JP2007141165A - Reservation time guidance system, reservation time guidance method and program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To equalize the total number of visits between new patients and reserved patients. <P>SOLUTION: A reservation time guidance system has: a storage part which stores information regarding new patients in the past; an extraction part which extracts the information regarding the new patients in the past from the storage part; a new patient prediction part which predicts transition of the number of visits by new patients on a predetermined day based on the number of visits and visiting time of the new patients in the past extracted from the extraction part; and a reservation time guidance part which guides reservation period of time of reserved patients in order to equalize the total number of visits between the predicted number of visits of the new patients and the number of visits of the reserved patients in each medical examination period of time on the predetermined day, based on the prediction result of the new patient prediction part. <P>COPYRIGHT: (C)2007,JPO&INPIT

Description

  The present invention relates to a reservation time guidance system, a reservation time guidance method, and a program.

  In general, when receiving a medical examination at a hospital, make a reservation in advance for patients other than the first patient who does not need a medical appointment (hereinafter referred to simply as an appointment), and visit the hospital using the reserved time as a guide. It has become. Hereinafter, a patient who makes a reservation and visits the hospital is referred to as a reserved patient.

As a system related to a reservation at a hospital, a system that manages reservation registration and reservation information by using a computer such as a personal computer or a workstation is known. In addition, a method is also known in which a remote reservation is made to a personal computer or workstation in a hospital from a computer or mobile phone at a patient's home, for example, via the Internet.
JP 2001-306690 A

  Since the first visit patient visits without making a reservation, the number of visits is difficult for the hospital (for example, a doctor), and conventionally, the number of visits of the first visit patient has not been taken into account when making reservations for the reservation patient. For this reason, even if the number of reserved patients is leveled when making a reservation, the variation in the total number of visits between the first visit patient and the reservation patient has increased due to the visit of the first visit patient. And, since the total number of visits varies, there is a problem that even if the patient is an appointment patient, the waiting time until the examination may be increased.

  The present invention has been made in view of such a problem, and an object of the present invention is to provide a reservation time guidance system, a reservation time guidance method, and a program for leveling the total number of visits of a first visit patient and a reservation patient. There is.

  The invention for solving the above problems includes a storage unit that stores information related to a past initial medical examination patient, an extraction unit that extracts information related to the past initial medical examination patient from the storage unit, and the past extracted from the extraction unit. Based on the number of visits of the first visit patient and the visit time of the first visit, the first visit patient prediction unit that predicts the transition of the number of visits of the first visit patient on a given day, and each visit on the given day based on the prediction result of the first visit patient prediction unit A reservation time guide unit for guiding the reservation time period of the reserved patient for leveling the total number of visits between the predicted number of visits of the first visit patient in the time period and the number of visits of the reservation patient. Features. Based on the prediction result of the number of first-visit patient visits, it is possible to guide a reservation time zone for leveling the total number of visits between the first-visit patient and the reserved patient.

  In the reservation time guidance system, the extraction unit extracts information on a first visit patient on a predetermined day in the past month from the storage unit, and the first visit patient prediction unit is a first visit patient extracted by the extraction unit. Based on the number of visits and the visit time, the transition of the number of visits of the first visit patient on the same day as the predetermined day after the current month may be predicted.

  Further, in the reservation time guidance system, the extraction unit extracts information on a first visit patient on a predetermined day of the past month from the storage unit, and the first visit patient prediction unit is a first visit patient extracted by the extraction unit. Based on the number of visits and the visit time, the transition of the number of visits of the first visit patient on the same day as the predetermined day after the current month may be predicted.

  Further, in the appointment time guidance system, the appointment time guidance unit determines the number of visits predicted by the first visit patient for each examination time zone on the predetermined day based on the prediction result of the first visit patient prediction unit. It is also possible to set a priority order with a smaller order, guide from each examination time zone on the higher priority side as a reserved time zone for the reserved patient, and register the reserved time zone for the reserved patient after guidance Good. By giving priority guidance from the time zone in which the number of first-visit patients is expected to be small, the total number of visits for first-patients and appointment patients can be leveled.

