of a high-risk pregnant woman is abnormal. 低リスク妊婦であった場合に第6警告を出力しない態様を示す図である。It is a figure which shows the aspect which does not output a 6th warning, when it is a low risk pregnant woman. 第6警告通知画面を示す図である。It is a figure which shows the 6th warning notification screen. 第7実施形態の診療予約管理サーバの処理手順を示すフローチャートである。It is a flowchart which shows the process sequence of the medical treatment reservation management server of 7th Embodiment. 高リスク妊婦の健康状態が異常であった場合に、先約の有無に関わらず設定し得る最も早い診療時刻を設定する態様を示す図である。It is a figure which shows the aspect which sets the earliest medical treatment time which can be set irrespective of the presence or absence of a prior agreement, when the health state of a high-risk pregnant woman is abnormal. 第8実施形態の診療予約管理サーバの処理手順を示すフローチャートである。It is a flowchart which shows the process sequence of the medical treatment reservation management server of 8th Embodiment.
 [第1実施形態]
 図1において、診療予約管理システム10は、生体センサに相当するCTGセンサ(胎児の心拍および子宮収縮圧(CTG)を測定するセンサをCTGセンサと記載)11A、血圧計11B、および体重計11Cと、診療予約管理装置に相当する診療予約管理サーバ12とを備えている。以下では、CTGセンサ11A、血圧計11B、および体重計11Cを、まとめて生体センサ11と表記する。
[First embodiment]
In FIG. 1, a medical appointment management system 10 includes a CTG sensor (a sensor for measuring a fetal heartbeat and uterine contraction pressure (CTG) described as a CTG sensor) 11A, a sphygmomanometer 11B, and a weight scale 11C corresponding to a biological sensor. And a medical appointment management server 12 corresponding to the medical appointment management apparatus. Hereinafter, the CTG sensor 11A, the sphygmomanometer 11B, and the weight scale 11C are collectively referred to as the biosensor 11.
 生体センサ11は、妊娠34週~36週の妊婦Sに対して、医療施設13から配布される。妊婦Sは、健康状態の監視が必要な対象者に相当し、医療施設13に定期的に通院している。妊婦Sは、医療施設13外の遠隔地に相当する自宅14にて、自ら生体センサ11を使用して生体情報を測定する。なお、ここでいう健康状態とは、文字通り妊婦S自身の健康状態に加えて、胎児の健康状態も含む。 The biosensor 11 is distributed from the medical facility 13 to the pregnant woman S in the 34th to 36th weeks of pregnancy. The pregnant woman S corresponds to a subject who needs to monitor the health condition, and regularly visits the medical facility 13. The pregnant woman S measures biological information by using the biological sensor 11 at home 14 corresponding to a remote place outside the medical facility 13. In addition, the health condition here includes not only the health condition of the pregnant woman S but also the health condition of the fetus.
 妊婦Sの中には、症状が重篤化するリスクが高い者(以下、高リスク妊婦S-HR、高リスク対象者に相当)と、高リスク妊婦S-HRよりも症状が重篤化するリスクが低い者(以下、低リスク妊婦S-LR、低リスク対象者に相当)とがいる。高リスク妊婦S-HRは、胎児発育不全等の胎児要因、あるいは低年齢出産(18歳未満)、高齢出産(35歳以上)、糖尿病等の母体要因をもち、これらの要因により切迫早産や死産等を引き起こすリスクが比較的高い者である。こうした高リスク妊婦S-HRは、症状の重篤化を避けるため、健康状態について特に留意する必要がある。 Among pregnant women S, those who are at a higher risk of developing symptoms (hereinafter referred to as high-risk pregnant women S-HR, equivalent to high-risk subjects) and those who are more serious than high-risk pregnant women S-HR There are low-risk people (hereinafter referred to as low-risk pregnant S-LR, low-risk subjects). High-risk pregnant S-HR has fetal factors such as fetal growth failure, or maternal factors such as low birth (under 18 years old), old birth (over 35 years old), and diabetes. Those who have a relatively high risk of causing etc. These high-risk pregnant S-HRs need to pay particular attention to their health status in order to avoid serious symptoms.
 CTGセンサ11Aは妊婦Sの腹壁に、血圧計11Bは妊婦Sの上腕部にそれぞれ装着される。体重計11Cは自宅14の床面に設置される。この場合の生体情報の測定項目は、CTGセンサ11Aで測定される胎児の心拍および子宮収縮圧(CTG)、血圧計11Bで測定される血圧、および体重計11Cで測定される体重である。妊婦Sは、これらの各測定項目を1セットとしてまとめて測定する。なお、これらの他にも、妊婦Sの体温、心拍数、呼吸数、体動量等、生体情報に関するものであればいかなるものでも、生体情報の測定項目として加えてよい。 The CTG sensor 11A is attached to the abdominal wall of the pregnant woman S, and the sphygmomanometer 11B is attached to the upper arm of the pregnant woman S. The weight scale 11 </ b> C is installed on the floor surface of the home 14. The measurement items of the biological information in this case are the fetal heartbeat and uterine contraction pressure (CTG) measured by the CTG sensor 11A, the blood pressure measured by the sphygmomanometer 11B, and the body weight measured by the weight scale 11C. The pregnant woman S measures these measurement items as one set. In addition to these, anything related to biological information such as the body temperature, heart rate, respiratory rate, and amount of body movement of the pregnant woman S may be added as a measurement item of biological information.
 生体センサ11は、Bluetooth(登録商標)等に代表される近距離無線送受信機能を有する。生体センサ11は、近距離無線送受信機能を用いて、生体情報の測定データを対象者端末15にリアルタイムで無線送信する。対象者端末15は、妊婦Sが所有するスマートフォンやタブレットコンピュータ等である。なお、測定データをリアルタイムで無線送信するのではなく、生体センサ11で測定データを一旦ストックしておき、予め決められた時刻に、あるいは妊婦Sの操作に応じて、測定データを無線送信する構成でもよい。 The biosensor 11 has a short-range wireless transmission / reception function represented by Bluetooth (registered trademark) or the like. The biometric sensor 11 wirelessly transmits measurement data of biometric information to the subject terminal 15 in real time using the short-range wireless transmission / reception function. The target person terminal 15 is a smartphone, a tablet computer, or the like owned by the pregnant woman S. In addition, the measurement data is not wirelessly transmitted in real time, but the measurement data is temporarily stocked by the biosensor 11, and the measurement data is wirelessly transmitted at a predetermined time or according to the operation of the pregnant woman S. But you can.
 測定データは対象者ID(Identification Data)を含む。対象者IDは、個々の妊婦Sを識別するための記号や番号(図4等参照)であり、生体センサ11の内部メモリ(図示せず)に記憶されている。なお、対象者IDには、ユニークに決定される生体センサ11の製造番号を利用してもよい。この場合、医療施設13で妊婦Sに生体センサ11を配布する際に、診療予約管理サーバ12において生体センサ11の製造番号と妊婦Sの情報とを対応付けて管理し、生体センサ11の製造番号から妊婦Sを識別可能な構成としておく。 Measured data includes the subject ID (Identification Data). The subject ID is a symbol or number (see FIG. 4 or the like) for identifying each pregnant woman S, and is stored in an internal memory (not shown) of the biosensor 11. Note that the serial number of the biosensor 11 that is uniquely determined may be used as the target person ID. In this case, when the biometric sensor 11 is distributed to the pregnant woman S at the medical facility 13, the medical appointment management server 12 manages the production number of the biometric sensor 11 and the information of the pregnant woman S in association with each other. Therefore, the pregnant woman S can be identified.
 また、生体センサ11にはバッテリ(図示せず)が内蔵されている。生体センサ11は、この内蔵バッテリからの電力で駆動する。このため、生体センサ11はワイヤレスで使用することが可能である。 The biosensor 11 has a built-in battery (not shown). The biosensor 11 is driven by electric power from this built-in battery. For this reason, the biosensor 11 can be used wirelessly.
 対象者端末15は、インターネットや公衆通信網といったWAN(Wide Area Network)等のネットワーク16を介して、診療予約管理サーバ12と相互に通信可能に接続されている。対象者端末15は、ネットワーク16を介して、生体センサ11からの測定データを診療予約管理サーバ12に送信する。なお、ネットワーク16には、情報セキュリティを考慮して、VPN(Virtual Private Network)が構築されたり、HTTPS(Hypertext Transfer Protocol Secure)等のセキュリティレベルの高い通信プロトコルが使用されている。 The target person terminal 15 is connected to the medical appointment management server 12 through a network 16 such as a WAN (Wide Area Network) such as the Internet or a public communication network so as to be able to communicate with each other. The subject terminal 15 transmits the measurement data from the biological sensor 11 to the medical appointment management server 12 via the network 16. Note that a communication protocol with a high security level such as a VPN (Virtual Private Network) or HTTPS (Hypertext Transfer Protocol Secure) is used for the network 16 in consideration of information security.
 ネットワーク16には、スタッフ端末17も接続されている。スタッフ端末17は、妊婦Sの担当医師Dや担当看護師Nといった医療スタッフが、医療施設13内で携行するスマートフォンやタブレットコンピュータ等である。 A staff terminal 17 is also connected to the network 16. The staff terminal 17 is a smartphone or a tablet computer carried by a medical staff such as a doctor D in charge of the pregnant woman S or a nurse N in charge within the medical facility 13.
 診療予約管理サーバ12は、医療施設13に設置される。診療予約管理サーバ12は、医療施設13における妊婦Sの診療予約を管理する。診療予約管理サーバ12は、診療予約を仮予約と本予約の二段階に分けて行う。より詳しくは、診療予約管理サーバ12は、第一段階として診療日および診療時刻を設定する仮予約を受け付け、仮予約を受け付けた後に、第二段階として仮予約した診療日および診療時刻を確定する本予約を行う。また、診療予約管理サーバ12は、対象者端末15からの測定データを受け付け、測定データに基づく判定を行う。 The medical appointment management server 12 is installed in the medical facility 13. The medical appointment management server 12 manages the medical appointment of the pregnant woman S in the medical facility 13. The medical appointment management server 12 divides the medical appointment into two stages, a temporary appointment and a main appointment. More specifically, the medical appointment management server 12 accepts a temporary appointment for setting a medical treatment date and a medical treatment time as the first stage, and after accepting the temporary reservation, confirms the medical appointment and the medical examination time temporarily reserved as the second stage. Make a reservation. The medical appointment management server 12 accepts measurement data from the subject terminal 15 and makes a determination based on the measurement data.
 診療予約管理サーバ12は、サーバコンピュータ、パーソナルコンピュータ、ワークステーションといったコンピュータをベースに、オペレーティングシステム等の制御プログラムや、各種アプリケーションプログラム(以下、APと略記)をインストールして構成される。 The medical appointment management server 12 is configured by installing a control program such as an operating system and various application programs (hereinafter abbreviated as AP) based on a computer such as a server computer, a personal computer, and a workstation.
 図2において、診療予約管理サーバ12を構成するコンピュータは、ストレージデバイス20、メモリ21、中央制御部(単一のパーソナルコンピュータのCPU(Central Processing Unit)、もしくは分散処理を行う複数のCPUの集合体)22、および通信部23を備えている。これらはデータバス24を介して相互接続されている。 In FIG. 2, the computer constituting the medical appointment management server 12 is a storage device 20, a memory 21, a central control unit (a CPU (Central Processing Unit) of a single personal computer, or an aggregate of a plurality of CPUs that perform distributed processing. ) 22 and a communication unit 23. These are interconnected via a data bus 24.
 ストレージデバイス20は、診療予約管理サーバ12を構成するコンピュータに内蔵、またはケーブルやネットワークを通じて接続されたハードディスクドライブ、もしくはハードディスクドライブを複数台連装したディスクアレイである。ストレージデバイス20には、オペレーティングシステム等の制御プログラムや各種AP、およびこれらのプログラムに付随する各種データ等が記憶されている。 The storage device 20 is a hard disk drive built in a computer constituting the medical appointment management server 12 or connected through a cable or a network, or a disk array in which a plurality of hard disk drives are connected. The storage device 20 stores a control program such as an operating system, various APs, and various data associated with these programs.
 メモリ21は、中央制御部22が処理を実行するためのワークメモリである。中央制御部22は、ストレージデバイス20に記憶されたプログラムをメモリ21へロードして、プログラムにしたがった処理を実行することにより、コンピュータの各部を統括的に制御する。通信部23は、ネットワーク16を介した各種情報の伝送制御を行うネットワークインターフェースである。 The memory 21 is a work memory for the central control unit 22 to execute processing. The central control unit 22 centrally controls each unit of the computer by loading a program stored in the storage device 20 into the memory 21 and executing processing according to the program. The communication unit 23 is a network interface that controls transmission of various information via the network 16.
 図3において、診療予約管理サーバ12のストレージデバイス20には、APとして作動プログラム30が記憶されている。作動プログラム30は、診療予約管理サーバ12を構成するコンピュータを、診療予約管理装置として機能させるためのAPである。ストレージデバイス20には、作動プログラム30の他に、測定データテーブル31(図4参照)、予約データテーブル32(図5参照)、条件データテーブル33(図6参照)、リスクデータテーブル34(図7参照)、および第1アドレスデータテーブル35(図8参照)が記憶されている。これら各データテーブル31~35については後述する。 In FIG. 3, the storage device 20 of the medical appointment management server 12 stores an operation program 30 as an AP. The operation program 30 is an AP for causing a computer constituting the medical appointment management server 12 to function as a medical appointment management device. In addition to the operation program 30, the storage device 20 includes a measurement data table 31 (see FIG. 4), a reservation data table 32 (see FIG. 5), a condition data table 33 (see FIG. 6), and a risk data table 34 (FIG. 7). And the first address data table 35 (see FIG. 8) are stored. Each of these data tables 31 to 35 will be described later.
 作動プログラム30が起動されると、診療予約管理サーバ12の中央制御部22は、メモリ21等と協働して、仮予約受付部40、測定データ受付部41、判定部42、予約処理部43、データ管理部44、および出力制御部45として機能する。 When the operation program 30 is activated, the central control unit 22 of the medical appointment management server 12 cooperates with the memory 21 and the like to provisional reservation reception unit 40, measurement data reception unit 41, determination unit 42, reservation processing unit 43. , Function as a data management unit 44 and an output control unit 45.
 仮予約受付部40は、仮予約を受け付ける仮予約受付機能を担う。前述のように、仮予約は、妊婦Sの診療予約について、診療日および診療時刻を設定するものである。仮予約は、例えば妊婦Sの診療終了後に、医療スタッフによりスタッフ端末17を介して行われる。 The temporary reservation receiving unit 40 has a temporary reservation receiving function for receiving temporary reservations. As described above, the provisional reservation is for setting the medical treatment date and the medical treatment time for the medical treatment reservation of the pregnant woman S. The provisional reservation is made, for example, by the medical staff via the staff terminal 17 after the completion of the medical treatment for the pregnant woman S.
 より詳しくは、診療予約管理サーバ12は、妊婦Sの診療終了後に、仮予約を設定するための仮予約設定画面(図示せず)をスタッフ端末17に配信する。仮予約設定画面には、例えば、先約なし(予約可)、先約あり(予約不可)といった各診療日の診療時刻毎の仮予約の状況、対象者ID、診療日、および診療時刻の入力ボックス、並びに設定ボタンが設けられている。医療スタッフは、仮予約の状況で予約の可否を確認し、妊婦Sの都合がよい診療日および診療時刻と対象者IDとを入力ボックスに入力し、設定ボタンを選択する。これによりスタッフ端末17から診療予約管理サーバ12に対象者IDと診療日および診療時刻からなる仮予約データが送信される。仮予約受付部40は仮予約データを受け付け、仮予約データをデータ管理部44に出力する。なお、医療スタッフではなく、対象者端末15を用いて自宅14等で妊婦S自らが仮予約を行ってもよい。 More specifically, the medical appointment management server 12 delivers a temporary appointment setting screen (not shown) for setting a temporary appointment to the staff terminal 17 after the completion of the medical care of the pregnant woman S. On the temporary reservation setting screen, for example, input of the status of temporary reservation for each medical treatment day, such as no pre-order (reservation possible) and pre-reservation (non-reservation), subject ID, medical treatment date, and medical treatment time Boxes and setting buttons are provided. The medical staff confirms whether or not the reservation can be made in the provisional reservation status, enters a medical treatment date and time that are convenient for the pregnant woman S, and a target person ID into the input box, and selects a setting button. As a result, temporary reservation data including the subject ID, the medical treatment date, and the medical treatment time are transmitted from the staff terminal 17 to the medical treatment appointment management server 12. The temporary reservation receiving unit 40 receives temporary reservation data and outputs the temporary reservation data to the data management unit 44. Note that the pregnant woman S may make a tentative reservation at the home 14 or the like using the subject terminal 15 instead of the medical staff.
 測定データ受付部41は、対象者端末15からの測定データを受け付ける測定データ受付機能を担う。測定データ受付部41は、受け付けた測定データをデータ管理部44に出力する。 The measurement data reception unit 41 has a measurement data reception function for receiving measurement data from the target person terminal 15. The measurement data reception unit 41 outputs the received measurement data to the data management unit 44.
 判定部42は、測定データに基づく判定を行う判定機能を担う。より具体的には、判定部42は、推奨条件判定機能、最低条件判定機能、および対象者判定機能を担う。すなわち、判定部42は、推奨条件判定部、最低条件判定部、および対象者判定部に相当する。 The determination unit 42 has a determination function for performing determination based on measurement data. More specifically, the determination unit 42 has a recommended condition determination function, a minimum condition determination function, and a subject determination function. That is, the determination unit 42 corresponds to a recommended condition determination unit, a minimum condition determination unit, and a subject determination unit.
 推奨条件は、妊婦Sに対して医学的に測定が推奨される生体情報の測定条件である。一方、最低条件は、妊婦Sの診療に最低限必要な生体情報の測定条件である。判定部42は、測定データに基づいて、推奨条件が満たされたか否かを判定する。また、判定部42は、測定データに基づいて、最低条件が満たされたか否かを判定する。 The recommended condition is a condition for measuring biological information that is medically recommended for the pregnant woman S. On the other hand, the minimum condition is a condition for measuring biological information that is minimum required for the medical treatment of the pregnant woman S. The determination unit 42 determines whether the recommended condition is satisfied based on the measurement data. The determination unit 42 determines whether the minimum condition is satisfied based on the measurement data.
 推奨条件および最低条件は、後述するように、測定項目とCTG測定期間とを規定したものである。このため判定部42は、各条件で規定される測定データの測定が終了したか否か、およびCTGの測定データの測定が、各条件で規定されるCTG測定期間内に終了したか否かを判定することで、推奨条件および最低条件が満たされたか否かを判定する。 Recommended conditions and minimum conditions specify the measurement items and the CTG measurement period, as will be described later. Therefore, the determination unit 42 determines whether measurement data measurement defined by each condition is completed and whether measurement of CTG measurement data is completed within the CTG measurement period defined by each condition. By determining, it is determined whether the recommended condition and the minimum condition are satisfied.
 判定部42は、予め設定された本予約のタイムリミットまでは判定を行わない。タイムリミットとなった場合、判定部42は、推奨条件判定機能と最低条件判定機能を働かせて、推奨条件および最低条件が満たされたか否かの判定を行う。また、判定部42は、対象者判定機能を働かせて、妊婦Sが高リスク妊婦S-HRであるか、低リスク妊婦S-LRであるかの判定を行う。そして、これらの判定の判定結果を対象者IDとともに予約処理部43に出力する。なお、タイムリミットは、妊婦Sが通院に掛ると予測される時間を見積もったうえで設定される。ここでは、仮予約で設定した診療時刻の1時間前をタイムリミットとする。なお、医療施設13の住所と自宅14の住所とに基づいて、妊婦Sが通院に掛ると予測される時間を導き出してもよい。 The determination unit 42 does not perform determination until a preset time limit of the reservation. When the time limit is reached, the determination unit 42 uses the recommended condition determination function and the minimum condition determination function to determine whether the recommended condition and the minimum condition are satisfied. In addition, the determination unit 42 uses the subject determination function to determine whether the pregnant woman S is a high-risk pregnant woman S-HR or a low-risk pregnant woman S-LR. Then, the determination results of these determinations are output to the reservation processing unit 43 together with the target person ID. The time limit is set after estimating the time when the pregnant woman S is expected to go to the hospital. Here, the time limit is one hour before the medical treatment time set in the provisional reservation. In addition, based on the address of the medical facility 13 and the address of the home 14, the time when the pregnant woman S is predicted to go to the hospital may be derived.
 予約処理部43は、妊婦Sの診療予約に関する処理を行う予約処理機能を担う。診療予約に関する処理には、仮予約を確定する処理(以下、予約確定処理)、仮予約を破棄する処理(以下、予約破棄処理)、および妊婦Sに通院を促す旨の第1警告を出力制御部45に出力させる処理(以下、第1警告処理)がある(図9参照)。 The reservation processing unit 43 has a reservation processing function for performing processing related to the medical reservation of the pregnant woman S. In the process related to the medical appointment, a process for finalizing the temporary appointment (hereinafter referred to as an appointment confirmation process), a process for discarding the temporary appointment (hereinafter referred to as an appointment cancellation process), and a first warning for prompting the pregnant woman S to go to the hospital There is processing (hereinafter referred to as first warning processing) to be output to the unit 45 (see FIG. 9).
 予約確定処理は、仮予約を確定する旨の予約確定指示を、データ管理部44および出力制御部45に出力する処理である。予約破棄処理は、仮予約を破棄する旨の予約破棄指示を、データ管理部44および出力制御部45に出力する処理である。第1警告処理は、第1警告の出力を指示する旨の第1警告指示を出力制御部45に出力する処理である。予約確定指示、予約破棄指示、および第1警告指示の各種指示には、対象者IDと仮予約の診療日および診療時刻が含まれる。 The reservation confirmation process is a process of outputting a reservation confirmation instruction to confirm the provisional reservation to the data management unit 44 and the output control unit 45. The reservation canceling process is a process of outputting a reservation canceling instruction for canceling the temporary reservation to the data management unit 44 and the output control unit 45. The first warning process is a process of outputting to the output control unit 45 a first warning instruction for instructing the output of the first warning. The various instructions such as the reservation confirmation instruction, the reservation cancellation instruction, and the first warning instruction include the subject ID, the medical date and the medical time of the temporary reservation.
