WO2011016447A1 - Automatic medical-inquiry system, automatic medical-inquiry program, and automatic medical-inquiry method - Google Patents
Automatic medical-inquiry system, automatic medical-inquiry program, and automatic medical-inquiry method Download PDFInfo
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- WO2011016447A1 WO2011016447A1 PCT/JP2010/063084 JP2010063084W WO2011016447A1 WO 2011016447 A1 WO2011016447 A1 WO 2011016447A1 JP 2010063084 W JP2010063084 W JP 2010063084W WO 2011016447 A1 WO2011016447 A1 WO 2011016447A1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
- G16H10/20—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for electronic clinical trials or questionnaires
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H70/00—ICT specially adapted for the handling or processing of medical references
- G16H70/60—ICT specially adapted for the handling or processing of medical references relating to pathologies
Definitions
- the present invention relates to an automatic inquiry system, an automatic inquiry program, and an automatic inquiry method in which an inquiry is automatically made from a communication terminal via a communication network.
- Patent Document 1 Patent Document 1: No. 2003-30325. According to this patent document, the user can reserve the nearest medical institution that suits his / her symptoms from the terminal device.
- Patent Document 2 Japanese Patent Laid-Open No. 2003-256580. According to this patent document, since a hospital having a medical subject suitable for the user's subjective symptoms is specified and information is provided, efficient consultation and diagnosis are possible for both the user side and the hospital side.
- each question in the first question group is read from the database, and there is a possibility of being affected by referring to the first relational value in the database in accordance with the diagnosis subject's answer to each question in the first question group Identify one or more illnesses, read each question in the second question group from the database, and refer to a second relational value based on an answer to each question in the second question group, the identified A diagnostic apparatus for calculating a score indicating the morbidity of each disease has been proposed (Patent Document 3: Japanese Patent Application Laid-Open No. 2004-126981). According to this patent document, it is possible to quantitatively analyze and accurately specify a disease that is considered to be affected by the diagnosis subject.
- Patent Document 1 it is described that the user analyzes a completed questionnaire and searches for the nearest medical institution that matches the user's symptoms. There is no specific description on how to analyze it.
- Patent Document 2 a plurality of question items are included (according to the description of the embodiment of the invention, paragraph number 0023, about 10 to 20 question items). Instead of asking for it, it is only necessary to determine the medical subject. " However, the specific system of the interview is not shown.
- the person to be interviewed responds to the inquiry using a communication terminal such as a mobile phone, so the screen size is limited and the operability and convenience of input are compared. It must be considered that the environment is low. Furthermore, troublesome operations are a problem that must first be avoided for elderly people who are unfamiliar with input operations and users who are unwell in the first place. However, in the prior art, the point related to the input operation is not always considered.
- initial inquiry when a doctor makes an inquiry to a patient for the first time (hereinafter referred to as “initial inquiry”), there is a boundary region called “gray zone” for a disease determined as an inquiry result. That is, there is a probability (sensitivity) that is accurately judged positive for a certain disease and a probability (specificity) that is judged negative exactly, and about 90% of the disease names that are judged in the first inquiry It is said that it should be possible to judge within a range of ⁇ 96%. About 2% to 5% before and after this range (parts that deviate from sensitivity are called “false positives” and parts that deviate from specificity are called “false negatives”). However, the possibility that it is actually positive cannot be denied.
- the present invention is based on the essence of the initial inquiry and the limitations of the inquiry, and is intended to speed up the convenience of the person being interviewed and the face-to-face medical care by the doctor, and to improve the efficiency of the whole medical care, automatic inquiry
- the purpose is to provide a program and an automatic inquiry method.
- the automatic inquiry system receives an inquiry request from a communication terminal via a communication line network, displays an inquiry form on the communication terminal, and inputs data inputted by the communication terminal to the inquiry form. Based on this, an automatic inquiry system including a server that generates inquiry result data and displays the inquiry result data on the communication terminal.
- the server includes first interrogation data storage means storing a part on the body or upper symptom, and symptoms observed at each part of the first interrogation data storage means or intermediate symptom corresponding to the upper symptom.
- the medical questionnaire generating means for reading out the medical interview data and generating the medical questionnaire, a disease name / medical subject data storage means that associates a disease name with a medical subject name that can be examined for the disease name, It includes an inquiry result generating means for reading out a disease name / medical subject name corresponding to the input data from the disease name / medical subject data storage means and generating inquiry result data.