  In particular, in the appointment time guidance system, the appointment time guidance unit determines whether or not the number of registered patients in each examination time zone reaches the number of hospital staffs available in each examination time zone. When the number of registered registered patients in each examination time zone reaches the number that can be handled by hospital staff in each examination time zone, it is preferable to guide the examination time zone of the next priority. . Thus, for example, even when there is a change in the number of doctors due to the absence of the doctor in charge on the day of the reservation, the reservation time zone can be guided in consideration of that. In addition, the waiting time for accounting and medication is shortened by considering the number of responders according to the working status of the employee in charge of accounting and the pharmacist in charge of medication, for example.

  The invention for solving the problem is a reservation time guidance method of a reservation time guidance system for guiding a reservation time for a reserved patient, the step of extracting information on past examination patients from a storage unit; Based on the number of visits and visit times of the past first visit patients to be extracted, predicting the transition of the number of visits of the first visit patients on a predetermined day, and on the basis of the prediction result, And a step of guiding a reservation time zone of the reserved patient in order to equalize a total number of visits of the predicted number of visits of the first visit patient and the number of visits of the reserved patient.

  Further, the invention for solving the above-mentioned problems is extracted with a procedure for extracting information on a past first visit patient from a storage unit in a computer that controls a reservation time guidance system for guiding a reservation time for a reservation patient. Based on the number of visits and visit times of the previous first visit patient, a procedure for predicting the transition of the number of visits of the first visit patient on a predetermined day, and on the basis of the prediction result, And a procedure for guiding the reservation time zone of the reserved patient for leveling the total number of visits between the predicted number of visits and the number of appointment patient visits.

  ADVANTAGE OF THE INVENTION According to this invention, the reservation time slot | zone for equalizing the total number of visits of a first visit patient and a reservation patient can be guided.

  At least the following matters will become apparent from the description of the present specification and the accompanying drawings.

=== Overall structure ===
FIG. 1 is a diagram showing a reservation time guidance system according to the present embodiment. As shown in FIG. 1, the reservation time guidance system includes an employee terminal 20, a reception terminal 30, a doctor terminal 40, a server device 50, and a reservation terminal 60. The patient terminal 10 can communicate with the server device 50 via the Internet 70, for example. This makes it possible to make a reservation from a remote location (for example, the patient's home).

  The patient terminal 10 and the employee terminal 20 are computers such as personal computers, for example. The reception terminal 30, the doctor terminal 40, and the reservation terminal 60 are computers such as a personal computer, a workstation, and a set top box, for example. The server device 50 is, for example, a computer such as a personal computer or a workstation. In addition, the employee terminal 20, the reception terminal 30, the doctor terminal 40, the server device 50, and the reservation terminal 60 are installed inside the hospital and are connected to be communicable with each other by, for example, a LAN. The LAN is connected to the Internet 70, and the patient terminal 10 can communicate with at least the server device 50 via the Internet 70.

  The reception terminal 30 performs reception processing when a patient visits a hospital, and registers information related to the patient such as reception time, first visit or revisit (hereinafter referred to as reception history information) in the server device 50. Send an acceptance history registration request.

  The doctor terminal 40 is operated by a doctor who examines the patient, and the examination for registering information (hereinafter referred to as examination history information) related to the examination such as the start time and end time of the patient examination in the server device 50. Send a history registration request. Further, the doctor terminal 40 can confirm information related to the reservation from a reservation information registration unit 513 (reservation time guide unit) described later.

  The employee terminal 20 is used by hospital employees (for example, doctors, nurses, pharmacists, and office workers), and registers employee work information in the work management database 556 of the server device 50. In addition, the employee terminal 20 transmits to the server device 50 a predicted patient number acquisition request for acquiring a predicted value of the number of first-visit patients who visit the hospital. In the predicted patient number acquisition request, a prediction target date and a target time zone (in this embodiment, every hour) are set. The reservation patient number acquisition request is transmitted in accordance with an instruction from an employee who operates the employee terminal 20.