 データ管理部44は、各データテーブル31~35への各データの登録、および各データテーブル31~35からの各データの読み出しを管理する。具体的には、データ管理部44は、測定データ受付部41からの測定データを測定データテーブル31に、仮予約受付部40からの仮予約データを予約データテーブル32に、それぞれ登録する。 The data management unit 44 manages the registration of each data in each data table 31 to 35 and the reading of each data from each data table 31 to 35. Specifically, the data management unit 44 registers the measurement data from the measurement data receiving unit 41 in the measurement data table 31 and the temporary reservation data from the temporary reservation receiving unit 40 in the reservation data table 32, respectively.
 データ管理部44は、測定データテーブル31の測定データ、および予約データテーブル32の仮予約データをストレージデバイス20から読み出し、測定データを判定部42に、仮予約データを予約処理部43に、測定データおよび仮予約データを出力制御部45に、それぞれ受け渡す。測定データを判定部42に受け渡すタイミングは、本予約のタイムリミットになった時点である。 The data management unit 44 reads the measurement data in the measurement data table 31 and the temporary reservation data in the reservation data table 32 from the storage device 20, reads the measurement data into the determination unit 42, the temporary reservation data into the reservation processing unit 43, and the measurement data The temporary reservation data is transferred to the output control unit 45. The timing at which the measurement data is transferred to the determination unit 42 is the time when the time limit for this reservation is reached.
 データ管理部44は、条件データテーブル33の条件データ、およびリスクデータテーブル34のリスクデータを判定部42に、第1アドレスデータテーブル35の第1アドレスを出力制御部45に、それぞれ受け渡す。 The data management unit 44 passes the condition data in the condition data table 33 and the risk data in the risk data table 34 to the determination unit 42, and the first address in the first address data table 35 to the output control unit 45.
 データ管理部44は、予約処理部43からの予約確定指示に応じて、予約データテーブル32の該当する仮予約データの対象者IDの書き換えを禁止する。また、データ管理部44は、予約処理部43からの予約破棄指示に応じて、該当する仮予約データの対象者IDを予約データテーブル32から削除する。 The data management unit 44 prohibits rewriting the subject person ID of the corresponding provisional reservation data in the reservation data table 32 in response to the reservation confirmation instruction from the reservation processing unit 43. Further, the data management unit 44 deletes the target ID of the corresponding provisional reservation data from the reservation data table 32 in response to the reservation discard instruction from the reservation processing unit 43.
 出力制御部45は、予約処理部43の処理結果を出力する出力制御機能を担う。より具体的には、出力制御部45は、予約処理部43から予約確定指示を受けた場合、予約確定通知画面50(図16参照)を対象者端末15に配信する。また、出力制御部45は、予約処理部43から予約破棄指示を受けた場合、予約破棄通知画面55(図17参照)を対象者端末15に配信する。さらに、出力制御部45は、予約処理部43から第1警告指示を受けた場合、第1警告通知画面60(図18参照)を対象者端末15に配信する。 The output control unit 45 has an output control function for outputting the processing result of the reservation processing unit 43. More specifically, when receiving a reservation confirmation instruction from the reservation processing unit 43, the output control unit 45 distributes the reservation confirmation notification screen 50 (see FIG. 16) to the target person terminal 15. Further, when receiving a reservation cancellation instruction from the reservation processing unit 43, the output control unit 45 distributes a reservation cancellation notification screen 55 (see FIG. 17) to the target person terminal 15. Further, when receiving a first warning instruction from the reservation processing unit 43, the output control unit 45 distributes the first warning notification screen 60 (see FIG. 18) to the target person terminal 15.
 予約確定通知画面50は、仮予約が確定された旨を妊婦Sに通知する画面である。予約破棄通知画面55は、仮予約が破棄された旨を妊婦Sに通知する画面である。第1警告通知画面60は、妊婦Sに通院を促す旨の第1警告を通知する画面である。 The reservation confirmation notification screen 50 is a screen for notifying the pregnant woman S that the provisional reservation has been confirmed. The reservation cancel notification screen 55 is a screen for notifying the pregnant woman S that the temporary reservation has been cancelled. The first warning notification screen 60 is a screen for notifying the first warning that the pregnant woman S is urged to go to the hospital.
 出力制御部45は、予約確定通知画面50、予約破棄通知画面55、および第1警告通知画面60を、例えば、XML(Extensible Markup Language)等のマークアップ言語によって作成されるウェブ配信用の画面データの形式で出力する。これにより、対象者端末15では、各画面50、55、60がウェブブラウザ上で閲覧可能となる。XMLに代えて、JSON(JavaScript(登録商標) Object Notation)等の他のデータ記述言語を利用してもよい。 The output control unit 45 generates screen data for web distribution created by a markup language such as XML (Extensible Markup Language) such as the reservation confirmation notification screen 50, the reservation discard notification screen 55, and the first warning notification screen 60. Output in the form Thereby, in the subject person terminal 15, each screen 50, 55, 60 can be browsed on a web browser. Instead of XML, other data description languages such as JSON (JavaScript (registered trademark) Object Notation) may be used.
 出力制御部45は、各画面50、55、60の配信に先立って、各画面50、55、60のURL(Uniform Resource Locator)を対象者端末15に送信する。そして、妊婦Sにより対象者端末15を通じてURLのリンクを開く操作がされた場合に、各画面50、55、60を配信する。 The output control unit 45 transmits the URL (Uniform Resource Locator) of each screen 50, 55, 60 to the target terminal 15 prior to distribution of each screen 50, 55, 60. When the pregnant woman S performs an operation of opening a URL link through the subject terminal 15, the respective screens 50, 55, and 60 are distributed.
 なお、出力制御部45は、上記の各画面50、55、60の他にも、前述の仮予約設定画面や、測定データを時系列に並べたグラフを表示するグラフ表示画面(図示せず)といった様々な画面を、ウェブ配信用の画面データの形式で対象者端末15あるいはスタッフ端末17に出力する。仮予約設定画面の仮予約の状況は、データ管理部44から受け渡された仮予約データに基づいて表示される。また、グラフ表示画面は、データ管理部44から受け渡された測定データに基づいて生成される。医療スタッフは、スタッフ端末17に配信されたグラフ表示画面を閲覧することで、医療施設13において妊婦Sの健康状態の遠隔監視が可能となる。 In addition to the screens 50, 55, and 60, the output control unit 45 displays the above-described provisional reservation setting screen and a graph display screen (not shown) that displays a graph in which measurement data is arranged in time series. Are output to the target terminal 15 or the staff terminal 17 in the form of screen data for web distribution. The provisional reservation status on the provisional reservation setting screen is displayed based on the provisional reservation data transferred from the data management unit 44. The graph display screen is generated based on the measurement data delivered from the data management unit 44. The medical staff can remotely monitor the health status of the pregnant woman S in the medical facility 13 by browsing the graph display screen distributed to the staff terminal 17.
 図4に示すように、測定データテーブル31には、CTG、血圧、体重の各測定項目の測定データが対象者ID別に登録されている。図示は省略したが、CTGの測定データは、測定データ受付部41で受け付けを開始した受付開始時刻および受け付けを終了した受付終了時刻とともに登録される。また、血圧、体重の各測定データは、測定データ受付部41で受け付けた受付時刻とともに登録される。測定データテーブル31には、1人の妊婦Sについて、担当医師Dが定めた測定期間中の全測定データが登録される。 As shown in FIG. 4, in the measurement data table 31, measurement data for each measurement item of CTG, blood pressure, and weight is registered for each subject ID. Although not shown, the CTG measurement data is registered together with the reception start time when the measurement data reception unit 41 starts reception and the reception end time when the reception ends. Each measurement data of blood pressure and weight is registered together with the reception time received by the measurement data reception unit 41. In the measurement data table 31, all the measurement data for a single pregnant woman S during the measurement period determined by the doctor in charge D is registered.
 図5に示すように、予約データテーブル32は、診療日毎に分けられている。1日の診療日の予約データテーブル32には、診療時刻毎に対象者IDと確定フラグが登録されている。時刻は、09:00~09:15、09:45~10:00等、例えば15分間隔で区切られた期間である。確定フラグは、仮予約が確定してデータ管理部44が対象者IDの書き換えを禁止したものには1、未確定のものには0が登録される。 As shown in FIG. 5, the reservation data table 32 is divided for each medical day. In the daily medical treatment day reservation data table 32, a subject ID and a confirmation flag are registered for each medical treatment time. The time is a period divided at intervals of 15 minutes, such as 09: 0 to 09:15, 09:45 to 10:00, and the like. As the confirmation flag, 1 is registered when the provisional reservation is confirmed and the data management unit 44 prohibits the rewriting of the target person ID, and 0 is registered when the provisional reservation is not confirmed.
 図5では、2016/8/24の予約データテーブル32を例示している。これによれば、時刻09:00~09:15には「S001」、時刻09:15~09:30には「S002」、時刻09:30~09:45には「S044」のそれぞれの対象者IDの妊婦Sの予約がなされている。そして、対象者ID「S001」、「S002」の妊婦Sの仮予約が確定しており、確定フラグの欄に1が登録されている。対して対象者ID「S044」の妊婦Sは仮予約が未確定であるため、確定フラグの欄には0が登録されている。 FIG. 5 illustrates the reserved data table 32 of 2016/8/24. According to this, “S001” at time 09: 0 to 09:15, “S002” at time 09:15 to 09:30, and “S044” at time 09:30 to 09:45 A reservation is made for the pregnant woman S of the person ID. The provisional reservation of the pregnant woman S with the subject person IDs “S001” and “S002” has been confirmed, and 1 is registered in the confirmation flag column. On the other hand, since the provisional reservation of the pregnant woman S with the subject person ID “S044” has not been confirmed, 0 is registered in the confirmation flag column.
 時刻09:45~10:00には、対象者IDは登録されておらず、この時刻の予約は未定となっている。このため確定フラグの欄には0が登録されている。仮予約の確定、未確定に関わらず、対象者IDが登録されている診療時刻は先約がある診療時刻、対象者IDが登録されていない診療時刻は先約がない診療時刻である。 From time 09:45 to 10:00, no subject ID is registered, and the reservation at this time is undecided. For this reason, 0 is registered in the confirmation flag column. Regardless of whether the provisional reservation is confirmed or not yet confirmed, the medical treatment time in which the subject person ID is registered is a medical treatment time with a predecessor, and the medical treatment time in which the subject person ID is not registered is a medical treatment time with no predecessor.
 図6に示すように、条件データテーブル33には、推奨条件および最低条件のそれぞれの条件データが登録されている。条件データテーブル33には、測定項目とCTG測定期間の欄が設けられている。 As shown in FIG. 6, in the condition data table 33, condition data of recommended conditions and minimum conditions are registered. The condition data table 33 has columns for measurement items and CTG measurement periods.
 推奨条件の測定項目の欄には、妊婦Sに対して測定が推奨される測定項目として、全ての測定項目であるCTG、血圧、および体重が登録されている。一方、最低条件の測定項目の欄には、妊婦Sの診療に最低限必要な測定項目として、CTGのみが登録されている。また、推奨条件のCTG測定期間の欄には、妊婦Sに対して測定が推奨されるCTG測定期間として、仮予約した診療日当日の06:00~仮予約した診療時刻の1時間前が登録されている。一方、最低条件のCTG測定期間の欄には、妊婦Sの診療に最低限必要なCTG測定期間として、仮予約した診療日前日の06:00~仮予約した診療時刻の1時間前が登録されている。 In the column of measurement items of recommended conditions, CTG, blood pressure, and body weight, which are all measurement items, are registered as measurement items recommended for the pregnant woman S. On the other hand, only the CTG is registered in the measurement item column of the minimum condition as the measurement item that is the minimum necessary for the medical treatment of the pregnant woman S. Also, in the CTG measurement period column of the recommended conditions, the CTG measurement period recommended for the pregnant woman S is registered from 06:00 on the tentative appointment date to 1 hour before the tentative appointment time. Has been. On the other hand, in the CTG measurement period column of the minimum condition, the CTG measurement period necessary for the medical treatment of the pregnant woman S is registered from 06:00 on the day before the provisional appointment day to one hour before the provisional appointment. ing.
 推奨条件のCTG測定期間の開始時刻は仮予約した診療日当日の06:00であり、最低条件のCTG測定期間の開始時刻は仮予約した診療日前日の06:00である。このため、CTG測定期間は最低条件に一日分の猶予が与えられている。また、推奨条件および最低条件ともに、CTG測定期間の終了時刻は仮予約した診療時刻の1時間前であり、この時刻は本予約のタイムリミットと同じである。 The start time of the recommended CTG measurement period is 06:00 on the day of provisional appointment, and the start time of the minimum condition CTG measurement period is 06:00 on the day before the provisional appointment. For this reason, a grace period of one day is given as a minimum condition for the CTG measurement period. In addition, in both the recommended condition and the minimum condition, the end time of the CTG measurement period is one hour before the temporarily reserved medical treatment time, and this time is the same as the time limit of this reservation.
 条件データテーブル33によれば、推奨条件は、CTG、血圧、および体重の測定データが得られ、かつ仮予約した診療日当日の06:00~仮予約した診療時刻の1時間前のCTGの測定データが得られていることで満たされる。対して、最低条件は、仮予約した診療日前日の06:00~仮予約した診療時刻の1時間前のCTGの測定データが得られてさえいれば満たされる。このように、最低条件は推奨条件と一部重複しており、推奨条件が満たされれば最低条件も自動的に満たされる内容となっている。 According to the condition data table 33, CTG, blood pressure, and weight measurement data are obtained as recommended conditions, and CTG measurement is performed from 06:00 on the tentative appointment date to 1 hour before the tentative appointment treatment time. Satisfied by having the data available. On the other hand, the minimum condition is satisfied as long as CTG measurement data from 06:00 on the day before the tentative appointment to 1 hour before the tentative appointment is obtained. In this way, the minimum condition partially overlaps with the recommended condition, and if the recommended condition is satisfied, the minimum condition is automatically satisfied.
 ここでCTGは、胎児が覚醒状態である場合の測定データが必要である。このため、CTGの測定時間には、約20分~約40分周期で睡眠と覚醒を繰り返す胎児のサイクルに応じた時間(例えば40分~50分)が予め設定されている。したがって、CTGの測定データは、予め設定された測定時間の間、継続して測定されたものである。判定部42は、このCTGの測定データの受け付けを測定データ受付部41で終了した受付終了時刻が、CTG測定期間内にあるか否かを判定することで、各条件を満たしているか否かを判定する。 Here, CTG requires measurement data when the fetus is in an awake state. Therefore, the CTG measurement time is set in advance to a time (for example, 40 minutes to 50 minutes) corresponding to the fetal cycle in which sleep and awakening are repeated at a cycle of about 20 minutes to about 40 minutes. Therefore, CTG measurement data is continuously measured for a preset measurement time. The determination unit 42 determines whether or not each condition is satisfied by determining whether or not the reception end time at which the reception of the measurement data of the CTG is ended by the measurement data reception unit 41 is within the CTG measurement period. judge.
 図7に示すように、リスクデータテーブル34には、高リスク妊婦S-HRの場合は「高」、低リスク妊婦S-LRの場合は「低」がそれぞれ対象者ID毎に登録されている。高リスク妊婦S-HRを示す「高」、低リスク妊婦S-LRを示す「低」は、医療スタッフにより予め登録される。妊婦Sが高リスク妊婦S-HRであるか低リスク妊婦S-LRであるかは、例えば、電子カルテに記述された妊婦Sの診療情報を参考に、医療スタッフが判断する。あるいは、診療予約管理サーバ12において、電子カルテの妊婦Sの診療情報を取得し、取得した診療情報に基づいて妊婦Sが高リスク妊婦S-HRであるか低リスク妊婦S-LRであるかを自動的に判断してもよい。 As shown in FIG. 7, in the risk data table 34, “high” for high-risk pregnant women S-HR and “low” for low-risk pregnant women S-LR are registered for each subject ID. . “High” indicating the high-risk pregnant woman S-HR and “low” indicating the low-risk pregnant woman S-LR are registered in advance by the medical staff. For example, the medical staff determines whether the pregnant woman S is a high-risk pregnant woman S-HR or a low-risk pregnant woman S-LR with reference to medical information of the pregnant woman S described in the electronic medical record, for example. Alternatively, the medical appointment management server 12 acquires medical information of the pregnant woman S in the electronic medical record, and determines whether the pregnant woman S is a high-risk pregnant woman S-HR or a low-risk pregnant woman S-LR based on the acquired medical information. It may be determined automatically.
 図8に示すように、第1アドレスデータテーブル35は、対象者ID毎に第1アドレスを登録したものである。第1アドレスは、各画面50、55、60の配信先である対象者端末15に対して、各画面50、55、60のURLを送信可能なアドレスである。第1アドレスは、例えば妊婦Sが対象者端末15で閲覧可能な電子メールのアドレスや、SNS(Social Networking Service)が提供するメッセージサービスの妊婦SのIDである。第1アドレスは、医療スタッフにより予め登録される。なお、対象者端末15がスマートフォンで携帯電話機能を有する場合は、電話番号を第1アドレスとして登録してもよい。 As shown in FIG. 8, the first address data table 35 is a table in which a first address is registered for each target person ID. The first address is an address at which the URL of each screen 50, 55, 60 can be transmitted to the target terminal 15 that is the delivery destination of each screen 50, 55, 60. The first address is, for example, an e-mail address that the pregnant woman S can view on the subject person terminal 15 or an ID of the pregnant woman S of a message service provided by SNS (Social Networking Service). The first address is registered in advance by the medical staff. In addition, when the target person terminal 15 is a smartphone and has a mobile phone function, the telephone number may be registered as the first address.
 図9において、判定部42は、タイムリミットとなった時点で、データ管理部44を通じて、測定データテーブル31からの測定データを受け取る。判定部42は、測定データと、条件データテーブル33からの条件データとを照らし合わせ、推奨条件および最低条件が満たされたか否かを判定する。また、判定部42は、リスクデータテーブル34からのリスクデータに基づいて、妊婦Sが高リスク妊婦S-HRであるか、低リスク妊婦S-LRであるかを判定する。 9, the determination unit 42 receives the measurement data from the measurement data table 31 through the data management unit 44 when the time limit is reached. The determination unit 42 compares the measurement data with the condition data from the condition data table 33 to determine whether the recommended condition and the minimum condition are satisfied. Further, the determination unit 42 determines whether the pregnant woman S is a high-risk pregnant woman S-HR or a low-risk pregnant woman S-LR based on the risk data from the risk data table 34.
 予約処理部43は、判定部42からの判定結果、すなわち、タイムリミットの時点における測定データの受け付け状況に応じた、推奨条件および最低条件が満たされたか否かの判定結果と、妊婦Sが高リスク妊婦S-HRであるか、低リスク妊婦S-LRであるかの判定結果とに基づいて、予約確定処理、予約破棄処理、および第1警告処理のうちから、行う処理を決定する。 The reservation processing unit 43 determines whether the determination result from the determination unit 42, that is, the determination result of whether the recommended condition and the minimum condition are satisfied according to the reception status of the measurement data at the time limit, and the pregnant woman S is high. Based on the determination result of whether it is a risk pregnant S-HR or a low risk pregnant S-LR, a process to be performed is determined from the reservation confirmation process, the reservation discard process, and the first warning process.
 図10および図11に示すように、判定部42で推奨条件が満たされた(推奨条件OK)と判定した場合、予約処理部43は、妊婦Sが高リスク妊婦S-HRであるか低リスク妊婦S-LRであるかに関わらず、予約確定処理を行う。 As shown in FIGS. 10 and 11, when the determination unit 42 determines that the recommended condition is satisfied (recommended condition OK), the reservation processing unit 43 determines whether the pregnant woman S is a high-risk pregnant woman S-HR or a low-risk woman. Regardless of whether it is a pregnant woman S-LR, a reservation confirmation process is performed.
 図10は、対象者ID「S001」の妊婦Sである第1妊婦S-1の場合、図11は、対象者ID「S002」の妊婦Sである第2妊婦S-2の場合をそれぞれ示す。まず図10において、第1妊婦S-1の本予約のタイムリミットである2016/8/24の08:00になった時点で、判定部42は、第1妊婦S-1の測定データを受け取る。この第1妊婦S-1の測定データには、CTG、血圧、および体重の各測定項目の測定データがあり、かつ仮予約した診療日当日の06:00~仮予約した診療時刻の1時間前である08:00の間に測定されたCTGの測定データがあるとする。 FIG. 10 shows the case of the first pregnant woman S-1 who is the pregnant woman S with the subject ID “S001”, and FIG. 11 shows the case of the second pregnant woman S-2 that is the pregnant woman S with the subject ID “S002”. . First, in FIG. 10, when it becomes 08:00 of 2016/8/24 which is the time limit of the main reservation of the first pregnant woman S-1, the determination unit 42 receives the measurement data of the first pregnant woman S-1. . The measurement data of the first pregnant woman S-1 includes measurement data of measurement items of CTG, blood pressure, and body weight, and from 06:00 on the tentative appointment date to one hour before the tentative appointment time Suppose that there is CTG measurement data measured during 08:00.