- the interview form generating means reads out the interview data from the first interview data storage means to generate a first interview form, and corresponds to the first input data for the first interview form from the second interview data storage means.
- the medical data is read to generate a second medical questionnaire, and the medical data corresponding to the second input data for the second medical questionnaire is read from the third medical data storage means to generate the third medical questionnaire.
- the inquiry result generation means reads the disease name / medical subject name based on the third input data for the third questionnaire.
- the inquiry data of this system is composed of 3 layers.
- the initial interview in face-to-face medical care performed by a doctor is also carried out by sequentially performing three levels of interviews. Therefore, for the doctor, the routine interview is completed before the face-to-face medical care by using this system.
- the response to the inquiry performed via the communication terminal may be performed by responding to the three questions in the three layers.
- a weight may be given to each disease name according to the content of the third input data.
- the coefficients may be added.
- the disease name and medical subject name displayed as the inquiry result may be equal to or greater than a predetermined threshold.
- the attribute data may be digitized to increase or decrease the coefficient to increase the weighting accuracy.
- hospital information capable of medical treatment corresponding to the medical subject name may be displayed in correspondence with the displayed medical subject name.
- reservation input form data may be included in the hospital information so that a reservation can be made through the communication terminal from the displayed hospital information.
- the disease names and the corresponding hospital information may be displayed in descending order of the coefficients.
- these hospital information may be rearranged according to a predetermined sort condition. This sort condition includes, for example, narrowing down and displaying only hospital information including matching information with a keyword input from the communication terminal.
- the diagnosis result data of the hospital that has been consulted is transmitted along with the transmission of the reservation data. May be transferred.
- the inquiry result data may be output including product or service information related to the read disease name / clinical subject data.
- This product / service information includes purchase / application input form data for transmitting product purchase data and service application data via the communication line network from the communication terminal on which the product / service information is displayed. It may be included.
- the inquiry result data may be generated based on related product or service information.
- a program that causes a computer to function as each of the above servers is also included in the scope of the present invention.
- the automatic inquiry method accepts an inquiry request from a communication terminal via a communication line network, displays an inquiry form on the communication terminal, and inputs data input by the communication terminal to the inquiry form.
- This is an automatic inquiry method in which inquiry result data is generated and this inquiry result data is displayed on the communication terminal.
- the terminal receiving the third input data selected from the lower symptom at the communication terminal with respect to the third questionnaire, and the previously listed third questionnaire Stores the disease name and medical subject name data corresponding to the lower symptom, reads the disease name and medical subject name corresponding to the third input data, and inquires about the read disease name and medical subject name And transmitting to the communication terminal as result data.
- the disease name is weighted with a coefficient indicating the possibility of morbidity for each third input data, and when the disease name and the subject name are read, the coefficient is also read and included in the inquiry result data. .
- the coefficients When a plurality of coefficients are added to the read disease name by the third input data in which a plurality of selections are made from the lower symptom, the coefficients may be added to each coefficient and displayed in the inquiry result data. Good.
- a predetermined threshold may be provided for the coefficient, and the inquiry result data may be displayed only when the read coefficient or the added coefficient is equal to or greater than the predetermined threshold.
- the input operation is normally performed by narrowing down to the contents of the initial inquiry level in face-to-face medical care performed by a doctor, and collecting and classifying the inquiry items to be inputted by the person to be examined in three layers. This simplifies and improves convenience, and reduces the time required for doctors' interrogation, thereby speeding up face-to-face medical treatment by doctors and improving the efficiency of medical treatment in general.
- FIG. 1 is a block diagram of an automatic inquiry system according to the present invention.
- FIG. 2 is a block diagram of the server according to the first embodiment.
- FIG. 3 is a view showing a display example of the first to third questionnaires.
- FIG. 4 is a diagram showing a display example of an inquiry result.
- FIG. 5 is a block diagram of a server according to the second embodiment.
- FIG. 6A is a diagram showing a coefficient table
- FIG. 6B is a diagram showing a coefficient calculation table.
- FIG. 7 is a diagram showing a display example of an inquiry result with a coefficient.
- FIG. 8 is a diagram showing a processing flow for generating an inquiry result.