  The reservation terminal 60 is used, for example, when a patient makes a reservation in a hospital.

  The server device 50 includes a reception history registration request receiving unit 511, a medical history registration request receiving unit 512, a reservation information registration unit 513, a weather information registration unit 514, a total information registration unit 515, a patient number prediction unit 520, and a predicted patient number acquisition request. Each function unit of the reception unit 521 and the predicted patient number acquisition transmission unit 522 and each database (storage unit) of the reception history database 551, the examination history database 552, the reservation database 553, the weather database 554, and the work management database 556 are provided. .

  Reception history information is registered in the reception history database 551. FIG. 2 shows an example of reception history information registered in the reception history database 551. As shown in FIG. 2, the reception history information includes information indicating the date the patient came to the hospital, the reception number, the patient ID, the ID of the doctor who examines the patient, the reception time, and the reception form (first visit or appointment). Yes.

  The reception history registration request receiving unit 511 receives the reception history registration request transmitted from the reception terminal 30 and registers the reception history information in the reception history database 551 together with the received reception history request.

  The examination history database 552 registers examination history information. FIG. 3 shows an example of medical history information registered in the medical history database 552. As shown in FIG. 3, the examination history information includes the date of the examination, the doctor ID of the doctor in charge of the examination, the patient ID of the patient who received the examination from the doctor, the examination start time, and the examination end time.

  The diagnosis history registration request receiving unit 512 receives the diagnosis history registration request transmitted from the doctor terminal 40 and registers the diagnosis history information in the diagnosis history database 552 together with the received diagnosis history registration request. In addition, it is possible to calculate the waiting time from the reception of the patient to the diagnosis from the diagnosis start time of the diagnosis history information and the reception time of the reception history information (waiting time = diagnosis start time−reception time).

  The reservation database 553 registers information related to reservation (hereinafter referred to as reservation information). FIG. 4 shows an example of reservation information registered in the reservation database 553. As shown in FIG. 4, the reservation information includes a reservation date, a reservation time zone, a doctor ID of a doctor who is in charge of the examination, and a patient ID of the reserved patient.

  In the weather database 554, weather information relating to weather forecasts, weather measurement values, and the like is registered. FIG. 5 shows an example of weather information registered in the weather information database. As shown in FIG. 5, the weather information registered in the weather information database includes date, time zone, weather in the time zone, maximum temperature, and minimum temperature. As the weather, for example, any one of sunny, cloudy, rainy, and snow is registered. In the present embodiment, the weather information in the weather information, the maximum temperature, and the minimum temperature are assumed to be a mixture of future forecast data by forecast and past measurement data by measurement. The past measurement data may be managed as separate databases.

  The weather information registration unit 514 acquires, for example, weather information by accessing a server of a weather company that provides weather data, and registers the acquired weather information in the weather database 554.

  In the total database 555, information (hereinafter referred to as total information) obtained by totaling the above-described reception history information and weather information is registered. FIG. 6 shows an example of total information registered in the total information database. As shown in FIG. 6, the total information includes the date, the day of the week corresponding to the date, the time zone, the weather and the maximum and minimum temperatures in the date and time zone, and the visit patient who combines the first visit patient and the reserved patient. Number, first visit patient number, reservation patient number.

  The total information is periodically registered by the total information registration unit 515. In this embodiment, the total information registration unit 515 creates total information, for example, every hour by using the immediately preceding time zone as a total time zone to be registered, and registers the total information in the total database 555.

  The patient number prediction unit 520 (extraction unit and first visit patient prediction unit) extracts information related to the number of past first visit patients from the total database 555, and predicts the number of first visit patients based on the extracted total information. Details of the process for predicting the number of first-visit patients will be described later.