 判定部42は、第1妊婦S-1の測定データと推奨条件の条件データとを照らし合わせた結果、第1妊婦S-1が推奨条件を満たしていると判定する。また、判定部42は、リスクデータから、第1妊婦S-1が高リスク妊婦S-HRであると判定する。判定部42は、第1妊婦S-1が高リスク妊婦S-HRであり、かつ推奨条件を満たしている旨の判定結果を予約処理部43に出力する。 The determination unit 42 determines that the first pregnant woman S-1 satisfies the recommended condition as a result of comparing the measurement data of the first pregnant woman S-1 with the condition data of the recommended condition. Further, the determination unit 42 determines from the risk data that the first pregnant woman S-1 is a high-risk pregnant woman S-HR. The determination unit 42 outputs to the reservation processing unit 43 a determination result indicating that the first pregnant woman S-1 is a high-risk pregnant woman S-HR and satisfies the recommended conditions.
 予約処理部43は、判定部42からの判定結果を受けて、予約確定処理として、第1妊婦S-1の仮予約データを確定する旨の予約確定指示をデータ管理部44および出力制御部45に出力する。ここで、第1妊婦S-1は、リスクデータによれば高リスク妊婦S-HRであるが、予約処理部43は、推奨条件を満たしているとの判定結果であれば、リスクデータに関係なく予約確定指示を出力する。 In response to the determination result from the determination unit 42, the reservation processing unit 43 issues a reservation confirmation instruction to confirm the provisional reservation data of the first pregnant woman S-1 as a reservation confirmation process, the data management unit 44 and the output control unit 45. Output to. Here, the first pregnant woman S-1 is a high-risk pregnant woman S-HR according to the risk data, but if the reservation processing unit 43 determines that the recommended condition is satisfied, the first pregnant woman S-1 relates to the risk data. A reservation confirmation instruction is output.
 データ管理部44は、第1妊婦S-1の対象者ID「S001」が登録された、2016/8/24の予約データテーブル32の診療時刻09:00~09:15の確定フラグの欄に1を登録する。これにより第1妊婦S-1の仮予約が確定される。 The data management unit 44 registers the subject ID “S001” of the first pregnant woman S-1 in the column of the confirmation flag of the diagnosis time 09: 0 to 09:15 in the appointment data table 32 of 2016/8/24. 1 is registered. As a result, the provisional reservation for the first pregnant woman S-1 is confirmed.
 出力制御部45は、第1妊婦S-1の対象者ID「S001」に対応する第1アドレスである「XXX01」を第1アドレスデータテーブル35から読み出す。そして、読み出した第1アドレス(第1妊婦S-1の対象者端末15)に予約確定通知画面50を配信する。 The output control unit 45 reads “XXX01” that is the first address corresponding to the subject ID “S001” of the first pregnant woman S-1 from the first address data table 35. Then, the reservation confirmation notification screen 50 is distributed to the read first address (target terminal 15 of the first pregnant woman S-1).
 図11は、妊婦Sが第2妊婦S-2である他は、図10の場合と同様である。ただし、第2妊婦S-2が高リスク妊婦S-HRではなく低リスク妊婦S-LRである点で異なる。しかし、この場合も図10の場合と同じく、予約処理部43は、推奨条件を満たしているとの判定結果であれば、リスクデータに関係なく予約確定指示を出力する。 FIG. 11 is the same as FIG. 10 except that the pregnant woman S is the second pregnant woman S-2. The difference is that the second pregnant woman S-2 is not a high-risk pregnant woman S-HR but a low-risk pregnant woman S-LR. However, in this case as well as in the case of FIG. 10, if the determination result is that the recommended condition is satisfied, the reservation processing unit 43 outputs a reservation confirmation instruction regardless of the risk data.
 図12に示すように、予約処理部43は、図10および図11の判定部42で推奨条件が満たされたと判定した場合に加えて、判定部42で妊婦Sが低リスク妊婦S-LRと判定し、かつ最低条件が満たされた(最低条件OK)と判定した場合も、予約確定処理を行う。 As shown in FIG. 12, in addition to the case where the determination unit 42 of FIGS. 10 and 11 determines that the recommended condition is satisfied, the reservation processing unit 43 determines that the pregnant woman S is the low-risk pregnant woman S-LR. Even if it is determined and it is determined that the minimum condition is satisfied (minimum condition OK), the reservation confirmation process is performed.
 図12は、図11と同じく第2妊婦S-2の場合を示す。第2妊婦S-2の本予約のタイムリミットである2016/8/24の08:15になった時点で、判定部42は、第2妊婦S-2の測定データを受け取る。この第2妊婦S-2の測定データには、血圧、体重の各測定項目の測定データはないが、仮予約した診療日前日の06:00~仮予約した診療時刻の1時間前である08:15の間に測定されたCTGの測定データがあるとする。 FIG. 12 shows the case of the second pregnant woman S-2 as in FIG. When it becomes 08:15 of 2016/8/24 which is the time limit of the actual reservation of the second pregnant woman S-2, the determination unit 42 receives the measurement data of the second pregnant woman S-2. The measurement data of the second pregnant woman S-2 does not include the measurement data of each measurement item of blood pressure and weight, but it is from 06:00 on the day before the provisional appointment date to one hour before the provisional appointment time 08. : It is assumed that there is CTG measurement data measured during 15.
 判定部42は、第2妊婦S-2の測定データと最低条件の条件データとを照らし合わせた結果、第2妊婦S-2が最低条件を満たしていると判定する。また、第2妊婦S-2の測定データには、前述のように血圧、体重の各測定項目の測定データがないので、判定部42は、第2妊婦S-2が推奨条件を満たしていない(推奨条件NG)と判定する。さらに、判定部42は、リスクデータから、第2妊婦S-2が低リスク妊婦S-LRであると判定する。判定部42は、第2妊婦S-2が低リスク妊婦S-LRであり、かつ推奨条件を満たしておらず、最低条件を満たしている旨の判定結果を予約処理部43に出力する。 The determination unit 42 determines that the second pregnant woman S-2 satisfies the minimum condition as a result of comparing the measurement data of the second pregnant woman S-2 with the condition data of the minimum condition. In addition, since the measurement data of the second pregnant woman S-2 does not include the measurement data of each measurement item of blood pressure and weight as described above, the determination unit 42 does not satisfy the recommended condition for the second pregnant woman S-2. (Recommended condition NG). Furthermore, the determination unit 42 determines from the risk data that the second pregnant woman S-2 is a low-risk pregnant woman S-LR. The determination unit 42 outputs to the reservation processing unit 43 a determination result indicating that the second pregnant woman S-2 is a low-risk pregnant woman S-LR, does not satisfy the recommended condition, and satisfies the minimum condition.
 予約処理部43は、判定部42からの判定結果を受けて、第2妊婦S-2の仮予約データを確定する旨の予約確定指示をデータ管理部44および出力制御部45に出力する。以降の処理は図11の場合と同じである。 In response to the determination result from the determination unit 42, the reservation processing unit 43 outputs a reservation confirmation instruction to the data management unit 44 and the output control unit 45 to confirm the provisional reservation data of the second pregnant woman S-2. The subsequent processing is the same as in the case of FIG.
 図13に示すように、判定部42で妊婦Sが低リスク妊婦S-LRと判定し、かつ最低条件が満たされていないと判定した場合、予約処理部43は予約破棄処理を行う。 As shown in FIG. 13, when the determination unit 42 determines that the pregnant woman S is a low-risk pregnant woman S-LR and determines that the minimum condition is not satisfied, the reservation processing unit 43 performs a reservation discarding process.
 図13は、図11および図12と同じく第2妊婦S-2の場合を示す。この場合、第2妊婦S-2の測定データには、仮予約した診療日前日の06:00~仮予約した診療時刻の1時間前である08:15の間に測定されたCTGの測定データがないとする。 FIG. 13 shows the case of the second pregnant woman S-2 as in FIG. 11 and FIG. In this case, the measurement data of the second pregnant woman S-2 includes CTG measurement data measured between 06:00 on the day before the tentatively reserved medical treatment date and 08:15 one hour before the temporarily reserved medical treatment time. Suppose there is no.
 判定部42は、第2妊婦S-2の測定データと最低条件の条件データとを照らし合わせた結果、第2妊婦S-2が最低条件を満たしていない(最低条件NG)と判定する。また、第2妊婦S-2の測定データには、前述のように仮予約した診療日前日の06:00~仮予約した診療時刻の1時間前である08:15の間に測定されたCTGの測定データがない、すなわち仮予約した診療日当日の06:00~仮予約した診療時刻の1時間前である08:15の間に測定されたCTGの測定データがないので、判定部42は、第2妊婦S-2が推奨条件を満たしていないと判定する。さらに、判定部42は、リスクデータから、第2妊婦S-2が低リスク妊婦S-LRであると判定する。判定部42は、第2妊婦S-2が低リスク妊婦S-LRであり、かつ推奨条件および最低条件をともに満たしていない旨の判定結果を予約処理部43に出力する。 The determination unit 42 determines that the second pregnant woman S-2 does not satisfy the minimum condition (minimum condition NG) as a result of comparing the measurement data of the second pregnant woman S-2 with the condition data of the minimum condition. In addition, the measurement data of the second pregnant woman S-2 includes CTG measured between 06:00 on the day before the tentative appointment date and 08:15 one hour before the tentative appointment time as described above. Since there is no measurement data, that is, there is no measurement data of CTG measured between 06:00 on the day of the tentatively reserved medical treatment day and 08:15 one hour before the tentatively reserved medical treatment time. It is determined that the second pregnant woman S-2 does not satisfy the recommended conditions. Furthermore, the determination unit 42 determines from the risk data that the second pregnant woman S-2 is a low-risk pregnant woman S-LR. The determination unit 42 outputs to the reservation processing unit 43 a determination result that the second pregnant woman S-2 is a low-risk pregnant woman S-LR and that both the recommended condition and the minimum condition are not satisfied.
 予約処理部43は、判定部42からの判定結果を受けて、予約破棄処理として、第2妊婦S-2の仮予約データを破棄する旨の予約破棄指示をデータ管理部44および出力制御部45に出力する。 The reservation processing unit 43 receives the determination result from the determination unit 42, and as a reservation discarding process, the data management unit 44 and the output control unit 45 give a reservation discarding instruction to discard the provisional reservation data of the second pregnant woman S-2. Output to.
 データ管理部44は、第2妊婦S-2の対象者ID「S002」が登録された、2016/8/24の予約データテーブル32の診療時刻09:15~09:30の欄から、対象者ID「S002」を削除する。これにより第2妊婦S-2の仮予約が破棄される。 The data management unit 44 selects the subject person from the column of the medical hours 09:15 to 09:30 in the appointment data table 32 of 2016/8/24 in which the subject ID “S002” of the second pregnant woman S-2 is registered. The ID “S002” is deleted. As a result, the provisional reservation of the second pregnant woman S-2 is discarded.
 出力制御部45は、第2妊婦S-2の対象者ID「S002」に対応する第1アドレスである「XXX02」を第1アドレスデータテーブル35から読み出す。そして、読み出した第1アドレス(第2妊婦S-2の対象者端末15)に予約破棄通知画面55を出力する。 The output control unit 45 reads “XXX02” that is the first address corresponding to the subject ID “S002” of the second pregnant woman S-2 from the first address data table 35. Then, the reservation cancellation notification screen 55 is output to the read first address (target terminal 15 of the second pregnant woman S-2).
 図14に示すように、判定部42で妊婦Sが高リスク妊婦S-HRと判定し、かつ推奨条件が満たされていないと判定した場合、予約処理部43は第1警告処理を行う。 As shown in FIG. 14, when the determination unit 42 determines that the pregnant woman S is a high-risk pregnant woman S-HR and the recommended condition is not satisfied, the reservation processing unit 43 performs the first warning process.
 図14は、図10と同じく第1妊婦S-1の場合を示す。この場合、第1妊婦S-1の測定データには、仮予約した診療日当日の06:00~仮予約した診療時刻の1時間前である08:00の間に測定されたCTGの測定データがないとする。 FIG. 14 shows the case of the first pregnant woman S-1 as in FIG. In this case, the measurement data of the first pregnant woman S-1 includes CTG measurement data measured between 06:00 on the day of the temporarily reserved medical treatment day and 08:00, which is one hour before the temporarily reserved medical treatment time. Suppose there is no.
 判定部42は、第1妊婦S-1の測定データと推奨条件の条件データとを照らし合わせた結果、第1妊婦S-1が推奨条件を満たしていないと判定する。また、判定部42は、リスクデータから、第1妊婦S-1が高リスク妊婦S-HRであると判定する。判定部42は、第1妊婦S-1が高リスク妊婦S-HRであり、かつ推奨条件を満たしていない旨の判定結果を予約処理部43に出力する。 The determination unit 42 determines that the first pregnant woman S-1 does not satisfy the recommended condition as a result of comparing the measurement data of the first pregnant woman S-1 with the condition data of the recommended condition. Further, the determination unit 42 determines from the risk data that the first pregnant woman S-1 is a high-risk pregnant woman S-HR. The determination unit 42 outputs a determination result indicating that the first pregnant woman S-1 is a high-risk pregnant woman S-HR and does not satisfy the recommended condition to the reservation processing unit 43.
 予約処理部43は、判定部42からの判定結果を受けて、第1警告処理として、第1妊婦S-1に第1警告を出力する旨の第1警告指示を出力制御部45に出力する。 In response to the determination result from the determination unit 42, the reservation processing unit 43 outputs, to the output control unit 45, a first warning instruction to output a first warning to the first pregnant woman S-1 as a first warning process. .
 出力制御部45は、第1妊婦S-1の対象者ID「S001」に対応する第1アドレスである「XXX01」を第1アドレスデータテーブル35から読み出す。そして、読み出した第1アドレス(第1妊婦S-1の対象者端末15)に第1警告通知画面60を出力する。 The output control unit 45 reads “XXX01” that is the first address corresponding to the subject ID “S001” of the first pregnant woman S-1 from the first address data table 35. Then, the first warning notification screen 60 is output to the read first address (target terminal 15 of the first pregnant woman S-1).
 図15に示す表48は、図10~図14に示す予約処理部43の各処理をまとめたものである。すなわち、欄C1および欄C4に示すように、判定部42で推奨条件が満たされたと判定された場合は、低リスク妊婦S-LR、高リスク妊婦S-HRに関わらず、予約確定処理が行われる(図10および図11参照)。また、欄C2に示すように、判定部42で低リスク妊婦S-LRと判定され、かつ最低条件が満たされたと判定された場合も、予約確定処理が行われる(図12参照)。 The table 48 shown in FIG. 15 summarizes each process of the reservation processing unit 43 shown in FIGS. That is, as shown in columns C1 and C4, when the determination unit 42 determines that the recommended condition is satisfied, the reservation confirmation process is performed regardless of the low-risk pregnant woman S-LR and the high-risk pregnant woman S-HR. (See FIGS. 10 and 11). In addition, as shown in the column C2, when the determination unit 42 determines that the low-risk pregnant S-LR is determined and the minimum condition is satisfied, the reservation determination process is performed (see FIG. 12).
 欄C3に示すように、判定部42で低リスク妊婦S-LRと判定され、かつ最低条件が満たされていないと判定された場合は、予約破棄処理が行われる(図13参照)。一方、欄C5および欄C6に示すように、判定部42で高リスク妊婦S-HRと判定され、かつ推奨条件が満たされていないと判定された場合は、第1警告処理が行われる(図14参照)。このように、妊婦Sが高リスク妊婦S-HRであるか低リスク妊婦S-LRであるか、推奨条件が満たされているか否か、および最低条件が満たされているか否かで、予約処理部43が行う処理が分かれる。 As shown in column C3, when the determination unit 42 determines that the risk is a low-risk pregnant woman S-LR and it is determined that the minimum condition is not satisfied, reservation cancellation processing is performed (see FIG. 13). On the other hand, as shown in the column C5 and the column C6, when the determination unit 42 determines that the woman is a high-risk pregnant woman S-HR and the recommended condition is not satisfied, the first warning process is performed (FIG. 14). In this way, the reservation processing is performed depending on whether the pregnant woman S is a high-risk pregnant woman S-HR or a low-risk pregnant woman S-LR, whether the recommended condition is satisfied, and whether the minimum condition is satisfied. The processing performed by the unit 43 is divided.
 図16において、出力制御部45から対象者端末15に配信される予約確定通知画面50には、仮予約が確定した旨を妊婦Sに報せるメッセージ等とともに、確定された診療時刻を記した枠51と確認ボタン52とが表示される。図16では、図10に示す第1妊婦S-1の場合の予約確定通知画面50を例示している。 In FIG. 16, the reservation confirmation notification screen 50 delivered from the output control unit 45 to the subject terminal 15 includes a message that informs the pregnant woman S that the provisional reservation has been confirmed, and a frame that describes the confirmed medical treatment time. 51 and a confirmation button 52 are displayed. FIG. 16 illustrates a reservation confirmation notification screen 50 in the case of the first pregnant woman S-1 shown in FIG.
 図17において、予約破棄通知画面55には、最低条件が満たされていないため、仮予約を破棄した旨を妊婦Sに報せるメッセージ、仮予約のし直しを促すメッセージ、および確認ボタン56が表示される。図17では、図13に示す第2妊婦S-2の場合の予約破棄通知画面55を例示している。 In FIG. 17, the reservation cancellation notification screen 55 displays a message that informs the pregnant woman S that the temporary reservation has been canceled because the minimum condition is not satisfied, a message that prompts the user to cancel the temporary reservation, and a confirmation button 56. Is done. FIG. 17 shows an example of the reservation cancellation notification screen 55 for the second pregnant woman S-2 shown in FIG.
 図18において、第1警告通知画面60には、推奨条件が満たされていない旨を妊婦Sに報せるメッセージ、直ちに来院して診療を受けるよう促すメッセージ、すなわち第1警告、および確認ボタン61が表示される。図18では、図14に示す第1妊婦S-1の場合の第1警告通知画面60を例示している。なお、各画面50、55、60は、確認ボタン52、56、61が操作されると、表示が消える。 In FIG. 18, the first warning notification screen 60 includes a message that informs the pregnant woman S that the recommended condition is not satisfied, a message that promptly visits the hospital and receives medical care, that is, a first warning and a confirmation button 61. Is displayed. FIG. 18 illustrates the first warning notification screen 60 in the case of the first pregnant woman S-1 shown in FIG. The screens 50, 55, and 60 disappear when the confirmation buttons 52, 56, and 61 are operated.
 対象者端末15は、各画面50、55、60のURLを受信した場合に、特定の通知音が鳴る、あるいはバイブレーション機能がオンになる設定となっている。また、対象者端末15は、所定時間後に通知音が鳴り止む、あるいは所定時間後にバイブレーション機能がオフになる設定となっている。なお、URLのリンクを開く操作をしないと、あるいは確認ボタン52、56、61を操作して各画面50、55、60の表示を消さないと、通知音が鳴り止まない、あるいはバイブレーション機能がオフにならない設定としてもよい。 When the URL of each screen 50, 55, 60 is received, the target person terminal 15 is set to sound a specific notification sound or turn on the vibration function. Further, the target person terminal 15 is set to stop the notification sound after a predetermined time or to turn off the vibration function after the predetermined time. Note that if you do not open the URL link or operate the confirmation buttons 52, 56, 61 to turn off the screens 50, 55, 60, the notification sound does not stop or the vibration function is turned off. It is good also as a setting which does not become.
 以下、上記構成による作用について、図19~図21のフローチャートを参照して説明する。まず、妊婦Sの診療終了後、医療スタッフがスタッフ端末17を操作して、次の診療日および診療時刻を設定する仮予約を行う。これによりスタッフ端末17から送信された仮予約データが、仮予約受付部40で受け付けられる(図19のステップST100、仮予約受付ステップ)。仮予約データはデータ管理部44に出力され、データ管理部44によって予約データテーブル32に登録される(ステップST110)。 Hereinafter, the operation of the above configuration will be described with reference to the flowcharts of FIGS. First, after the medical treatment of the pregnant woman S is completed, the medical staff operates the staff terminal 17 to make a temporary reservation for setting the next medical treatment date and medical treatment time. Thereby, the temporary reservation data transmitted from the staff terminal 17 is received by the temporary reservation receiving unit 40 (step ST100 in FIG. 19, temporary reservation receiving step). The temporary reservation data is output to the data management unit 44 and registered in the reservation data table 32 by the data management unit 44 (step ST110).
 妊婦Sは、自宅14にて、生体センサ11を使用して生体情報を測定する。生体センサ11から出力された生体情報の測定データは、対象者端末15およびネットワーク16を介して診療予約管理サーバ12に送信される。診療予約管理サーバ12では、生体情報の測定データが測定データ受付部41で受け付けられる(図20のステップST200、測定データ受付ステップ)。測定データはデータ管理部44に出力され、データ管理部44によって測定データテーブル31に登録される(ステップST210)。 The pregnant woman S measures the biological information using the biological sensor 11 at home 14. The measurement data of the biometric information output from the biometric sensor 11 is transmitted to the medical treatment appointment management server 12 via the target person terminal 15 and the network 16. In the medical appointment management server 12, the measurement data reception unit 41 receives the measurement data of the biological information (step ST200 in FIG. 20, measurement data reception step). The measurement data is output to the data management unit 44 and registered in the measurement data table 31 by the data management unit 44 (step ST210).
 本予約のタイムリミットとなった時点で、データ管理部44から判定部42に測定データが受け渡される。判定部42では、測定データに基づいて、推奨条件が満たされたか否か(図21のステップST300、推奨条件判定ステップ)、最低条件が満たされたか否か(ステップST320、最低条件判定ステップ)が判定される。また、判定部42では、リスクデータテーブル34に基づいて、妊婦Sが高リスク妊婦S-HRであるか、低リスク妊婦S-LRであるか(ステップST310、対象者判定ステップ)が判定される。 Measured data is transferred from the data management unit 44 to the determination unit 42 when the time limit of the reservation is reached. Based on the measurement data, the determination unit 42 determines whether the recommended condition is satisfied (step ST300 in FIG. 21, recommended condition determination step) and whether the minimum condition is satisfied (step ST320, minimum condition determination step). Determined. The determination unit 42 determines whether the pregnant woman S is a high-risk pregnant woman S-HR or a low-risk pregnant woman S-LR based on the risk data table 34 (step ST310, subject determination step). .