- FIG. 9 is a block diagram of a server according to the third embodiment.
- FIG. 9 is a block diagram of a server according to the third embodiment.
- FIG. 10 is a diagram showing a display example of an inquiry result with a hospital list.
- FIG. 11 is a diagram showing a display example of a hospital reservation form.
- FIG. 12 is a diagram showing a display example of a screen for sorting the hospital list.
- FIG. 13 is a block diagram of a server according to the fourth embodiment.
- FIG. 14 is a diagram showing an outline of the feedback processing step.
- FIG. 15 is a block diagram of a server according to the fifth embodiment.
- FIG. 16 is a diagram showing a display example of an inquiry result accompanied with product / service information.
- the server 1 of the automatic inquiry system is communicably connected to a plurality of communication terminals (three mobile phones m1 to m3 in this embodiment) via a communication line network (in this embodiment, the Internet network N). ing.
- a communication line network in this embodiment, the Internet network N.
- the communication terminal is not limited to this.
- the number of communication terminals is not limited to three.
- the server 1 and the portable terminals m1 to m3 are connected to a communication terminal h of a predetermined hospital and a communication terminal s of a store that sells products and accepts services through a network N. ing.
- an inquiry request signal is transmitted from the mobile phones m1 to m3 (hereinafter collectively referred to as “mobile phone M”) to the server 1 via the Internet N
- an inquiry form is transmitted from the server 1 to the mobile phone.
- M is displayed, and a response to the inquiry form is input, so that the inquiry result is displayed on the mobile phone M from the server 1.
- This inquiry result also includes information on the hospital or store, and data communication between the mobile phone M, the hospital communication terminal h, and the store communication terminal s is also possible.
- FIG. 2 is a block diagram of the server 1.
- each function of the server 1 described in the first to fifth embodiments is executed by control, calculation, processing, and the like by a CPU (not shown) and a memory (not shown).
- the inquiry request from the mobile phone M is received by the transmission / reception unit 101 of the server 1 via the Internet N, and the inquiry form generation unit 102 is requested to generate an inquiry form.
- the medical questionnaire generating unit 102 first reads out the medical data from the first medical data storage unit 103 to generate and generate the first medical questionnaire me1 (FIG. 3).
- One questionnaire form me1 is transmitted from the transmission / reception unit 101 to the mobile phone M via the Internet N and displayed.
- the first input data for the first questionnaire me1 is input from the mobile phone M, the first input data is received by the transmission / reception unit 101 via the Internet N.
- the second inquiry data corresponding to the received first input data is read from the second inquiry data storage unit 104, the second inquiry form me 2 (FIG. 3) is generated, and the generated second inquiry
- the vote me2 is transmitted from the transmission / reception unit 101 to the mobile phone M via the Internet network N and displayed.
- the second input data for the second questionnaire me2 is input from the mobile phone M, the second input data is received by the transmission / reception unit 101 via the Internet N.
- the third inquiry data corresponding to the received second input data is read from the third inquiry data storage unit 105, the third inquiry form me3 (FIG. 3) is generated, and the generated third inquiry form is generated.
- the vote me3 is transmitted from the transmission / reception unit 101 to the mobile phone M via the Internet N and displayed.
- third input data for the third questionnaire me3 is input from the mobile phone M
- the third input data is received by the transmission / reception unit 101 via the Internet N.
- the disease name and medical subject name corresponding to the received third input data are read from the disease name / medical subject name data storage unit 107, and the inquiry result generation unit 106 performs an inquiry based on the read disease name and medical subject name. Result data is generated.
- This inquiry result data is transmitted from the transmission / reception unit 101 to the mobile phone M via the Internet N and displayed.
- FIG. 3 shows a display example of the first inquiry form me1, the second inquiry form me2, and the third inquiry form me3.
- the first questionnaire me1 is a list in which each part on the body or higher-level symptoms can be selected on the screen. That is, in response to the question me11, “What is the bad part / symptom?”, The head, face, chest, belly, back, waist / butt, arms, and feet are listed as ⁇ part> me12.
- ⁇ Symptoms> of me13 include anemia, hot flashes, subfever, coldness, nausea, heartburn, palpitation / shortness of breath, abnormal digestion / appetite, obesity / overweight, sleep disorder, fatigue / malaise, mental distress, mental disorder It is enumerated. Since each part and symptom is provided with a radio button r, one part or symptom that is not suitable for the person to be examined is selected from the input key of the mobile phone M. In the present embodiment, the “head” is selected as a bad condition.