  The predicted patient number acquisition request receiving unit 521 receives the predicted patient number acquisition request transmitted from the employee terminal 20.

  As will be described later, the reservation information registration unit 513 creates reservation candidates that prioritize each reservation time period in a reservationable period (for example, one day) from the prediction result of the patient number prediction unit, and the reservation terminal 60 or When there is an instruction from the patient terminal 10 to register a reservation, guidance is provided from the reservation time zone on the higher priority side. The reserved time zone is, for example, a future medical examination time zone (in this embodiment, an interval of 10 minutes) that is a guide when one patient visits. Then, the reservation time zone determined after the guidance is registered in the reservation database 553.

  The predicted patient number acquisition / transmission unit 522 outputs the predicted value of the number of first visit patients predicted by the patient number prediction unit 520 to the employee terminal 20.

  In the work management database 556, work information (scheduled work) of doctors and hospital employees is registered. FIG. 7 shows an example of work information scheduled for work registered in the work management database 556. As shown in FIG. 7, the work management information includes date, employee ID, affiliation, and scheduled work time. This work information is input from the employee terminal 20.

=== Prediction of the number of first visit patients ===
The number-of-patients prediction unit 520 determines the number of first-visit patient visits (hereinafter referred to as the number of first-visit patients) based on the past information of first-patients registered in the aggregation database 555 calculated by the aggregation information registration unit 515. ). FIG. 8 shows an example of a flowchart of the process of predicting the number of first-visit patients by the patient number prediction unit 520.

  First, as a premise, it can be considered that the behavior pattern of the first visit patient on the same day is substantially the same due to the relationship between company work and holidays. Therefore, the patient number predicting unit 520 reads the total information corresponding to the date of the same day of the previous week that is closest to the day of the week determined from the date to be predicted from the total database 555, and sets the number of first visit patients of the read total information to n1. (S101). Of the total information registered in the total database 555, the patient number predicting unit 520 has the same month in the past as the prediction target date, the same day in the past, and the weather and the maximum temperature. Then, the weather and the highest temperature of the read weather information are extracted (S102). In the present embodiment, it is assumed that the number of extractions in step S102 is plural (for example, five). The number-of-patients prediction unit 520 calculates the number of first-patients for each date from the extracted total information (S103), and the calculated number of first-patients is within a predetermined range centered on n1 (eg, ± Identify what is in about 5 people). In the present embodiment, it is assumed that three dates are identified as dates within the predetermined range centered on n1 among the five extracted dates (S104).

  The patient number prediction unit 520 calculates the calculated initial visit patient number as n2 for each of the specified three dates (S105), and calculates the quotient of n1 and n2 as a correction coefficient (S106). The patient number predicting unit 520 calculates the number of first visit patients for each time zone (for example, one hour) of the total information corresponding to the date from the total database 555 (S107), and multiplies the calculated number of first visit patients by a correction coefficient. The number of corrected first visit patients is calculated (S108).

  The patient number predicting unit 520 calculates an average value of the corrected first visit number of patients in the same time period corresponding to the three identified dates and sets it as a predicted value of the first visit number of patients (S109).

  In the prediction process described above, the number of first visit patients on the same day of the week and the ratio of the number of first visit patients on the previous date in the same season and weather are used to correct the predicted value of the number of first visit patients. Precise prediction can be performed. Note that the number of first visit patients may be predicted without correction. In this case, the processing of step S105 to step S108 is omitted, and the average value of the number of first visit patients of the total information corresponding to the date specified in step S104 is calculated as the predicted value of the number of first visit patients.

  In the present embodiment, three dates that are the number of visiting patients close to n1 are specified in step S104. However, if the specified date is other than three, steps S105 to S105 are performed for the specified date. The process of step S108 may be performed similarly. If the date specified in step S104 is one day, the processing in steps S105 to S108 is omitted, and the number of first-patients in each time zone on the specified date is directly predicted for each time zone. Value.