 判定部42で推奨条件が満たされていると判定された場合(ステップST300でYES)、図10および図11、並びに図15の表48の欄C1、C4で示したように、予約処理部43で予約確定処理が行われる(ステップST330、予約処理ステップ)。具体的には、予約確定指示がデータ管理部44および出力制御部45に出力される。 When the determination unit 42 determines that the recommended condition is satisfied (YES in step ST300), the reservation processing unit 43 as shown in FIGS. 10 and 11 and columns C1 and C4 of Table 48 in FIG. In step ST330, a reservation processing step is performed. Specifically, a reservation confirmation instruction is output to the data management unit 44 and the output control unit 45.
 予約確定指示に応じて、データ管理部44により予約データテーブル32の該当する仮予約データの確定フラグの欄に1が登録され、対象者IDの書き換えが禁止される(ステップST340)。また、出力制御部45により予約確定通知画面50が対象者端末15に配信される(ステップST350、出力制御ステップ)。 In response to the reservation confirmation instruction, 1 is registered in the confirmation flag column of the corresponding provisional reservation data in the reservation data table 32 by the data management unit 44, and rewriting of the target person ID is prohibited (step ST340). Further, the reservation confirmation notification screen 50 is delivered to the target person terminal 15 by the output control unit 45 (step ST350, output control step).
 対象者端末15では、予約確定通知画面50が表示される。妊婦Sは、予約確定通知画面50を通じて仮予約が確定したことを認識する。 In the target person terminal 15, a reservation confirmation notification screen 50 is displayed. The pregnant woman S recognizes that the provisional reservation has been confirmed through the reservation confirmation notification screen 50.
 一方、判定部42で推奨条件が満たされていないと判定され(ステップST300でNO)、かつ妊婦Sが低リスク妊婦S-LRと判定された場合(ステップST310でYES)は、ステップST320の最低条件判定ステップの結果に応じた処理が行われる。 On the other hand, when it is determined by the determination unit 42 that the recommended condition is not satisfied (NO in step ST300) and the pregnant woman S is determined to be a low-risk pregnant woman S-LR (YES in step ST310), the lowest value in step ST320 Processing according to the result of the condition determination step is performed.
 判定部42で低リスク妊婦S-LRと判定され(ステップS310でYES)、かつ最低条件が満たされていると判定された場合(ステップST320でYES)、図12と図15の表48の欄C2で示したように、判定部42で推奨条件が満たされていると判定された場合(ステップST300でYES)と同じく、予約処理部43で予約確定処理が行われる(ステップST330、予約処理ステップ)。以降の処理は、判定部42で推奨条件が満たされていると判定された場合(ステップST300でYES)と同じであるため、説明を省略する。 When it is determined by the determination unit 42 to be a low-risk pregnant woman S-LR (YES in step S310) and it is determined that the minimum condition is satisfied (YES in step ST320), the column of Table 48 in FIG. 12 and FIG. As indicated by C2, as in the case where the determination unit 42 determines that the recommended condition is satisfied (YES in step ST300), the reservation processing unit 43 performs a reservation confirmation process (step ST330, reservation processing step). ). The subsequent processing is the same as when the determination unit 42 determines that the recommended condition is satisfied (YES in step ST300), and thus description thereof is omitted.
 このように、判定部42で推奨条件が満たされていると判定した場合、および判定部42で低リスク妊婦S-LRと判定し、かつ最低条件が満たされていると判定した場合にも、予約処理部43で予約確定処理を行うので、低リスク妊婦S-LRは、推奨条件が満たされていなくても、最低条件が満たされてさえいれば、仮予約で設定された診療時刻に診療を受けることができる。また、医療施設13にとっても、仮予約で確保した診療予約の枠が無駄にならない。したがって、妊婦Sおよび医療施設13の双方が、診療予約において不利益を蒙ることを防ぐことが可能となる。 As described above, when the determination unit 42 determines that the recommended condition is satisfied, and when the determination unit 42 determines that the low-risk pregnant woman S-LR is satisfied and the minimum condition is satisfied, Since the reservation processing unit 43 performs the reservation confirmation process, the low-risk pregnant woman S-LR does not meet the recommended conditions, but only meets the minimum conditions as long as the minimum conditions are met. Can receive. In addition, for the medical facility 13, the medical reservation frame secured by the temporary reservation is not wasted. Therefore, it is possible to prevent both the pregnant woman S and the medical facility 13 from being disadvantaged in the medical appointment.
 特許文献1では、最新の生体情報が測定されていなかった場合は、高リスク妊婦S-HRであるか、低リスク妊婦S-LRであるかに関係なく優先度が低い値とされて診療の順番が後回しにされてしまう。対して、本発明では、推奨条件と最低条件の二つの測定条件を用意し、判定部42で推奨条件が満たされているか否かと、最低条件が満たされているか否かを二段階で判定している。そして、推奨条件が満たされている場合はもちろんのこと、低リスク妊婦S-LRの場合は最低条件が満たされていれば仮予約通りに診療を受けることができる。 In Patent Document 1, when the latest biometric information has not been measured, the priority is set to a low value regardless of whether it is a high-risk pregnant woman S-HR or a low-risk pregnant woman S-LR. The order will be delayed. On the other hand, in the present invention, two measurement conditions, a recommended condition and a minimum condition, are prepared, and the determination unit 42 determines whether the recommended condition is satisfied and whether the minimum condition is satisfied in two stages. ing. In addition, in the case of a low-risk pregnant S-LR, it is possible to receive medical care as tentatively reserved if the recommended conditions are satisfied, and if the minimum conditions are satisfied.
 一方、判定部42で低リスク妊婦S-LRと判定され(ステップS310でYES)、かつ最低条件が満たされていないと判定された場合(ステップST320でNO)は、図13と図15の表48の欄C3で示したように、予約処理部43で予約破棄処理が行われる(ステップST360)。具体的には、予約破棄指示がデータ管理部44および出力制御部45に出力される。 On the other hand, when the determination unit 42 determines that the low-risk pregnant woman is S-LR (YES in step S310) and it is determined that the minimum condition is not satisfied (NO in step ST320), the tables in FIG. 13 and FIG. As shown in the column C3 of 48, the reservation discarding process is performed in the reservation processing unit 43 (step ST360). Specifically, a reservation discard instruction is output to the data management unit 44 and the output control unit 45.
 予約破棄指示に応じて、データ管理部44により予約データテーブル32の該当する仮予約データの対象者IDが削除される(ステップST370)。また、出力制御部45により予約破棄通知画面55が対象者端末15に配信される(ステップST380)。 In response to the reservation discard instruction, the data management unit 44 deletes the target person ID of the corresponding provisional reservation data in the reservation data table 32 (step ST370). Further, the reservation discard notification screen 55 is distributed to the target person terminal 15 by the output control unit 45 (step ST380).
 対象者端末15では、予約破棄通知画面55が表示される。妊婦Sは、予約破棄通知画面55を通じて仮予約が破棄されたことを認識する。 In the target person terminal 15, a reservation cancellation notification screen 55 is displayed. The pregnant woman S recognizes that the temporary reservation has been canceled through the reservation cancellation notification screen 55.
 最低条件の測定を行っていない低リスク妊婦S-LRは、診療に支障があるため、もしも仮予約を確定してしまうと、診療前に医療施設13で生体情報を測定する必要がある。また、生体情報を測定する分、診療の開始時刻が遅れるため、その後の診療予約を調整する必要がある。このため、判定部42で低リスク妊婦S-LRと判定され、かつ最低条件が満たされていないと判定した場合は、止むを得ず予約処理部43で予約破棄処理を行っている。こうすることで診療予約の枠は無駄にはなるが、上記のように医療施設13で生体情報を測定する手間や、診療予約を調整する手間が掛からないというメリットがある。また、こうすれば、最低条件の測定を行っていない低リスク妊婦S-LRを、推奨条件を満たす測定を遵守している妊婦Sよりも先に診療してしまうといった不公平な扱いが生じない。 The low-risk pregnant S-LR who has not performed the measurement of the minimum condition has a problem in medical treatment. Therefore, if a temporary reservation is confirmed, it is necessary to measure biological information at the medical facility 13 before the medical treatment. In addition, since the start time of medical treatment is delayed by the amount of measurement of biometric information, it is necessary to adjust subsequent medical appointments. For this reason, if it is determined that the determination unit 42 is a low-risk pregnant S-LR and the minimum condition is not satisfied, the reservation processing unit 43 inevitably performs the reservation discarding process. By doing so, the frame of the medical appointment is wasted, but there is an advantage that it does not take the trouble of measuring the biological information at the medical facility 13 and adjusting the medical appointment as described above. This also prevents the unfair treatment that a low-risk pregnant woman S-LR that has not performed the minimum measurement is treated before the pregnant woman S that complies with the measurement that satisfies the recommended conditions. .
 判定部42で推奨条件が満たされていないと判定され(ステップST300でNO)、かつ妊婦Sが高リスク妊婦S-HRと判定された場合(ステップST310でNO)は、図14と図15の表48の欄C5、C6で示したように、予約処理部43で第1警告処理が行われる(ステップST390)。具体的には、第1警告指示が出力制御部45に出力される。 When the determination unit 42 determines that the recommended condition is not satisfied (NO in step ST300), and the pregnant woman S is determined to be a high-risk pregnant woman S-HR (NO in step ST310), FIG. 14 and FIG. As shown in columns C5 and C6 of Table 48, the first warning process is performed by the reservation processing unit 43 (step ST390). Specifically, the first warning instruction is output to the output control unit 45.
 第1警告指示に応じて、出力制御部45により第1警告通知画面60が対象者端末15に配信される(ステップST400)。 In response to the first warning instruction, the output control unit 45 distributes the first warning notification screen 60 to the target person terminal 15 (step ST400).
 対象者端末15では、第1警告通知画面60が表示される。妊婦Sは、第1警告通知画面60を通じて通院しなければならないことを認識する。 In the target person terminal 15, the first warning notification screen 60 is displayed. The pregnant woman S recognizes that she must go to the hospital through the first warning notification screen 60.
 このように、判定部42で高リスク妊婦S-HRと判定し、かつ推奨条件が満たされていないと判定した場合、予約処理部43で第1警告処理を行うので、高リスク妊婦S-HRが来院して診療を受けることが期待でき、高リスク妊婦S-HRの症状の重篤化を効果的に避けることができる。 As described above, when the determination unit 42 determines that the risk is high-risk pregnant S-HR and the recommended condition is not satisfied, the reservation processing unit 43 performs the first warning process. Can be expected to visit and receive medical care, and can effectively avoid the seriousness of high-risk pregnant S-HR symptoms.
 妊婦Sは、普段から、胎児に悪影響を与える感染症(風疹、インフルエンザ等)に感染することがないよう努めている。このため、感染症患者が多くいる医療施設13では、妊婦Sの滞在時間はなるべく短いことが好ましい。 Pregnant woman S always strives not to be infected with infectious diseases (rubella, influenza, etc.) that adversely affect the fetus. For this reason, in the medical facility 13 with many infectious disease patients, it is preferable that the staying time of the pregnant woman S is as short as possible.
 本発明においては、妊婦Sは、推奨条件の測定を行って仮予約を確定、あるいは少なくとも最低条件の測定を行って仮予約を確定(低リスク妊婦S-LRの場合)させ、確定された診療時刻に医療施設13に来院すれば、余計な待ち時間なくスムーズに診療を受けることができる。このため、妊婦Sの医療施設13の滞在時間を短くすることができ、妊婦Sの感染症への罹患リスクを下げることができる。したがって、特に比較的長い測定時間を必要とするCTGを測定する妊婦Sを対象者とした場合は、特に優れた効果を奏するといえる。 In the present invention, the pregnant woman S measures the recommended conditions and confirms the provisional appointment, or at least measures the minimum conditions and confirms the provisional appointment (in the case of a low-risk pregnant woman S-LR), If you visit the medical facility 13 at the time, you can receive medical care smoothly without any extra waiting time. For this reason, the residence time of the pregnant woman S at the medical facility 13 can be shortened, and the risk of suffering from the infection of the pregnant woman S can be reduced. Therefore, it can be said that particularly excellent effects can be obtained when the target is a pregnant woman S who measures CTG, which requires a relatively long measurement time.
 高リスク妊婦S-HRは、低リスク妊婦S-LRよりも、健康状態について特に留意する必要がある。このため、推奨条件は、仮予約した診療日当日のCTGの測定データに加えて他の測定項目の測定データが得られていることで満たされる設定とされ、仮予約した診療日当日と、仮予約した診療日当日より前の所定期間(ここでは仮予約した診療日前日の06:00~仮予約した診療時刻の1時間前)のCTGの測定データが得られていることで満たされる最低条件よりも厳しい測定条件とされる。 高 High-risk pregnant S-HR needs to pay more attention to health than low-risk pregnant S-LR. For this reason, the recommended condition is satisfied by the fact that the measurement data of other measurement items is obtained in addition to the CTG measurement data on the provisional appointment date, and the provisional appointment date, provisional appointment date, Minimum condition that is met by obtaining CTG measurement data for a predetermined period before the appointment date (here, from 06:00 on the day before the tentative appointment date to 1 hour before the tentative appointment date) The measurement conditions are more severe.
 推奨条件および最低条件は、図6で例示したものに限らない。例えば最低条件の測定項目をCTGおよび血圧としてもよいし、最低条件のCTG測定期間を、仮予約した診療日の1週間前~仮予約した診療時刻の2時間前としてもよい。このように、CTG測定期間の終了時刻は、図6で例示した本予約のタイムリミットと同じ時刻でなくてもよい。 * Recommended conditions and minimum conditions are not limited to those illustrated in FIG. For example, CTG and blood pressure may be used as the measurement items of the lowest condition, and the CTG measurement period of the lowest condition may be set from one week before the provisional appointment to two hours before the provisional appointment. As described above, the end time of the CTG measurement period may not be the same time as the time limit of the main reservation illustrated in FIG.
 要するに、推奨条件は、仮予約した診療日当日のCTGの測定データが得られているか否かを含み、最低条件は、仮予約した診療日当日と、仮予約した診療日当日より前の所定期間のCTGの測定データが得られているか否かを含んでいればよい。また、推奨条件は、CTGに加えて他の測定項目の測定データが得られているか否かを含み、最低条件は、少なくともCTGの測定データが得られているか否かを含んでいればよい。 In short, the recommended conditions include whether or not CTG measurement data on the tentative appointment date is available, and the minimum conditions are the tentative appointment date and the predetermined period before the tentative appointment date. It is only necessary to include whether or not CTG measurement data is obtained. The recommended condition includes whether or not measurement data of other measurement items is obtained in addition to CTG, and the minimum condition may include at least whether or not measurement data of CTG is obtained.
 各条件の測定項目をCTGのみで同じとし、CTG測定期間を各条件で違えてもよい。例えば推奨条件のCTG測定期間を仮予約した診療日当日の06:00~仮予約した診療時刻の1時間前とし、最低条件のCTG測定期間を仮予約した診療日3日前の06:00~仮予約した診療時刻の1時間前として、各条件とも測定項目はCTGのみとする。 The measurement items for each condition may be the same for only CTG, and the CTG measurement period may be different for each condition. For example, the recommended CTG measurement period is set from 06:00 on the day of provisional appointment to 1 hour before the provisional appointment, and the minimum condition CTG measurement period is set to 06:00 to provisional three days before the provisional appointment. One hour before the reserved medical treatment time, the measurement item is CTG only for each condition.
 各画面50、55、60の配信先は妊婦Sの対象者端末15に限らない。妊婦Sと同居している家族等、妊婦Sの関係者が所有する端末であってもよい。 The delivery destination of each screen 50, 55, 60 is not limited to the target terminal 15 of the pregnant woman S. A terminal owned by a person concerned with the pregnant woman S such as a family living with the pregnant woman S may be used.
 [第2実施形態]
 上記第1実施形態では、判定部42で高リスク妊婦S-HRと判定し、かつ推奨条件が満たされていないと判定した場合、第1警告を出力しているが、図22~図24に示す第2実施形態では、判定部42で高リスク妊婦S-HRと判定し、かつ推奨条件が満たされていないと判定した場合、高リスク妊婦S-HRが推奨条件を満たしていない旨の第2警告を出力する。
[Second Embodiment]
In the first embodiment, when the determination unit 42 determines that the risk is high-risk pregnant S-HR and the recommended condition is not satisfied, the first warning is output. In the second embodiment shown, the determination unit 42 determines that the high-risk pregnant woman S-HR does not satisfy the recommended condition when it is determined that the high-risk pregnant woman S-HR does not satisfy the recommended condition. 2 Outputs a warning.
 図22において、第2実施形態の診療予約管理サーバ12のストレージデバイス20には、第2アドレスデータテーブル63が記憶されている。第2アドレスデータテーブル63は、各データテーブル31~35と同じく、データ管理部44により管理される。 22, a second address data table 63 is stored in the storage device 20 of the medical appointment management server 12 of the second embodiment. The second address data table 63 is managed by the data management unit 44, like the data tables 31 to 35.
 第2アドレスデータテーブル63は、高リスク妊婦S-HRの対象者ID毎に第2アドレスを登録したものである。第2アドレスは、高リスク妊婦S-HRが推奨条件を満たしていない旨の第2警告の出力先である。第2アドレスは、例えば、高リスク妊婦S-HRの担当医師Dや担当看護師Nといった医療スタッフがスタッフ端末17で閲覧可能な電子メールのアドレスや、SNS(Social Networking Service)が提供するメッセージサービスの医療スタッフのID、あるいは電話番号である。第2アドレスは、医療スタッフにより予め登録される。 The second address data table 63 is a table in which a second address is registered for each subject ID of the high-risk pregnant S-HR. The second address is the output destination of the second warning that the high-risk pregnant S-HR does not satisfy the recommended condition. The second address is, for example, an e-mail address that can be viewed on the staff terminal 17 by medical staff such as the doctor D in charge of the high-risk pregnant woman S-HR and the nurse N in charge, or a message service provided by SNS (Social Networking Service) ID or telephone number of the medical staff. The second address is registered in advance by the medical staff.
 第2アドレスデータテーブル63には、高リスク妊婦S-HRの対象者ID(「S001」、「S003」等)の欄のみに第2アドレスが登録されている。低リスク妊婦S-LRの対象者ID(「S002」等)の欄には、第2アドレスは登録されていない。 In the second address data table 63, the second address is registered only in the column of the subject ID (“S001”, “S003”, etc.) of the high-risk pregnant woman S-HR. The second address is not registered in the target person ID (“S002”, etc.) column of the low-risk pregnant S-LR.
 図23に示すように、第2実施形態においては、判定部42で高リスク妊婦S-HRと判定し、かつ推奨条件が満たされていないと判定した場合、予約処理部43は、診療予約に関する処理として、第2警告処理を行う。第2警告処理は、第2警告の出力を指示する旨の第2警告指示を出力制御部45に出力する処理である。 As shown in FIG. 23, in the second embodiment, when the determination unit 42 determines that a high-risk pregnant woman S-HR and the recommended condition is not satisfied, the reservation processing unit 43 As a process, a second warning process is performed. The second warning process is a process of outputting to the output control unit 45 a second warning instruction for instructing the output of the second warning.
 図23は、上記第1実施形態の図14と同じく第1妊婦S-1の場合を示す。予約処理部43は、第1妊婦S-1の担当の医療スタッフに第2警告を出力する旨の第2警告指示を出力制御部45に出力する。 FIG. 23 shows the case of the first pregnant woman S-1 as in FIG. 14 of the first embodiment. The reservation processing unit 43 outputs a second warning instruction to the output control unit 45 to output a second warning to the medical staff in charge of the first pregnant woman S-1.
 出力制御部45は、第1妊婦S-1の対象者ID「S001」に対応する第2アドレスである「YYY01」を第2アドレスデータテーブル63から読み出す。そして、読み出した第2アドレスに第2警告を出力する。 The output control unit 45 reads “YYY01”, which is the second address corresponding to the subject ID “S001” of the first pregnant woman S-1, from the second address data table 63. Then, a second warning is output to the read second address.
 出力制御部45は、第2警告の出力の一形態として、図24に示す第2警告通知画面65をスタッフ端末17に配信する。第2警告通知画面65には、医療スタッフの担当の高リスク妊婦S-HRが、推奨条件を満たしていない旨のメッセージ、すなわち第2警告と、高リスク妊婦S-HRに推奨条件の測定を促すか、高リスク妊婦S-HRに直ちに診療を受けさせる働きかけをするよう医療スタッフに促すメッセージと、妊婦Sと連絡をとるための電話番号とが書かれている。確認ボタン66は、第2警告通知画面65の表示を消すためのボタンである。図24では、図23に引き続き、第1妊婦S-1の場合を例示している。なお、この場合も上記第1実施形態の各画面50、55、60の場合と同じく、出力制御部45は、第2警告通知画面65の配信に先立って、第2警告通知画面65のURLをスタッフ端末17に送信し、URLのリンクを開く操作に応じて第2警告通知画面65を配信する。以降の実施形態の各画面も同様である。 The output control unit 45 distributes the second warning notification screen 65 shown in FIG. 24 to the staff terminal 17 as one form of output of the second warning. On the second warning notification screen 65, a message indicating that the high-risk pregnant S-HR in charge of the medical staff does not satisfy the recommended conditions, that is, the second warning and the measurement of the recommended conditions for the high-risk pregnant S-HR are performed. A message prompting the medical staff to urge or prompt the high-risk pregnant S-HR to receive medical care and a telephone number for contacting the pregnant S are written. The confirmation button 66 is a button for erasing the display of the second warning notification screen 65. FIG. 24 illustrates the case of the first pregnant woman S-1 following FIG. In this case as well, as in the case of the screens 50, 55, 60 of the first embodiment, the output control unit 45 sets the URL of the second warning notification screen 65 prior to the distribution of the second warning notification screen 65. The second warning notification screen 65 is distributed in response to the operation of transmitting to the staff terminal 17 and opening the URL link. The same applies to each screen in the following embodiments.