  In step S102, the maximum temperatures do not completely coincide with each other. For example, the maximum temperature may be selected within a predetermined range such as ± 5 degrees.

  In this way, the patient number prediction unit 520 can calculate the prediction of the number of first-visit patients for each time period, taking into account past dates, days of the week, weather conditions, and the like. Therefore, it is possible to make predictions with higher accuracy than the rules of thumb of hospital employees.

  Further, the process for predicting the number of first-visit patients is not limited to the method described above. For example, it can be considered that the behavior pattern of the first visit patient becomes substantially equal on the same date. Therefore, the date to be predicted in step S102 of FIG. 8 is the same date in the past, and the total information in which the weather and the maximum temperature are the same is read, and the same day of the week shown in FIG. Similarly to the method obtained in the flow of, the transition of the number of first-visit patients may be predicted. In this way, the number of visits to the patient on the same day after the current month can be predicted from the data on the number of patients on the same day in the past month.

  FIG. 9 is an example showing the transition of the number of first-visit patients predicted by the patient number prediction unit 520. A predicted value of the number of first visit patients per hour is calculated by the patient number prediction unit 520. According to the figure, the predicted number of first-visit patients is the largest at 10:00 and 15:00 and the smallest at 12:00 and 16:00. Further, for example, the calculated prediction data for the number of first-visit patients (hereinafter referred to as first-patient number prediction data) is classified by the reservation information registration unit 513 as the number of persons for each reservation time period. In the present embodiment, as shown in FIG. 9, the reserved time zone is 10 minutes, and 1 hour is divided into 10-minute intervals. The reserved time zone may be other than 10 minutes (for example, every 5 minutes or 20 minutes).

  In this way, it is possible to calculate the predicted number of first-visit patients in each appointment time slot. Then, based on the predicted number of first-visit patients, the reservation information registration unit 513 creates reservation candidates in which priorities are set in order from the examination time zone where the predicted number of first-visit patients is small. In addition, when there are a plurality of reserved time zones in which the predicted number of first-visit patients is equal, for example, the reserved time zone closer to the date of reservation is set with priority.

=== Reservation candidate ===
FIG. 10 is a diagram showing an example of reservation candidates created by the reservation information registration unit 513 according to the embodiment of the present invention. FIG. 10A shows a state where no reservation has been made yet, and FIG. 10B shows a state where a reservation has been made to some extent. In this embodiment, the hospital has a plurality of departments.

  As shown in FIGS. 10A and 10B, reservation candidates include data indicating each department, priority, reservation time zone, reservation status, number of reservations, number of reservations, and the like. The number of people who can be reserved in this appointment candidate varies depending on the attendance status of the doctor in each examination time zone of the work management data obtained from the work management database 556, for example. For example, the number of people that can be reserved in FIG. 10 is obtained by subtracting the predicted number of first-visit patients in the same time zone in FIG.

  The reservation information registration unit 513 creates reservation candidates as shown in FIGS. 10A and 10B, and transmits them to the reservation terminal 60, the patient terminal 10, and the doctor terminal 40. The reservation terminal 60, the patient terminal 10, and the doctor terminal 40 can display the reservation candidates on the screen.

  In addition, the reservation time zone where the reservation is filled in the reservation candidate is displayed in a color different from the display color of the reservation time zone that can be reserved, for example, so that it can be distinguished from the reservation time zone that can be reserved. For example, in FIG. 10B, reservation time zones of 11:50 to 12:00 and 14:30 to 14:40 indicate that the reservation is filled and reservation is not possible. As shown in FIG. 10B, the reservation time zone having a lower priority than the reservation time zone having a higher priority (for example, priority 2), depending on the number of people that can be reserved and the patient's reservation selection. Reservations may be filled in.

  In addition, a reservation time zone (for example, a time zone of priority 2 in FIG. 10B) in which the number of reservations is close to the number of people that can be reserved may be displayed in a color that can be distinguished from other reservation time zones. This makes it easier to recognize the reservation status in each reservation time zone.

=== Reservation information processing ===
Hereinafter, a reservation guidance process by the reservation information registration unit 513 will be described with reference to FIGS. 11 and 12. FIG. 11 is a flowchart showing reservation guide processing by the reservation time guide system according to the embodiment of the present invention. FIG. 12 is a diagram illustrating an example of a screen displayed on the reservation terminal 60 or the patient terminal 10.

  First, when making a reservation, the reservation screen displayed on the reservation terminal 60 or the patient terminal 10 is as shown in FIG. The desired date of visit, patient ID, and department are entered on this screen by the patient. The reservation information registration unit 513 receives a signal indicating the reservation date from the reservation terminal 60 or the patient terminal 10 (S201), and acquires the first visit patient number prediction data on the received reservation date from the patient number prediction unit 520 (S202). .

  The reservation information registration unit 513 calculates the predicted number of people for each reservation time period (for example, every 10 minutes) from the predicted number of first visit patients, for example, from the relationship of the predicted number of first visit patients at each hour for each hour (S203). ), Reservation candidates with higher priorities are created in descending order of predicted first-visit patient visits (S204).

  The reservation terminal 60 or the patient terminal 10 displays a screen for confirming whether or not to make a reservation using reservation candidates as shown in FIG. 12B, and either one is selected by the patient.

  The reservation information registration unit 513 determines whether the reservation selected using the reservation terminal 60 or the patient terminal 10 is a reservation using reservation candidates (S205). When it is determined that the reservation is not a reservation using a reservation candidate (S205: No), the reservation terminal 60 or the patient terminal 10 displays a screen as shown in FIG. By inputting the desired time on this screen, the reservation information registration unit 513 receives the desired time of the patient (S206), and determines whether or not a reservation can be made at the received desired time of the patient (S207). When it is determined that the reservation is not possible (S207: No), the reservation reception terminal 60 or the patient terminal 10 is notified that the reservation cannot be made in the desired time zone (S208). A screen as shown in FIG. 12D is displayed on the reservation receiving terminal 60 or the patient terminal 10. The reservation information registration unit 513 receives the next desired time input to the reservation terminal 60 or the patient terminal 10 (S209). And step S207 which discriminate | determines whether reservation is possible is performed again.

  When it is determined in step S207 that reservation is possible (S207: Yes), a reservation confirmation screen as shown in FIG. 12E is displayed on the reservation receiving terminal 60 or the patient terminal 10. When the determination is clicked on this screen, the reservation information registration unit 513 registers the reservation information in the reservation database 553 (S213), and transmits the reservation information to the reservation terminal 60 or the patient terminal 10 (S214). The reservation information registered is displayed on the reservation terminal 60 or the patient terminal 10.

  If it is determined in step S205 that a reservation using a reservation candidate is selected (S205: Yes), priority 1 (= n) of the reservation candidate in FIG. 10 is selected (S210), and the time slot is reserved. It is determined whether or not it is possible (S211). If it is determined that the reservation is not possible (S211: No), the priority is set to n = n + 1 (S212), and step S211 is executed again.

  When it is determined that the reservation is possible (S211: No), the selected time zone is guided by displaying the screen of FIG. Then, after confirming the patient, the reservation information guided to the reservation information database is registered (S213), and the reservation information is transmitted to the reservation terminal 60 or the patient terminal 10 as shown in FIG. 12 (f) (S214).

  When the patient clicks “display reservation candidate” in FIGS. 12C and 12D, the reservation candidates shown in FIG. 10A or 10B are displayed on the screen. You may do it. And a reservation time slot | zone may be selected by the patient clicking a desired reservation time slot | zone displayed on this screen. By doing so, the patient can easily select a desired examination time zone while confirming the reservation status.