 このように、判定部42で高リスク妊婦S-HRと判定し、かつ推奨条件が満たされていないと判定した場合、高リスク妊婦S-HRが推奨条件を満たしていない旨の第2警告を第2アドレスに出力するので、高リスク妊婦S-HRに対して適切な処置を施す契機が医療スタッフに与えられる。したがって、高リスク妊婦S-HRの症状の重篤化を効果的に避けることができる。 As described above, when the determination unit 42 determines that the risk is high risk pregnant woman S-HR and the recommended condition is not satisfied, the second warning that the high risk pregnant woman S-HR does not satisfy the recommended condition is issued. Since the data is output to the second address, the medical staff is given an opportunity to take appropriate measures for the high-risk pregnant S-HR. Therefore, the seriousness of symptoms of high-risk pregnant S-HR can be effectively avoided.
 上記第1実施形態の第1警告と、上記第2実施形態の第2警告とを複合して実施してもよい。そうすれば、高リスク妊婦S-HR自身に向けた第1警告と、高リスク妊婦S-HRの担当の医療スタッフに向けた第2警告とで、高リスク妊婦S-HRの通院を強く促すことができるため、高リスク妊婦S-HRの症状の重篤化をより効果的に避けることができる。 The first warning in the first embodiment may be combined with the second warning in the second embodiment. Then, the first warning for the high-risk pregnant S-HR itself and the second warning for the medical staff in charge of the high-risk pregnant S-HR strongly encourage the high-risk pregnant S-HR to go to the hospital. Therefore, serious symptoms of high-risk pregnant S-HR can be more effectively avoided.
 なお、上記第1実施形態の各画面50、55、60と同様に、妊婦Sの関係者が所有する端末に第2警告通知画面65を配信してもよい。この場合の妊婦Sの関係者としては、妊婦Sと同居している家族、あるいは医療施設13と提携している妊婦Sの近所の助産師等が挙げられる。 Note that the second warning notification screen 65 may be distributed to a terminal owned by a related person of the pregnant woman S, similarly to the screens 50, 55, 60 of the first embodiment. In this case, the pregnant woman S may be a family living with the pregnant woman S or a midwife in the neighborhood of the pregnant woman S who is affiliated with the medical facility 13.
 [第3実施形態]
 判定部42で高リスク妊婦S-HRと判定し、かつ推奨条件が満たされていないと判定した場合は、図25~図28に示す第3実施形態のように、診療予約に関する処理として、高リスク妊婦S-HRの仮予約をし直す処理を行い、仮予約をし直した旨の第3警告を第3アドレスに出力してもよい。
[Third Embodiment]
When the determination unit 42 determines that the S-HR is a high-risk pregnant woman and the recommended condition is not satisfied, as in the third embodiment shown in FIGS. Processing for re-provisioning the risk pregnant S-HR may be performed, and a third warning indicating that the pre-reservation has been made may be output to the third address.
 第3警告の出力先である第3アドレスは、上記第1実施形態の図8に示す第1アドレスデータテーブル35の第1アドレスと同じである。このため以下では、第1アドレスデータテーブル35を第3アドレスデータテーブル35、第1アドレスを第3アドレスと言い換えて説明する。 The third address which is the output destination of the third warning is the same as the first address of the first address data table 35 shown in FIG. 8 of the first embodiment. Therefore, in the following description, the first address data table 35 is referred to as the third address data table 35, and the first address is referred to as the third address.
 図25~図27に示すように、第3実施形態においては、判定部42で高リスク妊婦S-HRと判定し、かつ推奨条件が満たされていないと判定した場合、予約処理部43は、判定前の高リスク妊婦S-HRの仮予約を破棄する予約破棄指示を、データ管理部44および出力制御部45に出力する。同時に、予約処理部43は、診療予約に関する処理として、仮予約処理を行う。仮予約処理は、予約破棄指示で破棄した高リスク妊婦S-HRの仮予約をし直す旨の仮予約指示を、データ管理部44および出力制御部45に出力する処理である。 As shown in FIGS. 25 to 27, in the third embodiment, when the determination unit 42 determines that the high-risk pregnant S-HR and the recommended condition is not satisfied, the reservation processing unit 43 A reservation cancellation instruction for canceling the temporary reservation of the high-risk pregnant S-HR before the determination is output to the data management unit 44 and the output control unit 45. At the same time, the reservation processing unit 43 performs temporary reservation processing as processing related to medical reservation. The temporary reservation process is a process of outputting a temporary reservation instruction to the data management unit 44 and the output control unit 45 to re-provision a temporary reservation of the high-risk pregnant woman S-HR that has been canceled by the reservation cancellation instruction.
 具体的には、予約処理部43は、予約データテーブル32から、先約がない診療時刻のうちで最も早い診療時刻を抽出する。そして、抽出した診療時刻を、高リスク妊婦S-HRの新たな仮予約の診療時刻として自動設定する。仮予約指示には、この自動設定した診療時刻と、高リスク妊婦S-HRの対象者IDとが含まれる。 Specifically, the reservation processing unit 43 extracts the earliest medical time from the medical data without any predecessors from the reservation data table 32. Then, the extracted medical treatment time is automatically set as a new temporary medical treatment time for the high-risk pregnant S-HR. The provisional reservation instruction includes the automatically set medical time and the subject ID of the high-risk pregnant woman S-HR.
 データ管理部44は、予約処理部43からの予約破棄指示を受けて、予約データテーブル32の診療時刻の欄から、高リスク妊婦S-HRの対象者IDを削除する。そして、予約処理部43からの仮予約指示で指示された診療時刻の欄に、高リスク妊婦S-HRの対象者IDを登録し直す。 In response to the reservation discard instruction from the reservation processing unit 43, the data management unit 44 deletes the subject ID of the high-risk pregnant S-HR from the column of the medical treatment time in the reservation data table 32. Then, the subject ID of the high-risk pregnant woman S-HR is re-registered in the column of the medical treatment time designated by the provisional reservation instruction from the reservation processing unit 43.
 さらに、予約処理部43は、診療予約に関する処理として、第3警告処理を行う。第3警告処理は、仮予約をし直した旨の第3警告の出力を指示する旨の第3警告指示を出力制御部45に出力する処理である。 Furthermore, the reservation processing unit 43 performs a third warning process as a process related to a medical appointment. The third warning process is a process of outputting a third warning instruction to the output control unit 45 to instruct the output of the third warning to the effect that the temporary reservation has been made again.
 図25~図27は、上記第1実施形態の図14および上記第2実施形態の図23と同じく第1妊婦S-1の場合を示す。図26において、予約処理部43は、第1妊婦S-1の2016/8/24の09:00~09:15の仮予約を破棄する旨の予約破棄指示と、先約がない診療時刻のうちで最も早い診療時刻である2016/8/24の09:45~10:00に第1妊婦S-1の仮予約をし直す旨の仮予約指示とを、データ管理部44および出力制御部45に出力する。 25 to 27 show the case of the first pregnant woman S-1 as in FIG. 14 of the first embodiment and FIG. 23 of the second embodiment. In FIG. 26, the reservation processing unit 43 receives a reservation cancellation instruction for canceling a temporary reservation from 09:00:00 to 09:15 of the first pregnant woman S-1 of 2016/8/24 and The data management unit 44 and the output control unit provide a temporary reservation instruction for re-booking the first pregnant woman S-1 from 09:45 to 10:00 on 2016/8/24, which is the earliest medical treatment time. Output to 45.
 データ管理部44は、2016/8/24の予約データテーブル32の09:00~09:15の欄に登録された、第1妊婦S-1の対象者ID「S001」を削除する。そして、09:45~10:00の欄に、第1妊婦S-1の対象者ID「S001」を登録する。 The data management unit 44 deletes the subject ID “S001” of the first pregnant woman S-1 registered in the column of 09:00 to 09:15 of the reserved data table 32 of 2016/8/24. Then, the subject ID “S001” of the first pregnant woman S-1 is registered in the field of 09:45 to 10:00.
 図27において、出力制御部45は、第1妊婦S-1の対象者ID「S001」に対応する第3アドレスである「XXX01」を第3アドレスデータテーブル35から読み出す。そして、読み出した第3アドレス(第1妊婦S-1の対象者端末15)に第3警告を出力する。 27, the output control unit 45 reads “XXX01”, which is the third address corresponding to the subject ID “S001” of the first pregnant woman S-1, from the third address data table 35. Then, a third warning is output to the read third address (target terminal 15 of the first pregnant woman S-1).
 出力制御部45は、第3警告の出力の一形態として、図28に示す第3警告通知画面70を対象者端末15に出力する。第3警告通知画面70には、高リスク妊婦S-HRがタイムリミットまでに推奨条件の測定をしなかったため、元の仮予約を破棄して仮予約をし直した旨のメッセージ、すなわち第3警告と、仮予約し直した診療時刻を記した枠71と、仮予約し直した診療時刻に必ず来院して診療を受けるよう促すメッセージと、確認ボタン72とが表示される。図28では、図25~図27に引き続き、第1妊婦S-1の場合を例示している。 The output control unit 45 outputs a third warning notification screen 70 shown in FIG. 28 to the target person terminal 15 as one form of output of the third warning. On the third warning notification screen 70, a message indicating that the high-risk pregnant S-HR did not measure the recommended condition by the time limit, so that the original temporary reservation was discarded and the temporary reservation was made again, ie, the third A warning 71, a frame 71 indicating the time when the medical appointment was rebooked, a message prompting to come to the hospital at the time when the medical appointment was temporarily reserved, and a confirmation button 72 are displayed. FIG. 28 illustrates the case of the first pregnant woman S-1 following FIG. 25 to FIG.
 このように、判定部42で高リスク妊婦S-HRと判定し、かつ推奨条件が満たされていないと判定した場合、仮予約をし直す処理を行い、仮予約をし直した旨の第3警告を第3アドレスに出力するので、高リスク妊婦S-HRが推奨条件を満たしていなかった場合でも、高リスク妊婦S-HRの診療予約の枠を確保することができる。また、高リスク妊婦S-HRが仮予約し直した診療時刻に来院して診療を受けることが期待できる。したがって、高リスク妊婦S-HRの症状の重篤化を効果的に避けることができる。 As described above, when the determination unit 42 determines that the risk is a high-risk pregnant S-HR and the recommended condition is not satisfied, a process for re-provisioning the temporary reservation is performed, and a third notification indicating that the temporary reservation has been re-performed. Since the warning is output to the third address, even if the high-risk pregnant S-HR does not satisfy the recommended conditions, it is possible to secure a medical appointment frame for the high-risk pregnant S-HR. In addition, it can be expected that the high-risk pregnant S-HR will come to the clinic at the time when the appointment is re-booked. Therefore, the seriousness of symptoms of high-risk pregnant S-HR can be effectively avoided.
 なお、仮予約をし直した後は、続けて予約確定処理を行ってもよいし、仮予約をし直した診療時刻に応じたタイムリミットに、再び判定部42で推奨条件を満たしているか否かの判定を行ってもよい。後者の場合、仮予約をし直した後の再度の判定においても、推奨条件が満たされていなかった場合は、また仮予約をし直す。あるいは、判定部42で低リスク妊婦S-LRと判定され、かつ最低条件が満たされていないと判定された場合と同じく、予約破棄処理を行う。もしくは、上記第1実施形態のように第1警告処理を行ってもよいし、上記第2実施形態のように第2警告処理を行ってもよい。 In addition, after re-provisioning a temporary reservation, you may continue with a reservation decision process, and the time limit according to the medical treatment time which re-provisioned the temporary reservation is satisfied again by the determination part 42 whether the recommendation conditions are satisfied. Such a determination may be made. In the latter case, if the recommended condition is not satisfied even in the determination again after the temporary reservation is made again, the temporary reservation is made again. Alternatively, the reservation discarding process is performed as in the case where the determination unit 42 determines that the risk is a low-risk pregnant S-LR and the minimum condition is not satisfied. Alternatively, the first warning process may be performed as in the first embodiment, or the second warning process may be performed as in the second embodiment.
 また、ここでは、先約がない診療時刻のうちで最も早い診療時刻が、元の仮予約した診療日当日にある場合を例示しているが、当然、元の仮予約した診療日当日の診療予約の枠が全て埋まっていて、先約がない診療時刻のうちで最も早い診療時刻が、元の仮予約した診療日の翌日以降となる場合もあり得る。 In addition, here, the case where the earliest treatment time among the treatment times for which there is no prior appointment is on the day of the treatment date of the original tentative reservation, naturally, the treatment of the day of the treatment date of the original provisional reservation There may be a case where the earliest medical treatment time among all the medical treatment times in which all the reservation frames are filled and without any predecessor is after the day after the original provisional medical treatment date.
 なお、第3警告通知画面70の配信先も、妊婦Sの関係者が所有する端末であってもよい。 It should be noted that the delivery destination of the third warning notification screen 70 may also be a terminal owned by a related person of the pregnant woman S.
 [第4実施形態]
 図29および図30に示す第4実施形態では、妊婦Sが生体情報の測定を忘れてしまうのを防ぐために、指定時点までに生体情報の測定を終了すべき旨の第4警告を第4アドレスに出力する。
[Fourth Embodiment]
In the fourth embodiment shown in FIG. 29 and FIG. 30, in order to prevent the pregnant woman S from forgetting the measurement of the biological information, a fourth warning indicating that the measurement of the biological information should be completed by the designated time point is displayed at the fourth address. Output to.
 第4警告の出力先である第4アドレスは、上記第1実施形態の図8に示す第1アドレスデータテーブル35の第1アドレス、並びに上記第3実施形態の第3アドレスと同じである。このため以下では、第1アドレスデータテーブル35を第4アドレスデータテーブル35、第1アドレスを第4アドレスと言い換えて説明する。 The fourth address that is the output destination of the fourth warning is the same as the first address of the first address data table 35 shown in FIG. 8 of the first embodiment and the third address of the third embodiment. Therefore, in the following description, the first address data table 35 is referred to as the fourth address data table 35, and the first address is referred to as the fourth address.
 図29に示すように、出力制御部45は、予約データテーブル32に登録された対象者IDに対応する第4アドレスを第4アドレスデータテーブル35から読み出す。そして、読み出した第4アドレスに第4警告を出力する。第4警告は、予め指定された時刻、例えば診療日当日の診療開始2時間前(この場合は2016/8/24の07:00)に、生体センサ11に警告音81(図30参照)の鳴動を開始させよ、という内容である。 As shown in FIG. 29, the output control unit 45 reads the fourth address corresponding to the target person ID registered in the reservation data table 32 from the fourth address data table 35. Then, a fourth warning is output to the read fourth address. The fourth warning is a warning sound 81 (see FIG. 30) on the biosensor 11 at a predesignated time, for example, 2 hours before the start of the medical treatment on the day of the medical treatment (in this case, 07:00 of 2016/8/24). The content is to start ringing.
 図30に示すように、第4実施形態では、生体センサ11はスピーカー80を有する。また、対象者端末15は、第4警告に応じてスピーカー80の出力を制御する機能を有する。出力制御部45からの第4警告を受信した対象者端末15は、第4警告で指定された時刻に、警告音81の鳴動を開始させるための警告開始指令を生体センサ11に送信する。生体センサ11は、警告開始指令を受けて、スピーカー80から警告音81を発する。警告音81は、ビープ音等の機械的な音でもよいし、「診療日当日です。測定を行って下さい。」といったメッセージ音でもよい。 As shown in FIG. 30, in the fourth embodiment, the biosensor 11 has a speaker 80. The subject terminal 15 has a function of controlling the output of the speaker 80 in response to the fourth warning. The subject terminal 15 that has received the fourth warning from the output control unit 45 transmits a warning start command for starting ringing of the warning sound 81 to the biosensor 11 at the time designated by the fourth warning. In response to the warning start command, the biological sensor 11 emits a warning sound 81 from the speaker 80. The warning sound 81 may be a mechanical sound such as a beep sound or a message sound such as “It is the day of medical treatment.
 このように、指定時点までに生体情報の測定を終了すべき旨の第4警告を第4アドレスに出力するので、妊婦Sが生体情報の測定を忘れてしまう確率を低くすることができる。 Thus, since the fourth warning that the measurement of the biological information should be completed by the designated time point is output to the fourth address, the probability that the pregnant woman S forgets the measurement of the biological information can be reduced.
 また、生体センサ11のスピーカー80から警告音81を発する、すなわち第4警告を生体センサ11で表示するので、より妊婦Sが生体情報の測定を忘れてしまう確率を低くすることができる。というのは、対象者端末15は、着信音やメール受信音等の様々な通知音を発するものが多い。このため、対象者端末15で警告音81を発した場合、他の多くの通知音に紛れて警告音81の区別がつかなくなるが、生体センサ11の場合は通知音を警告音81のみに絞ることができるため、他の通知音に警告音81が紛れることがないためである。 Moreover, since the warning sound 81 is emitted from the speaker 80 of the biological sensor 11, that is, the fourth warning is displayed by the biological sensor 11, the probability that the pregnant woman S forgets to measure the biological information can be further reduced. This is because the target terminal 15 often emits various notification sounds such as a ringtone and a mail reception sound. For this reason, when the warning sound 81 is emitted from the target person terminal 15, the warning sound 81 cannot be distinguished from many other notification sounds. However, in the case of the biosensor 11, the notification sound is limited to the warning sound 81 only. This is because the warning sound 81 is not mixed with other notification sounds.
 もちろん、第4警告を生体センサ11ではなく対象者端末15で表示してもよい。また、生体センサ11および対象者端末15とは別の機器で第4警告を表示してもよい。 Of course, the fourth warning may be displayed not on the biosensor 11 but on the subject terminal 15. Further, the fourth warning may be displayed by a device different from the biosensor 11 and the subject terminal 15.
 出力制御部45から第4警告を出力するタイミングとしては、予め指定された時刻ジャストでもよいし、その前でもよい。例えば予め指定された時刻が診療日当日の診療開始2時間前であれば、診療日当日の前日の21:00に第4警告を出力してもよい。ただし、対象者端末15から生体センサ11に警告開始指令を送信するタイミングは、第4警告を出力するタイミングに関わらず、予め指定された時刻ジャストに限る。 The timing for outputting the fourth warning from the output control unit 45 may be a time just specified in advance or may be before that. For example, if the predesignated time is 2 hours before the start of the medical treatment on the day of medical treatment, the fourth warning may be output at 21:00 on the day before the medical treatment day. However, the timing at which the warning start command is transmitted from the subject terminal 15 to the biosensor 11 is limited to the time just specified in advance, regardless of the timing at which the fourth warning is output.
 予め指定された時刻の前に、第4警告の開始時刻を対象者端末15から生体センサ11に送信しておいてもよい。この場合は生体センサ11で開始時刻を記憶しておき、開始時刻になったら、生体センサ11が自らスピーカー80から警告音81を発する。 The start time of the fourth warning may be transmitted from the subject terminal 15 to the biometric sensor 11 before the time specified in advance. In this case, the biometric sensor 11 stores the start time, and when the start time is reached, the biometric sensor 11 emits a warning sound 81 from the speaker 80 itself.
 対象者端末15を介さずに生体センサ11と診療予約管理サーバ12とをネットワーク16で接続し、第4アドレスを生体センサ11のアドレスとして、第4警告を出力制御部45から直接生体センサ11に出力してもよい。 The biometric sensor 11 and the medical appointment management server 12 are connected via the network 16 without going through the subject terminal 15, the fourth address is set as the address of the biometric sensor 11, and the fourth warning is directly sent from the output control unit 45 to the biometric sensor 11. It may be output.
 第4警告の出力の一形態として警告音81を例示したが、生体センサ11にディスプレイがある場合は、このディスプレイに「診療日当日です。測定を行って下さい。」といったメッセージを表示してもよい。 The warning sound 81 is exemplified as one form of the fourth warning output. However, when the biological sensor 11 has a display, a message such as “It is the day of medical treatment. Please perform measurement” is displayed on this display. Good.
 [第5実施形態]
 なお、確定した診療時刻に、何らかの事情で妊婦Sが間に合わない場合に対応するため、確定した診療時刻の設定変更を妊婦Sが可能な構成としてもよい。例えば図31に示す予約確定通知画面85のように、確定した診療時刻を設定変更するための変更ボタン86を設ける。そして、変更ボタン86が操作された場合に、図32に示す設定変更画面90を出力制御部45から対象者端末15に配信する。設定変更画面90には、予約の状況を示す表91、設定ボタン92、戻るボタン93等が表示される。
[Fifth Embodiment]
In addition, in order to cope with the case where the pregnant woman S is not in time for the confirmed medical treatment time for some reason, the pregnant woman S may be configured to change the setting of the confirmed medical treatment time. For example, like the reservation confirmation notification screen 85 shown in FIG. 31, a change button 86 for changing the setting of the confirmed medical time is provided. Then, when the change button 86 is operated, the setting change screen 90 shown in FIG. On the setting change screen 90, a table 91 indicating a reservation status, a setting button 92, a return button 93, and the like are displayed.
 表91は、午前の診療時刻毎の予約の状況を示し、診療時刻毎に先約あり(予約可)、先約なし(予約不可)を○×印で表したものである。表91は、仮予約データに基づいて生成される。表91の下部には、表91を午後の予約の状況を示すものに切り替えるためのリンク94が張られている。ハッチングおよび符号95で示すように、表91中の現在設定されている診療時刻の欄には、選択カーソルが表示される。 Table 91 shows the reservation status at each medical treatment time in the morning, and indicates that there is a pre-order (reservation is possible) and no pre-reservation (reservation is not possible) at each medical time. Table 91 is generated based on provisional reservation data. At the bottom of the table 91, a link 94 is provided for switching the table 91 to one indicating the status of an afternoon reservation. As indicated by hatching and reference numeral 95, a selection cursor is displayed in the currently set medical treatment time column in Table 91.
 選択カーソル95は、現在時刻よりも未来で、かつ先約なしの○印の診療時刻のみを選択可能で、現在時刻よりも過去の診療時刻、および先約ありの×印の診療時刻は選択不可である。なお、表91において、現在時刻よりも過去の診療時刻、および先約ありの診療時刻を非表示としてもよい。 The selection cursor 95 can select only the medical time marked with ○ in the future from the current time and without predecessor, and cannot select the medical time in the past past the current time and the medical time marked with x. It is. In Table 91, a medical time that is earlier than the current time and a medical time that has a predecessor may be hidden.
 妊婦Sは、表91で予約の状況を確認し、先約なしの診療時刻の中から所望の診療時刻を選択する。これにより妊婦Sが選択した診療時刻の欄に選択カーソル95が移る。所望の診療時刻を選択した後、妊婦Sは設定ボタン92を選択する。設定ボタン92が選択されると、選択された診療時刻と妊婦Sの対象者IDからなる設定変更指示が対象者端末15から診療予約管理サーバ12に送信される。なお、戻るボタン93が選択された場合は、設定変更画面90から予約確定通知画面85に表示が戻される。 The pregnant woman S confirms the reservation status in Table 91, and selects a desired medical treatment time from medical treatment times without prior agreement. As a result, the selection cursor 95 is moved to the medical treatment time column selected by the pregnant woman S. After selecting the desired medical treatment time, the pregnant woman S selects the setting button 92. When the setting button 92 is selected, a setting change instruction including the selected medical treatment time and the subject ID of the pregnant woman S is transmitted from the subject terminal 15 to the medical treatment appointment management server 12. When the return button 93 is selected, the display is returned from the setting change screen 90 to the reservation confirmation notification screen 85.
 診療予約管理サーバ12では、対象者端末15からの設定変更指示を受けて、予約処理部43により診療予約の設定変更処理が行われる。設定変更処理は、具体的には確定した元の予約の予約破棄処理と、妊婦Sが設定変更画面90で選択した診療時刻への仮予約処理および予約確定処理である。こうすれば、予約処理部43で確定された診療時刻を、妊婦Sが自分に都合のよい診療時刻に設定変更することができ、確定した診療時刻に妊婦Sが間に合わない場合にも対応することができる。 In the medical appointment management server 12, in response to a setting change instruction from the target person terminal 15, the appointment processing unit 43 performs a medical appointment setting change process. Specifically, the setting change process is a reservation cancellation process of the confirmed original reservation, a provisional reservation process to the medical treatment time selected by the pregnant woman S on the setting change screen 90, and a reservation confirmation process. In this way, the medical treatment time determined by the reservation processing unit 43 can be changed to a medical time convenient for the pregnant woman S, and the case where the pregnant woman S is not in time for the confirmed medical treatment time can be handled. Can do.
 [第6実施形態]
 生体センサ11には、上記第1実施形態で例示したCTGセンサ11Aや血圧計11B等、正しい装着位置が定められているものがある。こうした生体センサ11が正しい装着位置に装着されていないと、測定データの信頼性が低下し、診療に役立たないものとなる。そこで、図33~図35に示す第6実施形態では、測定データに基づいて、生体センサ11の装着位置が間違っているか否かを判定し、装着位置が間違っていると判定された場合、装着位置が間違っている旨の第5警告を出力する。
[Sixth Embodiment]
Some biosensors 11 have correct mounting positions such as the CTG sensor 11A and blood pressure monitor 11B exemplified in the first embodiment. If such a biosensor 11 is not mounted at the correct mounting position, the reliability of the measurement data is lowered, and it is not useful for medical care. Therefore, in the sixth embodiment shown in FIGS. 33 to 35, it is determined whether or not the mounting position of the biosensor 11 is wrong based on the measurement data, and if it is determined that the mounting position is incorrect, the mounting is performed. A fifth warning indicating that the position is incorrect is output.
 図33において、第6実施形態の診療予約管理サーバ12のストレージデバイス20には、第5アドレスデータテーブル100が記憶されている。第5アドレスデータテーブル100には、上記第2実施形態の図22に示す第2アドレスデータテーブル63の第2アドレスと同様に、医療スタッフがスタッフ端末17で閲覧可能な電子メールのアドレスや、SNS(Social Networking Service)が提供するメッセージサービスの医療スタッフのID、あるいは電話番号が第5アドレスとして登録されている。ただし、第5アドレスデータテーブル100には、高リスク妊婦S-HR、低リスク妊婦S-LRに関わらず、全ての妊婦Sの対象者IDに第5アドレスが登録されている。 33, the fifth address data table 100 is stored in the storage device 20 of the medical appointment management server 12 of the sixth embodiment. In the fifth address data table 100, as in the second address of the second address data table 63 shown in FIG. 22 of the second embodiment, the e-mail address that the medical staff can view on the staff terminal 17 and the SNS The ID or telephone number of the medical staff of the message service provided by (Social Networking Service) is registered as the fifth address. However, in the fifth address data table 100, the fifth addresses are registered for the subject IDs of all pregnant women S regardless of the high-risk pregnant women S-HR and the low-risk pregnant women S-LR.
 図34において、第6実施形態では、測定データ受付部41は、測定データを判定部42に出力する。判定部42は、測定データ受付部41からの測定データに基づいて、生体センサ11の装着位置が間違っているか否かを判定する。生体センサ11の装着位置が間違っているか否かの判定は、例えば、一定期間における測定データの数値範囲と、予め設定された閾値範囲とを比較することで行う。この場合、一定期間における測定データの数値範囲が閾値範囲内に収まっていた場合、判定部42は、生体センサ11の装着位置が正しいと判定する。逆に一定期間における測定データの数値範囲が閾値範囲内に収まっていない場合は、生体センサ11の装着位置が間違っていると判定する。 34, in the sixth embodiment, the measurement data receiving unit 41 outputs the measurement data to the determination unit 42. The determination unit 42 determines whether the mounting position of the biosensor 11 is incorrect based on the measurement data from the measurement data reception unit 41. The determination as to whether or not the mounting position of the biosensor 11 is wrong is made, for example, by comparing the numerical range of the measurement data in a certain period with a preset threshold range. In this case, when the numerical value range of the measurement data in a certain period is within the threshold range, the determination unit 42 determines that the mounting position of the biosensor 11 is correct. On the contrary, when the numerical value range of the measurement data in the certain period is not within the threshold range, it is determined that the mounting position of the biosensor 11 is incorrect.
 判定部42は、生体センサ11の装着位置が間違っていると判定した場合、生体センサ11の装着位置が間違っている旨(装着位置NG)の判定結果を対象者IDとともに出力制御部45に出力する。出力制御部45は、第5アドレスデータテーブル100から、判定結果の対象者IDに対応する第5アドレスを読み出す。出力制御部45は、読み出した第5アドレスに第5警告を出力する。 When the determination unit 42 determines that the mounting position of the biosensor 11 is incorrect, the determination unit 42 outputs a determination result indicating that the mounting position of the biosensor 11 is incorrect (mounting position NG) to the output control unit 45 together with the subject ID. To do. The output control unit 45 reads the fifth address corresponding to the target person ID of the determination result from the fifth address data table 100. The output control unit 45 outputs a fifth warning to the read fifth address.
 図34は、第1妊婦S-1のCTGセンサ11Aの装着位置が間違っていると判定された場合を例示している。この場合、出力制御部45は、第1妊婦S-1の対象者ID「S001」に対応する第5アドレス「YYY01」に第5警告を出力する。 FIG. 34 illustrates a case where it is determined that the mounting position of the CTG sensor 11A of the first pregnant woman S-1 is incorrect. In this case, the output control unit 45 outputs the fifth warning to the fifth address “YYY01” corresponding to the subject ID “S001” of the first pregnant woman S-1.
 出力制御部45は、第5警告の出力の一形態として、図35に示す第5警告通知画面103をスタッフ端末17に出力する。第5警告通知画面103には、医療スタッフの担当の妊婦Sが、生体センサ11の装着位置を間違っている旨のメッセージ、すなわち第5警告と、生体センサ11の装着位置を正す処置を医療スタッフに促すメッセージと、妊婦Sと連絡をとるための電話番号とが書かれている。確認ボタン104は、第5警告通知画面103の表示を消すためのボタンである。図35では、図34に引き続き、第1妊婦S-1のCTGセンサ11Aの装着位置が間違っていると判定された場合を例示している。 The output control unit 45 outputs a fifth warning notification screen 103 shown in FIG. 35 to the staff terminal 17 as one form of output of the fifth warning. On the fifth warning notification screen 103, a medical staff member who is in charge of the medical staff gives a message indicating that the mounting position of the biosensor 11 is incorrect, that is, a fifth warning and a procedure for correcting the mounting position of the biosensor 11. And a telephone number for contacting the pregnant woman S. The confirmation button 104 is a button for erasing the display of the fifth warning notification screen 103. FIG. 35 illustrates a case where it is determined that the mounting position of the CTG sensor 11A of the first pregnant woman S-1 is incorrect following FIG.
 このように、生体センサ11の装着位置が間違っているか否かを判定し、装着位置が間違っていると判定した場合、その旨の第5警告を第5アドレスに出力するので、生体センサ11の装着位置が間違っていた場合にその状態を放置することなく、装着位置を正す処置を施すことができる。したがって、測定データの信頼性を確保することができる。 In this way, it is determined whether or not the mounting position of the biosensor 11 is wrong, and if it is determined that the mounting position is incorrect, a fifth warning to that effect is output to the fifth address. When the mounting position is wrong, it is possible to correct the mounting position without leaving the state. Therefore, the reliability of the measurement data can be ensured.
 もし仮に、測定データ自体は生体センサ11の装着位置が間違っていると判定部42で判定すべき値であるが、実際の生体センサ11の装着位置は間違っていなかった場合、妊婦Sの健康状態に緊急処置を要する異常が発生したことが考えられる。しかし、このような場合においても、第6実施形態によれば医療スタッフから妊婦Sに即座に連絡が取れる態勢であるため、妊婦Sに緊急の来院を促すことができる。 If the measurement data itself is a value that should be determined by the determination unit 42 if the mounting position of the biosensor 11 is incorrect, but the actual mounting position of the biosensor 11 is not incorrect, the health status of the pregnant woman S An abnormality requiring emergency treatment may have occurred. However, even in such a case, according to the sixth embodiment, since the medical staff is ready to contact the pregnant woman S, the emergency visit to the pregnant woman S can be promoted.
 生体センサ11の装着位置が間違っている状態のまま測定が行われたことが、妊婦Sの診療時に発覚した場合は、診療を中断して再測定しなければならない。そうすると、診療が長引き、妊婦Sの医療施設13の滞在時間が長くなるうえ、診療時刻を調整しなければならなくなる。しかし、第6実施形態によれば、こうした事態を避けることができる。 When it is detected at the time of medical treatment of the pregnant woman S that the measurement is performed while the wearing position of the biosensor 11 is wrong, the medical treatment must be interrupted and remeasured. Then, the medical treatment is prolonged, the staying time of the pregnant woman S in the medical facility 13 is lengthened, and the medical treatment time must be adjusted. However, according to the sixth embodiment, such a situation can be avoided.
 生体センサ11の装着位置が間違っているか否かの判定を、前回の測定データと今回の測定データの差分に基づいて行ってもよい。すなわち、前回の測定データと今回の測定データの差分が予め設定された閾値以上であった場合は生体センサ11の装着位置が間違っていると判定し、逆に差分が閾値よりも小さい場合は生体センサ11の装着位置が正しいと判定する。 The determination as to whether the mounting position of the biosensor 11 is incorrect may be made based on the difference between the previous measurement data and the current measurement data. That is, if the difference between the previous measurement data and the current measurement data is greater than or equal to a preset threshold value, it is determined that the mounting position of the biosensor 11 is incorrect, and conversely if the difference is smaller than the threshold value, It is determined that the mounting position of the sensor 11 is correct.
 なお、上記第1実施形態において、低リスク妊婦S-LRで最低条件の測定を行っていなかった場合、仮予約を破棄すると説明したが、仮予約の破棄に代えて、あるいは加えて、妊婦Sに生体情報の測定を促す旨の警告を第5アドレスに出力してもよい。第5アドレスだけでなく、上記第1実施形態の図8に示す第1アドレスデータテーブル35の第1アドレス(対象者端末15)に、妊婦Sに生体情報の測定を促す旨の警告を出力してもよい。 In the first embodiment, it has been described that the temporary reservation is canceled if the low-risk pregnant woman S-LR has not performed the measurement of the minimum condition, but instead of or in addition to the temporary reservation cancellation, the pregnant woman S A warning that prompts the user to measure biometric information may be output to the fifth address. In addition to the fifth address, a warning that the pregnant woman S is prompted to measure biometric information is output to the first address (subject terminal 15) of the first address data table 35 shown in FIG. 8 of the first embodiment. May be.
 なお、スタッフ端末17に代えて、あるいは加えて、対象者端末15に第5警告通知画面103を配信してもよい。この場合、生体センサ11の正しい装着位置を示す図や文章からなる装着ガイドを、第5警告通知画面103に表示してもよい。また、妊婦Sの関係者が所有する端末に第5警告通知画面103を配信してもよい。この場合の妊婦Sの関係者としては、例えば医療スタッフから妊婦Sとともに生体センサ11の装着方法をレクチャーされた妊婦Sの夫等が挙げられる。 Note that the fifth warning notification screen 103 may be distributed to the target person terminal 15 instead of or in addition to the staff terminal 17. In this case, the fifth warning notification screen 103 may display a mounting guide made up of diagrams and texts indicating the correct mounting position of the biometric sensor 11. Further, the fifth warning notification screen 103 may be distributed to a terminal owned by a related person of the pregnant woman S. Examples of the pregnant woman S in this case include the husband of the pregnant woman S who has been lectured by the medical staff on how to install the biosensor 11 together with the pregnant woman S.
 [第7実施形態]
 妊婦Sの健康状態は、測定データから推し量ることができる。そこで、図36~図39に示す第7実施形態では、測定データに基づいて、妊婦Sの健康状態が異常であるか否かを判定し、妊婦Sが高リスク妊婦S-HRであり、かつ健康状態が異常であると判定された場合、高リスク妊婦S-HRの健康状態が異常である旨の第6警告を出力する。
[Seventh Embodiment]
The health condition of the pregnant woman S can be estimated from the measurement data. Therefore, in the seventh embodiment shown in FIGS. 36 to 39, based on the measurement data, it is determined whether the health condition of the pregnant woman S is abnormal, the pregnant woman S is a high-risk pregnant woman S-HR, and When it is determined that the health condition is abnormal, a sixth warning that the health condition of the high-risk pregnant S-HR is abnormal is output.
 第7実施形態においては、上記第2実施形態の図22に示す第2アドレスデータテーブル63の第2アドレスを、第6警告の出力先とする。 In the seventh embodiment, the second address of the second address data table 63 shown in FIG. 22 of the second embodiment is set as the sixth warning output destination.
 図36および図37において、第7実施形態では、上記第6実施形態と同じく、測定データ受付部41は、測定データを判定部42に出力する。判定部42は、測定データ受付部41からの測定データに基づいて、妊婦Sの健康状態が異常であるか否かを判定する。妊婦Sの健康状態が異常であるか否かの判定は、例えば、CTGの測定データを、サイナソイダルパターンや遅発一過性徐脈といった医学的な異常所見と照らし合わせることで行う。また、血圧の測定データと医学的に定められた血圧の正常値とを比較することで行う。 36 and 37, in the seventh embodiment, the measurement data receiving unit 41 outputs the measurement data to the determination unit 42 as in the sixth embodiment. The determination unit 42 determines whether the health state of the pregnant woman S is abnormal based on the measurement data from the measurement data reception unit 41. The determination as to whether or not the health state of the pregnant woman S is abnormal is performed by, for example, comparing CTG measurement data with medical abnormal findings such as sinusoidal patterns and delayed transient bradycardia. Further, the measurement is performed by comparing blood pressure measurement data with a medically determined normal value of blood pressure.
 判定部42は、妊婦Sの健康状態が異常であると判定した場合、妊婦Sの健康状態が異常である旨(測定データ異常)の判定結果を対象者IDとともに出力制御部45に出力する。図36に示すように、リスクデータテーブル34からのリスクデータが「高」で、判定部42で高リスク妊婦S-HRと判定し、かつ健康状態が異常であると判定した場合、出力制御部45は、第2アドレスに第6警告を出力する。一方、図37に示すように、リスクデータテーブル34からのリスクデータが「低」で、判定部42で低リスク妊婦S-LRと判定した場合は、健康状態の判定結果に関わらず、第6警告を出力しない。 When the determination unit 42 determines that the health state of the pregnant woman S is abnormal, the determination unit 42 outputs a determination result indicating that the health state of the pregnant woman S is abnormal (abnormal measurement data) to the output control unit 45 together with the subject ID. As shown in FIG. 36, when the risk data from the risk data table 34 is “high”, the determination unit 42 determines that the risk is high-risk pregnant S-HR and the health condition is abnormal, the output control unit 45 outputs a sixth warning to the second address. On the other hand, as shown in FIG. 37, when the risk data from the risk data table 34 is “low” and the determination unit 42 determines that the risk is low-risk pregnant S-LR, the sixth Do not output warnings.
 図36は、高リスク妊婦S-HRである第1妊婦S-1のCTGの測定データが異常であると判定された場合を例示している。この場合、出力制御部45は、第1妊婦S-1の対象者ID「S001」に対応する第2アドレス「YYY01」に第6警告を出力する。一方、図37は、低リスク妊婦S-LRである第2妊婦S-2の血圧の測定データが異常であると判定された場合を例示している。この場合、出力制御部45は第6警告を出力しない。 FIG. 36 illustrates a case where the CTG measurement data of the first pregnant woman S-1 that is a high-risk pregnant woman S-HR is determined to be abnormal. In this case, the output control unit 45 outputs the sixth warning to the second address “YYY01” corresponding to the subject ID “S001” of the first pregnant woman S-1. On the other hand, FIG. 37 illustrates a case where the blood pressure measurement data of the second pregnant woman S-2, which is a low-risk pregnant woman S-LR, is determined to be abnormal. In this case, the output control unit 45 does not output the sixth warning.
 出力制御部45は、第6警告の出力の一形態として、図38に示す第6警告通知画面105をスタッフ端末17に配信する。第6警告通知画面105には、医療スタッフの担当の高リスク妊婦S-HRの健康状態が異常である旨のメッセージ、すなわち第6警告と、高リスク妊婦S-HRに直ちに診療を受けさせる働きかけをするよう医療スタッフに促すメッセージと、高リスク妊婦S-HRと連絡をとるための電話番号とが書かれている。確認ボタン106は、第6警告通知画面105の表示を消すためのボタンである。図38では、図36に引き続き、第1妊婦S-1のCTGの測定データが異常であると判定された場合を例示している。 The output control unit 45 distributes the sixth warning notification screen 105 shown in FIG. 38 to the staff terminal 17 as one form of output of the sixth warning. The sixth warning notification screen 105 displays a message indicating that the health status of the high-risk pregnant S-HR in charge of the medical staff is abnormal, that is, the sixth warning and prompting the high-risk pregnant S-HR to immediately receive medical care. A message that prompts the medical staff to do this and a phone number to contact the high-risk pregnant S-HR. The confirmation button 106 is a button for erasing the display of the sixth warning notification screen 105. FIG. 38 illustrates a case in which the CTG measurement data of the first pregnant woman S-1 is determined to be abnormal, following FIG.
 第7実施形態の構成による作用について、図39のフローチャートを参照して説明する。判定部42で高リスク妊婦S-HRと判定され、かつ健康状態が異常であると判定された場合(ステップST500、ステップST510でともにYES)、出力制御部45により第6警告通知画面105が第2アドレス(スタッフ端末17)に出力される(ステップST520)。一方、判定部42で低リスク妊婦S-LRと判定された場合(ステップST500でNO)は、健康状態の判定結果に関わらず、第6警告通知画面105は出力されない。判定部42で高リスク妊婦S-HRと判定され、かつ健康状態が正常であると判定された場合(ステップST500でYES、ステップST510でNO)も、当然ながら第6警告通知画面105は出力されない。 The operation of the configuration of the seventh embodiment will be described with reference to the flowchart of FIG. When the determination unit 42 determines that the patient is a high-risk pregnant S-HR and the health condition is abnormal (both YES in step ST500 and step ST510), the output control unit 45 displays the sixth warning notification screen 105 on the sixth warning notification screen 105. Two addresses (staff terminal 17) are output (step ST520). On the other hand, if the determination unit 42 determines that the risk is a low-risk pregnant woman S-LR (NO in step ST500), the sixth warning notification screen 105 is not output regardless of the determination result of the health state. If the determination unit 42 determines that the risk is high-risk pregnant S-HR and the health condition is normal (YES in step ST500, NO in step ST510), the sixth warning notification screen 105 is not output as a matter of course. .
 このように、判定部42で高リスク妊婦S-HRと判定し、かつ健康状態が異常であると判定した場合、高リスク妊婦S-HRの健康状態が異常である旨の第6警告を出力するので、高リスク妊婦S-HRの症状の重篤化を効果的に避けることができる。また、妊婦Sが低リスク妊婦S-LRであった場合は、健康状態の判定結果に関わらず第6警告を出力しない。このため、低リスク妊婦S-LRに対して直ちに診療を受けさせる働きかけをするといった不要不急の処置を医療スタッフが行わなくて済む。 As described above, when the determination unit 42 determines the high-risk pregnant woman S-HR and determines that the health condition is abnormal, the sixth warning that the health condition of the high-risk pregnant woman S-HR is abnormal is output. Therefore, serious symptoms of high-risk pregnant S-HR can be effectively avoided. In addition, when the pregnant woman S is a low-risk pregnant woman S-LR, the sixth warning is not output regardless of the health condition determination result. This eliminates the need for medical staff to perform unnecessary and urgent treatments such as prompting the low-risk pregnant S-LR to receive medical care immediately.