  In this embodiment, the reservation period to be reserved is set to 1 day, and the priority is set in the reservation time zone of the 1 day. However, the reservation period is multiple days (for example, 3 days). In some cases, priorities are sequentially set from the reserved time zones on the plurality of days.

  In addition, when there are multiple departments in the hospital as described above, a reservation candidate is created for each department, and each reservation candidate is used to guide the reservation time period. We can guide reservation time zone to equalize the total number of visits. In addition, even when there is only one hospital, by creating reservation candidates that do not consider the department in FIG. 10, similarly guide the reservation time zone for equalizing the total number of visits of the first visit patient and the reservation patient can do.

  In this way, by considering the prediction of the number of visits for the first visit patient, it is possible to guide the reservation time zone for leveling the total number of visits for the first visit patient and the reservation patient. Thus, when the total number of visits is leveled, for example, the waiting time until the examination is shortened. In addition, congestion in waiting rooms and parking lots will be eased, and patients will be able to visit the hospital with peace of mind. Furthermore, for the doctor, it is possible to handle the examination smoothly, and for example, preparations such as confirming the patient's medical chart in advance with respect to the reserved patient can be made.

=== Other Embodiments ===
FIG. 13 is a flowchart showing reservation guidance processing by the reservation time guidance system according to another embodiment of the present invention. Note that steps S301 to S312 shown in FIG. 13 are the same steps respectively corresponding to steps S201 to S212 shown in FIG. Step S316 corresponds to step S213, and step S317 corresponds to step S214. Therefore, description of steps S301 to S312 and steps S316 and S317 is omitted.

  When the reservation information registration unit 513 determines in step S311 that the reservation is possible (S311: Yes), the reservation information registration unit 513 refers to the reservation database 553 and calculates the total number of registered patients in each department in the same reservation time zone. (S313). And it is discriminate | determined whether the total of the registration number of the calculated reservation patient has not reached the number of the hospital staff who can respond (S314). Here, hospital personnel are, for example, doctors, nurses, pharmacists, office workers, etc., and the number of hospital personnel that can be handled corresponds to the number of employees scheduled to work at each appointment time zone. This is the number of patients who can visit the hospital. The number of employees scheduled to attend work is obtained from the work schedule registered in the work management database 555 shown in FIG. In addition, it is assumed that the number of people who can be handled by hospital staff excludes the number of people who can deal with first-time patients in advance.

  When it is determined that the total number of registrations of reserved patients has not reached the number of hospital staffs available (S314: Yes), the reservation information registration unit 513 selects the reservation time zone and stores reservation information in the reservation database 553. Step S316 for registering is executed.

  When it is determined that the total number of registered registered patients has reached the number of hospital staffs available (S314: No), the reservation information registering unit 513 performs step S312 in which n = n + 1 as shown in FIG. It is executed, and it is determined whether or not a reservation is possible in the reservation time zone (S311).

  By doing so, for example, even when the doctor in charge is absent on the reservation day and the number of patients that can be handled is reduced, the reservation time zone can be guided accordingly. In step S314, for example, by taking into account the number of employees depending on the working status of the accounting staff or the pharmacist in charge of medication, the waiting time for accounting or medication is reduced.

  The above-described embodiment is intended to facilitate understanding of the present invention, and is not intended to limit the present invention. The present invention is changed and improved without departing from the gist thereof, and the present invention includes equivalents thereof.

It is a figure which shows the reservation time guidance system which concerns on embodiment of this invention. It is a figure which shows an example of the reception history information registered into a reception history database. It is a figure which shows an example of the medical examination history information registered into a medical examination history database. It is a figure which shows an example of the reservation information registered into a reservation database. It is a figure which shows an example of the weather information registered into a weather database. It is a figure which shows an example of the total information registered into a total database. It is a figure which shows an example of the work schedule information registered into a work management database. It is a figure which shows the prediction process flow of the number of first-diagnosis patients by a patient number estimation part. It is a figure which shows transition of the first visit patient number predicted by the patient number prediction part. It is a figure which shows an example of the reservation candidate produced by the reservation information registration part. It is a flow which shows the guidance process of the reservation by the reservation time guidance system concerning embodiment of this invention. It is a figure which shows an example of the screen displayed on a reservation terminal or a patient terminal. It is a flow which shows the guidance process of the reservation by the reservation time guidance system concerning other embodiment of this invention.