 なお、この場合も上記第2実施形態と同じく、妊婦Sの関係者が所有する端末に第6警告通知画面105を配信してもよい。 In this case, as in the second embodiment, the sixth warning notification screen 105 may be distributed to a terminal owned by a related person of the pregnant woman S.
 [第8実施形態]
 上記第7実施形態で説明したように、高リスク妊婦S-HRの健康状態が異常であった場合は、直ちに診療を受けさせる必要がある。そこで、図40および図41に示す第8実施形態では、高リスク妊婦S-HRの健康状態が異常であった場合、先約の有無に関わらず設定し得る最も早い診療時刻を設定する。
[Eighth Embodiment]
As described in the seventh embodiment, when the health status of the high-risk pregnant S-HR is abnormal, it is necessary to receive medical care immediately. Therefore, in the eighth embodiment shown in FIGS. 40 and 41, when the health state of the high-risk pregnant S-HR is abnormal, the earliest medical treatment time that can be set regardless of whether or not there is a prior agreement is set.
 図40において、第8実施形態においても、上記第7実施形態と同じく、判定部42は、測定データに基づいて、妊婦Sの健康状態が異常であるか否かを判定する。そして、妊婦Sの健康状態が異常であると判定した場合、妊婦Sの健康状態が異常である旨の判定結果(測定データ異常)を対象者IDとともに予約処理部43に出力する。 In FIG. 40, also in the eighth embodiment, as in the seventh embodiment, the determination unit 42 determines whether the health state of the pregnant woman S is abnormal based on the measurement data. When it is determined that the health state of the pregnant woman S is abnormal, a determination result (measurement data abnormality) indicating that the health state of the pregnant woman S is abnormal is output to the reservation processing unit 43 together with the subject ID.
 判定部42で高リスク妊婦S-HRと判定し、かつ健康状態が異常であると判定した場合、予約処理部43は、先約の有無に関わらず設定し得る最も早い診療時刻を設定する。具体的には、予約処理部43は、診療予約に関する処理として、本予約処理を行う。本予約処理は、先約の有無に関わらず設定し得る最も早い診療時刻を設定する旨の本予約指示をデータ管理部44および出力制御部45(図40では不図示)に出力する処理である。 When the determination unit 42 determines that the patient is a high-risk pregnant S-HR and the health condition is abnormal, the appointment processing unit 43 sets the earliest medical treatment time that can be set regardless of whether there is a prior agreement. Specifically, the appointment processing unit 43 performs this appointment process as a process related to a medical appointment. The reservation process is a process of outputting a reservation instruction for setting the earliest medical treatment time that can be set regardless of whether there is a prior agreement to the data management unit 44 and the output control unit 45 (not shown in FIG. 40). .
 図40は、2016/8/24の10:10に、高リスク妊婦S-HRである第1妊婦S-1のCTGの測定データが異常であると判定された場合を例示している。予約処理部43は、妊婦Sが通院に掛ると予測される時間を1時間と見積もり、設定し得る最も早い診療時刻である11:15~11:30を、第1妊婦S-1の診療時刻として設定するための本予約指示をデータ管理部44に出力する。 FIG. 40 illustrates a case where the CTG measurement data of the first pregnant woman S-1 that is a high-risk pregnant woman S-HR is determined to be abnormal at 10:10 on 2016/8/24. The reservation processing unit 43 estimates the estimated time that the pregnant woman S is going to the hospital as 1 hour, and sets the earliest medical time 11:15 to 11:30 that can be set as the medical time of the first pregnant woman S-1. Is output to the data management unit 44.
 設定前、診療時刻11:15~11:30には、対象者ID「S055」の妊婦Sの確定された先約があるが、データ管理部44は、対象者ID「S055」の妊婦Sの先約を、先約がない診療時刻のうちで最も早い診療時刻である11:45~12:00に移す。そして、これにより空いた診療時刻11:15~11:30に、第1妊婦S-1の対象者ID「S001」を登録し、かつ確定フラグに1を登録する。この場合、出力制御部45は、第1妊婦S-1の対象者端末15に予約確定通知画面50を出力するのはもちろんのこと、第1妊婦S-1に診療時刻を譲って、元の診療時刻が変更された対象者ID「S055」の妊婦Sの対象者端末15に対しても予約確定通知画面50を出力する。 Before setting, there is a pre-determined premise of the pregnant woman S with the subject ID “S055” at the medical hours 11:15 to 11:30, but the data management unit 44 has the pregnant woman S with the subject ID “S055”. The predecessor is moved to 11:45 to 12:00, which is the earliest medical treatment time among medical treatment times without a predecessor. Then, the patient ID “S001” of the first pregnant woman S-1 is registered at the vacant medical hours 11:15 to 11:30, and 1 is registered in the confirmation flag. In this case, the output control unit 45 not only outputs the reservation confirmation notification screen 50 to the target terminal 15 of the first pregnant woman S-1, but also hands over the medical time to the first pregnant woman S-1, The reservation confirmation notification screen 50 is also output to the subject terminal 15 of the pregnant woman S with the subject ID “S055” whose medical examination time has been changed.
 第8実施形態の構成による作用について、図41のフローチャートを参照して説明する。判定部42で高リスク妊婦S-HRと判定され、かつ健康状態が異常であると判定された場合(ステップST500、ステップST510でともにYES)、予約処理部43により、先約の有無に関わらず設定し得る最も早い診療時刻が設定される(ステップST600)。一方、判定部42で低リスク妊婦S-LRと判定された場合(ステップST500でNO)は、何も行われない。判定部42で高リスク妊婦S-HRと判定され、かつ健康状態が正常であると判定された場合(ステップST500でYES、ステップST510でNO)も、当然ながら何も行われない。 The operation of the configuration of the eighth embodiment will be described with reference to the flowchart of FIG. When the determination unit 42 determines that the patient is a high-risk pregnant S-HR and the health condition is abnormal (both YES in step ST500 and step ST510), the reservation processing unit 43 determines whether or not there is a predecessor The earliest medical time that can be set is set (step ST600). On the other hand, if the determination unit 42 determines that the risk is a low-risk pregnant woman S-LR (NO in step ST500), nothing is performed. Of course, if the determination unit 42 determines a high-risk pregnant woman S-HR and determines that the health condition is normal (YES in step ST500, NO in step ST510), nothing is performed.
 このように、判定部42で高リスク妊婦S-HRと判定し、かつ健康状態が異常であると判定した場合、先約の有無に関わらず設定し得る最も早い診療時刻を設定するので、健康状態が異常な高リスク妊婦S-HRを、誰よりも優先して診療することができる。したがって、高リスク妊婦S-HRの症状の重篤化を効果的に避けることができる。 As described above, when the determination unit 42 determines the high-risk pregnant woman S-HR and determines that the health condition is abnormal, the earliest medical treatment time that can be set regardless of whether or not there is a prior agreement is set. A high-risk pregnant S-HR with an abnormal condition can be treated with priority over anyone. Therefore, the seriousness of symptoms of high-risk pregnant S-HR can be effectively avoided.
 なお、高リスク妊婦S-HRの健康状態が異常であると判定した場合に第6警告を出力する上記第7実施形態と上記第8実施形態とを、複合して実施してもよい。高リスク妊婦S-HRの症状の重篤化を回避する効果をさらに高めることができる。 Note that the seventh embodiment and the eighth embodiment that output the sixth warning when it is determined that the health state of the high-risk pregnant S-HR is abnormal may be combined. The effect of avoiding serious symptoms of high-risk pregnant S-HR can be further enhanced.
 上記各実施形態では、診療日および診療時刻を仮予約で設定する態様を例示したが、診療日のみを仮予約で設定してもよい。この場合、予約処理部43は、仮予約を確定する際に、先約がない診療時刻のうちで最も早い診療時刻を設定する。この際、高リスク妊婦S-HRの診療時刻を、低リスク妊婦S-LRよりも早い時刻に設定してもよい。 In each of the above embodiments, a mode in which the medical treatment date and the medical treatment time are set by temporary reservation is illustrated, but only the medical treatment date may be set by temporary reservation. In this case, the reservation processing unit 43 sets the earliest medical time out of the medical time that has no predecessor when finalizing the temporary reservation. At this time, the medical treatment time of the high-risk pregnant woman S-HR may be set earlier than the low-risk pregnant woman S-LR.
 上記各実施形態のように、診療日および診療時刻を仮予約で設定し、仮予約で設定した診療時刻を確定する場合、診療予約が仮予約と本予約の二段階に分かれていることを、妊婦Sに意識させずに利用させることができ、妊婦Sにとって使い勝手がよい。仮予約の時点で診療時刻が分かるため、妊婦Sにとってスケジュールが立てやすい。また、医療施設13にとっても、仮予約で診療時刻も設定したほうが、スケジューリングが楽であるため使い勝手がよい。また、大多数の妊婦Sが、仮予約の診療時刻に間に合うように生体情報の測定を終了してくれることが想定されるため、診療の順番を調整するといった再スケジューリングの手間が最小限となる。 As in each of the above-described embodiments, when setting the medical treatment date and the medical treatment time in the temporary reservation and confirming the medical treatment time set in the temporary reservation, the medical treatment reservation is divided into two stages, the temporary reservation and the main reservation. It can be used without being conscious of the pregnant woman S, and is convenient for the pregnant woman S. Since the medical treatment time is known at the time of provisional reservation, it is easy for the pregnant woman S to make a schedule. In addition, it is easier for the medical facility 13 to set the medical treatment time by provisional reservation because scheduling is easier. Further, since it is assumed that the majority of pregnant women S will finish measuring biometric information in time for the provisional appointment, the time required for rescheduling such as adjusting the order of treatment is minimized. .
 上記各実施形態では、妊婦Sが医療施設13に通院することを前提としているが、本発明はこれに限らない。対象者端末15およびスタッフ端末17にテレビ電話機能を搭載し、自宅14においてテレビ電話機能を用いてオンライン診療を受ける場合にも適用することができる。 In the above embodiments, it is assumed that the pregnant woman S visits the medical facility 13, but the present invention is not limited to this. The present invention can also be applied to a case where the target person terminal 15 and the staff terminal 17 are equipped with a videophone function and receive online medical care at home 14 using the videophone function.
 オンライン診療とすれば、妊婦Sは医療施設13に通院しなくて済むので負担が減り、感染症への感染の心配もなくなる。特に頻繁に診療を受ける必要がある高リスク妊婦S-HRの場合は、通院による診療よりもオンライン診療のほうが好適である。また、オンライン診療とすれば、妊婦Sが普段は自宅14から通院し、産む直前に医療施設13から遠く離れた実家に里帰りした場合にも、それまでの測定データが蓄積されているため医療施設13が最良の対応をすることができる。なお、オンライン診療の場合は、妊婦Sが通院に掛ると予測される時間を見積もってタイムリミットを設定することは不要である。 In the case of online medical care, the pregnant woman S does not have to go to the medical facility 13, so the burden is reduced and there is no worry of infection. In particular, in the case of high-risk pregnant S-HR who needs frequent medical care, online medical care is preferable to out-patient medical care. In addition, in the case of online medical care, when a pregnant woman S usually goes from home 14 and returns home to a home away from the medical facility 13 just before giving birth, the measurement data up to that point is accumulated, so the medical facility 13 can do the best. In the case of online medical care, it is not necessary to set the time limit by estimating the time when the pregnant woman S is expected to go to the hospital.
 オンライン診療の場合、仮予約が確定したら直ちに診療を行うことができるため、通院の場合と比べて担当医師Dの作業効率がよくなる。現在時刻が確定した診療時刻の前で、かつ担当医師Dの手が空いていたあった場合、直ちに担当医師Dから妊婦Sに連絡をとり、前倒ししてオンライン診療を開始することも可能となる。担当医師Dは、仮予約が確定した妊婦Sから順に連絡をとってオンライン診療を行えばよい。 In the case of online medical care, since the medical care can be performed immediately after the provisional reservation is confirmed, the working efficiency of the doctor D in charge is improved compared with the case of going to hospital. If the current doctor's doctor D's hand is available before the time when the current time is fixed, the doctor's doctor D can immediately contact the pregnant woman S and start the online medical treatment ahead of schedule. . The doctor in charge D may contact the pregnant woman S who has been provisionally reserved in order to perform online medical care.
 なお、推奨条件および最低条件を満たしているか否かを妊婦S毎に示したリストを表示する画面を、スタッフ端末17に出力してもよい。こうすれば、推奨条件または最低条件を満たしていない妊婦Sに医療スタッフが連絡をとり、生体情報の測定を促すといった処置を施すことができる。 It should be noted that a screen displaying a list showing whether or not the recommended condition and the minimum condition are satisfied for each pregnant woman S may be output to the staff terminal 17. In this way, a medical staff can contact the pregnant woman S who does not satisfy the recommended condition or the minimum condition, and can take measures such as prompting measurement of biological information.
 上記各実施形態では、診療予約管理サーバ12が1つの医療施設13に設置され、この1つの医療施設13の診療予約を診療予約管理サーバ12で管理する例を挙げたが、複数の医療施設13の診療予約を1つの診療予約管理サーバ12で管理してもよい。この場合、診療予約管理サーバ12は、複数の医療施設13のうちの1つに設置されていてもよいし、複数の医療施設13とは別の運営主体の施設、例えば作動プログラム30を提供するメーカーのデータセンター等に設置されていてもよい。 In each of the above-described embodiments, the medical reservation management server 12 is installed in one medical facility 13, and the medical reservation management server 12 manages the medical reservation of the one medical facility 13, but a plurality of medical facilities 13 are provided. These medical appointments may be managed by one medical appointment management server 12. In this case, the medical appointment management server 12 may be installed in one of the plurality of medical facilities 13 or provides a facility of an operating entity different from the plurality of medical facilities 13, for example, the operation program 30. It may be installed in a manufacturer's data center.
 対象者端末15およびスタッフ端末17としては、上記第1実施形態で例示したスマートフォンやタブレットコンピュータ等に限らず、他の携帯情報端末、またはノート型パソコン、デスクトップ型パソコン、もしくは診療予約管理システム10専用に製造された機器でもよい。 The target terminal 15 and the staff terminal 17 are not limited to the smartphones and tablet computers exemplified in the first embodiment, but are other portable information terminals, notebook computers, desktop computers, or the medical appointment management system 10 only. It may be a device manufactured in the same way.
 本発明の診療予約管理装置を構成するコンピュータのハードウェア構成は種々の変形が可能である。例えば、診療予約管理装置を、処理能力や信頼性の向上を目的として、ハードウェアとして分離された複数台のコンピュータで構成することも可能である。例えば、仮予約受付部40の機能と、測定データ受付部41、判定部42、および予約処理部43の機能と、データ管理部44、および出力制御部45の機能とを、3台のコンピュータに分散して担わせる。この場合は3台のコンピュータで診療予約管理装置を構成する。 The hardware configuration of the computer constituting the medical appointment management apparatus of the present invention can be variously modified. For example, the medical appointment management apparatus can be configured by a plurality of computers separated as hardware for the purpose of improving processing capability and reliability. For example, the functions of the provisional reservation receiving unit 40, the functions of the measurement data receiving unit 41, the determination unit 42, and the reservation processing unit 43, and the functions of the data management unit 44 and the output control unit 45 are combined into three computers. Distribute and carry. In this case, the medical appointment management apparatus is composed of three computers.
 また、推奨条件判定機能をもつ推奨条件判定部と、最低条件判定機能をもつ最低条件判定部と、対象者判定機能をもつ対象者判定部とを別々に設けてもよい。 Also, a recommended condition determination unit having a recommended condition determination function, a minimum condition determination unit having a minimum condition determination function, and a subject determination unit having a subject determination function may be provided separately.
 このように、コンピュータのハードウェア構成は、処理能力、安全性、信頼性等の指示される性能に応じて適宜変更することができる。さらに、ハードウェアに限らず、作動プログラム30等のAPについても、安全性や信頼性の確保を目的として、二重化したり、あるいは、複数のストレージデバイスに分散して格納することももちろん可能である。 As described above, the hardware configuration of the computer can be changed as appropriate in accordance with instructed performance such as processing capability, safety, and reliability. Furthermore, not only the hardware but also the AP such as the operation program 30 can be duplicated or distributed and stored in a plurality of storage devices for the purpose of ensuring safety and reliability. .
 上記各実施形態では、予約確定通知画面50等の各画面をウェブ配信用の画面データの形式で出力制御部45から出力する態様を例示したが、各画面を生成するためのAPをインストールし、出力制御部45からは、各画面の生成に必要なデータ(例えば予約処理部43で確定した診療時刻)を出力する態様でもよい。あるいは、各画面に記されたメッセージのテキストデータを対象者端末15等に出力してもよい。 In each of the above embodiments, an example in which each screen such as the reservation confirmation notification screen 50 is output from the output control unit 45 in the form of screen data for web distribution is illustrated. However, an AP for generating each screen is installed, The output control unit 45 may output data necessary for generating each screen (for example, a medical treatment time determined by the reservation processing unit 43). Or you may output the text data of the message described on each screen to the object person terminal 15 grade | etc.,.
 また、予約処理部43で確定した診療時刻等、予約処理の結果の出力形態としては、上記各実施形態の予約確定通知画面等に限らない。妊婦Sが対象者端末15で閲覧可能な電子メールアドレスに、予約処理の結果を報せる電子メールを送信してもよい。あるいは、妊婦Sの自宅14のファックス番号に、予約処理の結果を報せるファックスを送信してもよい。 Further, the output form of the result of the reservation process, such as the medical treatment time determined by the reservation processing unit 43, is not limited to the reservation confirmation notification screen of each of the above embodiments. An e-mail that reports the result of the reservation process may be transmitted to an e-mail address that the pregnant woman S can view on the subject terminal 15. Or you may transmit the fax which can report the result of a reservation process to the fax number of the pregnant woman S's home 14.
 対象者は上記各実施形態で例示した妊婦Sに限らない。例えば開腹手術をして退院後に自宅14で療養している患者等、健康状態の監視が必要な者であればよい。 The target person is not limited to the pregnant woman S exemplified in the above embodiments. For example, it may be a person who needs to monitor the health condition, such as a patient who has undergone laparotomy and is being treated at home 14 after discharge.
 上記各実施形態において、例えば、仮予約受付部40、測定データ受付部41、判定部42、予約処理部43、データ管理部44、出力制御部45といった各種の処理を実行する処理部(processing unit)のハードウェア的な構造は、次に示すような各種のプロセッサ(processor)である。 In the above embodiments, for example, a processing unit (processing unit) that executes various processes such as the provisional reservation receiving unit 40, the measurement data receiving unit 41, the determination unit 42, the reservation processing unit 43, the data management unit 44, and the output control unit 45. The hardware structure of) is the following various processors.
 各種のプロセッサには、CPU、プログラマブルロジックデバイス(Programmable Logic Device:PLD)、専用電気回路等が含まれる。CPUは、周知のとおりソフトウエア(プログラム)を実行して各種の処理部として機能する汎用的なプロセッサである。PLDは、FPGA(Field Programmable Gate Array) 等の、製造後に回路構成を変更可能なプロセッサである。専用電気回路は、ASIC(Application Specific Integrated Circuit)等の特定の処理を実行させるために専用に設計された回路構成を有するプロセッサである。 Various processors include a CPU, a programmable logic device (PLD), a dedicated electric circuit, and the like. The CPU is a general-purpose processor that executes software (program) and functions as various processing units as is well known. The PLD is a processor whose circuit configuration can be changed after manufacturing, such as FPGA (Field Programmable Gate Gate Array). The dedicated electric circuit is a processor having a circuit configuration designed exclusively for executing a specific process such as ASIC (Application Specific Specific Integrated Circuit).
 1つの処理部は、これら各種のプロセッサのうちの1つで構成されてもよいし、同種または異種の2つ以上のプロセッサの組み合せ(例えば、複数のFPGAや、CPUとFPGAの組み合わせ)で構成されてもよい。また、複数の処理部を1つのプロセッサで構成してもよい。複数の処理部を1つのプロセッサで構成する例としては、第1に、1つ以上のCPUとソフトウエアの組み合わせで1つのプロセッサを構成し、このプロセッサが複数の処理部として機能する形態がある。第2に、システムオンチップ(System On Chip:SoC)等に代表されるように、複数の処理部を含むシステム全体の機能を1つのICチップで実現するプロセッサを使用する形態がある。このように、各種の処理部は、ハードウェア的な構造として、上記各種のプロセッサを1つ以上用いて構成される。 One processing unit may be composed of one of these various processors, or may be composed of a combination of two or more processors of the same type or different types (for example, a combination of a plurality of FPGAs or CPUs and FPGAs). May be. Further, the plurality of processing units may be configured by one processor. As an example of configuring a plurality of processing units with one processor, first, there is a form in which one processor is configured by a combination of one or more CPUs and software, and this processor functions as a plurality of processing units. . Secondly, as represented by a system-on-chip (SoC), there is a form in which a processor that realizes the functions of the entire system including a plurality of processing units with one IC chip is used. As described above, various processing units are configured using one or more of the various processors as a hardware structure.
 さらに、これらの各種のプロセッサのハードウェア的な構造は、より具体的には、半導体素子等の回路素子を組み合わせた電気回路(circuitry)である。 Further, the hardware structure of these various processors is more specifically an electric circuit (circuitry) in which circuit elements such as semiconductor elements are combined.
 上記記載から、以下の付記項1に記載の診療予約管理装置、および付記項2に記載の診療予約管理システムを把握することができる。 From the above description, it is possible to grasp the medical appointment management device described in the following supplementary note 1 and the medical appointment management system described in the supplementary note 2.