Explanation of symbols

DESCRIPTION OF SYMBOLS 10 Patient terminal 20 Employee terminal 30 Reception terminal 40 Doctor terminal 50 Server apparatus 60 Reservation terminal 70 Internet 511 Reception history registration request reception part 512 Examination history registration request reception part 513 Reservation information registration part 514 Weather information registration part 515 Total information registration part 520 Patient number prediction unit 521 Predicted patient number acquisition request reception unit 522 Predicted patient number acquisition request transmission unit 551 Reception history database 552 Examination history database 553 Reservation database 554 Weather database 555 Total database 556 Work management database

Claims (7)

A storage unit for storing information on past first-patients;
An extraction unit for extracting information on the past first-patient from the storage unit;
Based on the number of visits and visit times of the previous first visit patients extracted from the extraction unit, a first visit patient prediction unit that predicts the transition of the number of visits of the first visit patients on a given day,
The reserved patient for leveling the total number of visits between the predicted number of visits of the first visit patient and the number of visits of the reserved patient based on the prediction result of the first visit patient prediction unit Reservation time guidance section to guide the reservation time zone,
Reservation time guidance system characterized by comprising: The extraction unit includes:
Extracting information about the first visit patient on a predetermined day of the past month from the storage unit,
The initial visit patient prediction unit
Based on the number of visits and visit time of the first visit patient extracted by the extraction unit, predict the change in the number of visits of the first visit patient on the same day as the predetermined day after the current month,
The reservation time guide system according to claim 1. The extraction unit includes:
Extracting information about the first visit patient on a predetermined day of the past month from the storage unit,
The initial visit patient prediction unit
Based on the number of visits and the visit time of the first visit patient extracted by the extraction unit, predicting the transition of the visit number of the first visit patient on the same day as the predetermined day after the current month,
The reservation time guide system according to claim 1. The reservation time guide part
Based on the prediction result of the first visit patient prediction unit, for each visit time zone on the predetermined day, set the priority order in which the number of visits predicted by the first visit patient is small,
As the appointment time zone of the appointment patient, guide from each examination time zone on the higher priority side,
Register the appointment time zone of the appointment patient after guidance,
The reservation time guide system according to claim 1. The reservation time guide part
It is determined whether or not the number of registered patients in each examination time zone reaches the number of hospital staff who can deal with each examination time zone,
When the number of registered patients in each examination time zone has reached the number of hospital staff who can handle each examination time zone, guide the examination time zone of the next priority,
The reservation time guidance system according to claim 4, wherein: A reservation time guide method of a reservation time guide system for guiding a reservation time to a reservation patient,
Extracting information about past examination patients from the storage unit;
Predicting the change in the number of first-patient visits for a given day based on the number of visits and visit times of the previous first-examined patient extracted,
Based on the prediction result, the reserved patient's reserved time period for leveling the total number of visits between the predicted number of visits of the first visit patient and the reserved patient's number of visits at each examination time period on the predetermined day A step to guide,
Reservation time guidance method of reservation time guidance system to execute. To the computer that controls the appointment time guidance system that guides the appointment time to the appointment patient,
A procedure for extracting information about past first-patients from the storage unit;
A procedure for predicting the transition of the number of first-visit patient visits on a given day based on the number of visits and visit times of the previous first-examined patient extracted,
Based on the prediction result, the reserved patient's reserved time period for leveling the total number of visits between the predicted number of visits of the first visit patient and the reserved patient's number of visits at each examination time period on the predetermined day The steps to guide,
A program for running

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