 [付記項1]
 生体センサを使用して生体情報を測定する対象者の診療予約の仮予約を受け付ける仮予約受付プロセッサと、
 前記生体情報の測定データを受け付ける測定データ受付プロセッサと、
 前記測定データに基づいて、測定が推奨される前記生体情報の測定条件である推奨条件が満たされたか否かを判定する推奨条件判定プロセッサと、
 前記測定データに基づいて、診療に最低限必要な前記生体情報の測定条件である最低条件が満たされたか否かを判定する最低条件判定プロセッサと、
 前記対象者が、症状が重篤化するリスクが高い高リスク対象者であるか、前記高リスク対象者よりも前記リスクが低い低リスク対象者であるかを判定する対象者判定プロセッサと、
 前記診療予約に関する処理を行う予約処理プロセッサであり、前記推奨条件判定プロセッサで前記推奨条件が満たされたと判定した場合、および前記対象者判定プロセッサで前記低リスク対象者と判定し、かつ前記最低条件判定プロセッサで前記最低条件が満たされたと判定した場合、前記仮予約を確定する処理を行う予約処理プロセッサと、
 前記予約処理プロセッサの処理結果を出力する出力制御プロセッサとを備える診療予約管理装置。
[Additional Item 1]
A provisional reservation accepting processor for accepting a provisional reservation of a medical appointment of a subject who measures biological information using a biological sensor;
A measurement data reception processor for receiving measurement data of the biological information;
Based on the measurement data, a recommended condition determination processor that determines whether a recommended condition that is a measurement condition of the biological information recommended for measurement is satisfied,
Based on the measurement data, a minimum condition determination processor that determines whether or not a minimum condition that is a measurement condition of the biological information necessary for medical treatment is satisfied;
A subject determination processor that determines whether the subject is a high-risk subject with a high risk of symptom severity, or a low-risk subject with a lower risk than the high-risk subject; and
A reservation processing processor that performs processing related to the medical appointment, and when the recommended condition determination processor determines that the recommended condition is satisfied, and the target person determination processor determines the low risk target person, and the minimum condition If it is determined by the determination processor that the minimum condition is satisfied, a reservation processing processor that performs a process of determining the provisional reservation;
A medical appointment management apparatus comprising: an output control processor that outputs a processing result of the appointment processor.
 [付記項2]
 健康状態の監視が必要な対象者に使用される生体センサと、ネットワーク上に設置され、前記対象者の診療予約を管理する診療予約管理装置とを備える診療予約管理システムにおいて、
 前記診療予約管理装置は、
 前記診療予約の仮予約を受け付ける仮予約受付プロセッサと、
 前記対象者の生体情報の測定データを受け付ける測定データ受付プロセッサと、
 前記測定データに基づいて、測定が推奨される前記生体情報の測定条件である推奨条件が満たされたか否かを判定する推奨条件判定プロセッサと、
 前記測定データに基づいて、診療に最低限必要な前記生体情報の測定条件である最低条件が満たされたか否かを判定する最低条件判定プロセッサと、
 前記対象者が、症状が重篤化するリスクが高い高リスク対象者であるか、前記高リスク対象者よりも前記リスクが低い低リスク対象者であるかを判定する対象者判定プロセッサと、
 前記診療予約に関する処理を行う予約処理プロセッサであり、前記推奨条件判定プロセッサで前記推奨条件が満たされたと判定した場合、および前記対象者判定プロセッサで前記低リスク対象者と判定し、かつ前記最低条件判定プロセッサで前記最低条件が満たされたと判定した場合、前記仮予約を確定する処理を行う予約処理プロセッサと、
 前記予約処理プロセッサの処理結果を出力する出力制御プロセッサとを備える診療予約管理システム。
[Additional Item 2]
In a medical appointment management system comprising a biometric sensor used for a subject who needs to monitor health status, and a medical appointment management device installed on a network and managing a medical appointment of the subject,
The medical appointment management device includes:
A provisional reservation accepting processor for accepting a provisional reservation of the medical appointment;
A measurement data reception processor for receiving measurement data of the subject's biological information;
Based on the measurement data, a recommended condition determination processor that determines whether a recommended condition that is a measurement condition of the biological information recommended for measurement is satisfied,
Based on the measurement data, a minimum condition determination processor that determines whether or not a minimum condition that is a measurement condition of the biological information necessary for medical treatment is satisfied;
A subject determination processor that determines whether the subject is a high-risk subject with a high risk of symptom severity, or a low-risk subject with a lower risk than the high-risk subject; and
A reservation processing processor that performs processing related to the medical appointment, and when the recommended condition determination processor determines that the recommended condition is satisfied, and the target person determination processor determines the low risk target person, and the minimum condition If it is determined by the determination processor that the minimum condition is satisfied, a reservation processing processor that performs a process of determining the provisional reservation;
A medical appointment management system comprising: an output control processor that outputs a processing result of the appointment processor.
 本発明は、上述の種々の実施形態や種々の変形例を適宜組み合わせることも可能である。また、上記各実施形態に限らず、本発明の要旨を逸脱しない限り種々の構成を採用し得ることはもちろんである。さらに、本発明は、プログラムに加えて、プログラムを記憶する記憶媒体にもおよぶ。 The present invention can be appropriately combined with the above-described various embodiments and various modifications. Moreover, it is needless to say that various configurations can be adopted without departing from the gist of the present invention. Furthermore, the present invention extends to a storage medium for storing a program in addition to the program.
 10 診療予約管理システム
 11 生体センサ
 11A CTGセンサ
 11B 血圧計
 11C 体重計
 12 診療予約管理サーバ(診療予約管理装置)
 13 医療施設
 14 自宅
 15 対象者端末
 16 ネットワーク
 17 スタッフ端末
 20 ストレージデバイス
 21 メモリ
 22 中央制御部
 23 通信部
 24 データバス
 30 作動プログラム
 31 測定データテーブル
 32 予約データテーブル
 33 条件データテーブル
 34 リスクデータテーブル
 35 第1アドレスデータテーブル、第3アドレスデータテーブル、第4アドレスデータテーブル
 40 仮予約受付部
 41 測定データ受付部
 42 判定部
 43 予約処理部
 44 データ管理部
 45 出力制御部
 48 表
 50、85 予約確定通知画面
 51、71 枠
 52、56、61、66、72、104、106 確認ボタン
 55 予約破棄通知画面
 60 第1警告通知画面
 63 第2アドレスデータテーブル
 65 第2警告通知画面
 70 第3警告通知画面
 80 スピーカー
 81 警告音
 86 変更ボタン
 90 設定変更画面
 91 表
 92 設定ボタン
 93 戻るボタン
 94 リンク
 95 選択カーソル
 100 第5アドレスデータテーブル
 103 第5警告通知画面
 105 第6警告通知画面
 S 妊婦(対象者)
 S-HR 高リスク妊婦(高リスク対象者)
 S-LR 低リスク妊婦(低リスク対象者)
 S-1 第1妊婦
 S-2 第2妊婦
 D 担当医師
 N 担当看護師
 ST100、ST110、ST200、ST210、ST300~ST400、ST500~ST520、ST600 ステップ
DESCRIPTION OF SYMBOLS 10 Medical appointment management system 11 Biosensor 11A CTG sensor 11B Blood pressure monitor 11C Weight scale 12 Medical appointment management server (medical appointment management apparatus)
13 Medical facility 14 Home 15 Target terminal 16 Network 17 Staff terminal 20 Storage device 21 Memory 22 Central control unit 23 Communication unit 24 Data bus 30 Operating program 31 Measurement data table 32 Reserved data table 33 Condition data table 34 Risk data table 35 1 address data table, 3rd address data table, 4th address data table 40 Temporary reservation reception unit 41 Measurement data reception unit 42 Determination unit 43 Reservation processing unit 44 Data management unit 45 Output control unit 48 Table 50, 85 Reservation confirmation notification screen 51, 71 Frames 52, 56, 61, 66, 72, 104, 106 Confirmation button 55 Reservation discard notification screen 60 First warning notification screen 63 Second address data table 65 Second warning notification screen 70 Third warning notification screen Surface 80 Speaker 81 Warning sound 86 Change button 90 Setting change screen 91 Table 92 Setting button 93 Back button 94 Link 95 Selection cursor 100 5th address data table 103 5th warning notification screen 105 6th warning notification screen S Pregnant woman (subject)
S-HR high-risk pregnant women (high-risk subjects)
S-LR low-risk pregnant women (low-risk subjects)
S-1 first pregnant woman S-2 second pregnant woman D doctor in charge N nurse in charge ST100, ST110, ST200, ST210, ST300 to ST400, ST500 to ST520, ST600 Step

Claims (14)

  1.  生体センサを使用して生体情報を測定する対象者の診療予約の仮予約を受け付ける仮予約受付部と、
     前記生体情報の測定データを受け付ける測定データ受付部と、
     前記測定データに基づいて、測定が推奨される前記生体情報の測定条件である推奨条件が満たされたか否かを判定する推奨条件判定部と、
     前記測定データに基づいて、診療に最低限必要な前記生体情報の測定条件である最低条件が満たされたか否かを判定する最低条件判定部と、
     前記対象者が、症状が重篤化するリスクが高い高リスク対象者であるか、前記高リスク対象者よりも前記リスクが低い低リスク対象者であるかを判定する対象者判定部と、
     前記診療予約に関する処理を行う予約処理部であり、前記推奨条件判定部で前記推奨条件が満たされたと判定した場合、および前記対象者判定部で前記低リスク対象者と判定し、かつ前記最低条件判定部で前記最低条件が満たされたと判定した場合、前記仮予約を確定する処理を行う予約処理部と、
     前記予約処理部の処理結果を出力する出力制御部とを備える診療予約管理装置。
    A provisional reservation accepting unit that accepts a provisional reservation of a medical appointment of a subject who measures biological information using a biological sensor;
    A measurement data receiving unit for receiving measurement data of the biological information;
    Based on the measurement data, a recommended condition determination unit that determines whether a recommended condition that is a measurement condition of the biological information recommended for measurement is satisfied,
    Based on the measurement data, a minimum condition determination unit that determines whether or not a minimum condition that is a measurement condition of the biological information necessary for medical treatment is satisfied,
    A subject determination unit that determines whether the subject is a high-risk subject who has a high risk of symptom severity, or a low-risk subject that has a lower risk than the high-risk subject; and
    A reservation processing unit that performs processing related to the medical appointment, and when the recommended condition determination unit determines that the recommended condition is satisfied, and when the target person determination unit determines the low risk target person, and the minimum condition If the determination unit determines that the minimum condition is satisfied, a reservation processing unit that performs a process of determining the provisional reservation;
    A medical appointment management apparatus comprising: an output control unit that outputs a processing result of the appointment processing unit.
  2.  前記予約処理部は、前記対象者判定部で前記低リスク対象者と判定し、かつ前記最低条件判定部で前記最低条件が満たされていないと判定した場合、前記仮予約を破棄する処理を行う請求項1に記載の診療予約管理装置。 The reservation processing unit performs a process of discarding the provisional reservation when the target determination unit determines that the subject is a low risk target and the minimum condition determination unit determines that the minimum condition is not satisfied. The medical appointment management apparatus according to claim 1.
  3.  前記予約処理部は、前記対象者判定部で前記高リスク対象者と判定し、かつ前記推奨条件判定部で前記推奨条件が満たされていないと判定した場合、前記出力制御部に警告を出力させる処理を行う請求項1または2に記載の診療予約管理装置。 The reservation processing unit causes the output control unit to output a warning when the target determination unit determines that the target is a high-risk target and the recommended condition determination unit determines that the recommended condition is not satisfied The medical appointment management device according to claim 1 or 2, wherein the processing is performed.
  4.  前記出力制御部は、前記警告として、前記高リスク対象者に通院を促す旨の第1警告を、予め登録された第1アドレスに出力する請求項3に記載の診療予約管理装置。 4. The medical appointment management device according to claim 3, wherein the output control unit outputs, as the warning, a first warning for prompting the high-risk subject to go to a first address registered in advance.
  5.  前記出力制御部は、前記警告として、前記高リスク対象者が前記推奨条件を満たしていない旨の第2警告を、予め登録された第2アドレスに出力する請求項3または4に記載の診療予約管理装置。 5. The medical appointment according to claim 3, wherein the output control unit outputs, as the warning, a second warning that the high-risk subject does not satisfy the recommended condition to a second address registered in advance. Management device.
  6.  前記予約処理部は、前記対象者判定部で前記高リスク対象者と判定し、かつ前記推奨条件判定部で前記推奨条件が満たされていないと判定した場合、前記仮予約をし直す処理を行い、
     前記出力制御部は、前記警告として、前記仮予約をし直した旨の第3警告を、予め登録された第3アドレスに出力する請求項3ないし5のいずれか1項に記載の診療予約管理装置。
    The reservation processing unit performs the process of re-performing the temporary reservation when the target determination unit determines that the target is a high-risk target and the recommended condition determination unit determines that the recommended condition is not satisfied. ,
    6. The medical appointment management according to claim 3, wherein the output control unit outputs, as the warning, a third warning indicating that the provisional appointment has been re-executed, to a third address registered in advance. apparatus.
  7.  前記対象者は妊婦であり、
     前記生体情報は、少なくとも胎児の心拍および子宮収縮圧を測定項目として含む請求項1ないし6のいずれか1項に記載の診療予約管理装置。
    The subject is a pregnant woman;
    The medical appointment management apparatus according to any one of claims 1 to 6, wherein the biological information includes at least fetal heartbeat and uterine contraction pressure as measurement items.
  8.  前記推奨条件は、前記仮予約した診療日当日の前記胎児の心拍および前記子宮収縮圧の測定データが得られているか否かを含み、
     前記最低条件は、前記仮予約した診療日当日と、前記仮予約した診療日当日より前の所定期間の前記胎児の心拍および前記子宮収縮圧の測定データが得られているか否かを含む請求項7に記載の診療予約管理装置。
    The recommended conditions include whether or not measurement data of the fetal heartbeat and the uterine contraction pressure on the provisional appointment date is obtained,
    The minimum condition includes the date of the provisional appointment date and whether or not measurement data of the fetal heartbeat and uterine contraction pressure for a predetermined period before the provisionally appointment date is obtained. 7. The medical appointment management device according to 7.
  9.  前記推奨条件は、前記胎児の心拍および前記子宮収縮圧に加えて他の測定項目の測定データが得られているか否かを含み、
     前記最低条件は、少なくとも前記胎児の心拍および前記子宮収縮圧の測定データが得られているか否かを含む請求項7または8に記載の診療予約管理装置。
    The recommended condition includes whether measurement data of other measurement items is obtained in addition to the fetal heartbeat and the uterine contraction pressure,
    The medical appointment management apparatus according to claim 7 or 8, wherein the minimum condition includes whether or not measurement data of at least the fetal heartbeat and the uterine contraction pressure is obtained.
  10.  前記出力制御部は、前記仮予約に応じて指定された時点である指定時点までに、前記推奨条件の前記生体情報の測定を終了すべき旨の第4警告を、予め登録された第4アドレスに出力する請求項1ないし9のいずれか1項に記載の診療予約管理装置。 The output control unit outputs a fourth warning indicating that the measurement of the biometric information of the recommended condition should be completed by a designated time point, which is a time point designated according to the provisional reservation, at a pre-registered fourth address 10. The medical appointment management device according to any one of claims 1 to 9, which is output to
  11.  前記第4警告は、前記生体センサで表示される請求項10に記載の診療予約管理装置。 The medical appointment management device according to claim 10, wherein the fourth warning is displayed by the biometric sensor.
  12.  生体センサを使用して生体情報を測定する対象者の診療予約の仮予約を受け付ける仮予約受付ステップと、
     前記生体情報の測定データを受け付ける測定データ受付ステップと、
     前記測定データに基づいて、測定が推奨される前記生体情報の測定条件である推奨条件が満たされたか否かを判定する推奨条件判定ステップと、
     前記測定データに基づいて、診療に最低限必要な前記生体情報の測定条件である最低条件が満たされたか否かを判定する最低条件判定ステップと、
     前記対象者が、症状が重篤化するリスクが高い高リスク対象者であるか、前記高リスク対象者よりも前記リスクが低い低リスク対象者であるかを判定する対象者判定ステップと、
     前記診療予約に関する処理を行う予約処理ステップであり、前記推奨条件判定ステップで前記推奨条件が満たされたと判定した場合、および前記対象者判定ステップで前記低リスク対象者と判定し、かつ前記最低条件判定ステップで前記最低条件が満たされたと判定した場合、前記仮予約を確定する処理を行う予約処理ステップと、
     前記予約処理ステップの処理結果を出力する出力制御ステップとを備える診療予約管理装置の作動方法。
    A provisional reservation accepting step for accepting a provisional reservation of a medical appointment of a subject who measures biological information using a biological sensor;
    A measurement data receiving step for receiving measurement data of the biological information;
    Based on the measurement data, a recommended condition determination step for determining whether a recommended condition that is a measurement condition of the biological information recommended for measurement is satisfied,
    Based on the measurement data, a minimum condition determination step for determining whether or not a minimum condition that is a measurement condition of the biological information necessary for medical treatment is satisfied,
    A subject determination step for determining whether the subject is a high-risk subject who has a high risk of symptom severity, or a low-risk subject whose risk is lower than the high-risk subject; and
    It is a reservation processing step for performing processing related to the medical appointment, and when it is determined in the recommended condition determination step that the recommended condition is satisfied, and in the target person determination step, it is determined as the low risk target person, and the minimum condition If it is determined in the determination step that the minimum condition is satisfied, a reservation processing step for performing a process of confirming the provisional reservation;
    An operation method of a medical appointment management device comprising: an output control step for outputting a processing result of the appointment processing step.
  13.  生体センサを使用して生体情報を測定する対象者の診療予約の仮予約を受け付ける仮予約受付機能と、
     前記生体情報の測定データを受け付ける測定データ受付機能と、
     前記測定データに基づいて、測定が推奨される前記生体情報の測定条件である推奨条件が満たされたか否かを判定する推奨条件判定機能と、
     前記測定データに基づいて、診療に最低限必要な前記生体情報の測定条件である最低条件が満たされたか否かを判定する最低条件判定機能と、
     前記対象者が、症状が重篤化するリスクが高い高リスク対象者であるか、前記高リスク対象者よりも前記リスクが低い低リスク対象者であるかを判定する対象者判定機能と、
     前記診療予約に関する処理を行う予約処理機能であり、前記推奨条件判定機能で前記推奨条件が満たされたと判定した場合、および前記対象者判定機能で前記低リスク対象者と判定し、かつ前記最低条件判定機能で前記最低条件が満たされたと判定した場合、前記仮予約を確定する処理を行う予約処理機能と、
     前記予約処理機能の処理結果を出力する出力制御機能とを、コンピュータに実行させる診療予約管理装置の作動プログラム。
    A provisional reservation accepting function for accepting a provisional appointment of a medical appointment of a subject who measures biological information using a biological sensor;
    A measurement data reception function for receiving measurement data of the biological information;
    Based on the measurement data, a recommended condition determination function that determines whether a recommended condition that is a measurement condition of the biological information recommended for measurement is satisfied,
    Based on the measurement data, a minimum condition determination function for determining whether or not a minimum condition that is a measurement condition of the biological information necessary for medical treatment is satisfied,
    A subject determination function for determining whether the subject is a high-risk subject who has a high risk of symptom severity, or a low-risk subject whose risk is lower than the high-risk subject,
    It is a reservation processing function that performs processing related to the medical appointment, and when the recommended condition determination function determines that the recommended condition is satisfied, and the target person determination function determines the low risk target person, and the minimum condition When it is determined that the minimum condition is satisfied by the determination function, a reservation processing function for performing a process of determining the provisional reservation;
    An operating program for a medical appointment management apparatus that causes a computer to execute an output control function that outputs a processing result of the appointment processing function.
  14.  健康状態の監視が必要な対象者に使用される生体センサと、ネットワーク上に設置され、前記対象者の診療予約を管理する診療予約管理装置とを備える診療予約管理システムにおいて、
     前記診療予約管理装置は、
     前記診療予約の仮予約を受け付ける仮予約受付部と、
     前記対象者の生体情報の測定データを受け付ける測定データ受付部と、
     前記測定データに基づいて、測定が推奨される前記生体情報の測定条件である推奨条件が満たされたか否かを判定する推奨条件判定部と、
     前記測定データに基づいて、診療に最低限必要な前記生体情報の測定条件である最低条件が満たされたか否かを判定する最低条件判定部と、
     前記対象者が、症状が重篤化するリスクが高い高リスク対象者であるか、前記高リスク対象者よりも前記リスクが低い低リスク対象者であるかを判定する対象者判定部と、
     前記診療予約に関する処理を行う予約処理部であり、前記推奨条件判定部で前記推奨条件が満たされたと判定した場合、および前記対象者判定部で前記低リスク対象者と判定し、かつ前記最低条件判定部で前記最低条件が満たされたと判定した場合、前記仮予約を確定する処理を行う予約処理部と、
     前記予約処理部の処理結果を出力する出力制御部とを備える診療予約管理システム。
    In a medical appointment management system comprising a biometric sensor used for a subject who needs to monitor health status, and a medical appointment management device installed on a network and managing a medical appointment of the subject,
    The medical appointment management device includes:
    A provisional reservation accepting unit for accepting a provisional reservation of the medical appointment;
    A measurement data receiving unit for receiving measurement data of the subject's biological information;
    Based on the measurement data, a recommended condition determination unit that determines whether a recommended condition that is a measurement condition of the biological information recommended for measurement is satisfied,
    Based on the measurement data, a minimum condition determination unit that determines whether or not a minimum condition that is a measurement condition of the biological information necessary for medical treatment is satisfied,
    A subject determination unit that determines whether the subject is a high-risk subject who has a high risk of symptom severity, or a low-risk subject that has a lower risk than the high-risk subject; and
    A reservation processing unit that performs processing related to the medical appointment, and when the recommended condition determination unit determines that the recommended condition is satisfied, and when the target person determination unit determines the low risk target person, and the minimum condition If the determination unit determines that the minimum condition is satisfied, a reservation processing unit that performs a process of determining the provisional reservation;
    A medical appointment management system comprising: an output control unit that outputs a processing result of the appointment processing unit.
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