- the symptoms observed at the site selected in the first medical questionnaire me1 or the middle symptoms corresponding to the upper symptom are listed.
- an inquiry form listing the symptoms corresponding to the region “head” selected on the first inquiry form me1 is generated. That is, “Head” is displayed at the beginning of the part me21, and when the question me22 is “What is the symptom?”, The symptoms (headache, disturbance of consciousness, dizziness... muscle abnormality, etc.) that are recognized at this part are selected on the screen Each can be listed in a form with a radio button r attached. Then, as with the first questionnaire form me1, one symptom of the unwell part of the person to be examined may be selected from the input key of the mobile phone M. In the present embodiment, “headache” is selected as a symptom.
- the third questionnaire me3 subordinate symptoms obtained by subdividing each symptom of the second questionnaire me2 by degree are listed.
- “headache” selected as the second input data is displayed as the symptom me31 of the region at the beginning, and “there was a headache that suddenly hit the head” as the subordinate symptom me32 Symptoms such as “a headache occurs regularly”, “a headache continues for a long time”, and “the headache has become stronger for a while” are displayed.
- the third medical inquiry me3 unlike the first medical inquiry me1 and the second medical inquiry me2, a plurality of answers are possible, so a check box c is attached to each symptom.
- the person to be examined needs to be able to perform simple operations by simply selecting ones corresponding to the subjective symptoms from the three levels of questions (questions). It is easy to use and highly convenient for elderly people who are not familiar with it and those who are unwell. Furthermore, this three-level inquiry is generally the same as the inquiry procedure performed by the doctor during face-to-face medical care. Therefore, it is possible for the doctor to save or at least reduce the trouble of the initial inquiry. Interview results obtained through this three-level systematic interview are about 90% to 96% sensitivity or specificity, but are specified by a single test to increase the accuracy beyond that. Because it becomes a level that can not be, it will be a level that is not familiar with the initial interview.
- FIG. 4 shows a display example of the inquiry result sheet rs1 generated by the inquiry result generation unit 106 described in FIG. 2 and displayed on the mobile phone M based on the third input data for the third inquiry sheet me3.
- the opening column rs11 the contents of each input data with respect to the above-mentioned three levels of inquiry are displayed.
- the display “site: head, symptom: headache, degree: headache suddenly hitting the head, headache occurring at a fixed time in the night” is displayed.
- the disease name and medical subject name to be judged are read from the input data from the disease name / medical subject name data storage unit 107 described with reference to FIG. 2 and displayed.
- two cause columns rs12 and rs13 are displayed, and in each cause column, disease name rs121 “ ⁇ ⁇ syndrome”, rs131 “ ⁇ disease”, clinical course name rs122 “XXX department”, rs132 “ ⁇ ⁇ ” is displayed.
- FIG. 5 is a block diagram of the server 1 according to the second embodiment.
- the same components as those of the server 1 in the first embodiment are denoted by the same reference numerals, and detailed description thereof is omitted.
- the automatic inquiry system of FIG. 1 is also used in the second embodiment.
- each disease name can be estimated from the input data.
- the sex is shown quantitatively.
- Each disease name data read from the disease name / clinical subject name data storage unit 107 by the inquiry result generation unit 106 is given a coefficient indicating the possibility of morbidity corresponding to the symptom of the third input data, as will be described later. Yes. That is, as described above, a table with a predetermined coefficient weighted by the possibility of affliction of each disease name data is provided for each third inquiry data with a check box and a selection formula, and the disease name / Medical subject name data and this coefficient data are stored in association with disease name data. Therefore, this coefficient is also read and displayed in the inquiry result data generated by the inquiry result generation unit 106.
- a calculation unit 108 for adding the plurality of read coefficients is provided.
- the coefficient indicating the morbidity is a determination based on the symptom of the third input data, for example, when the person to be examined is a man, a disease name specific to a woman is displayed, or the person to be examined There is also a possibility that a disease name related to a site (for example, cecum) is displayed as a history.
- a disease name related to a site for example, cecum
- the coefficient of the disease name determined from the third input data is low, there are some that have to be given a high coefficient for those who have a specific constitution or history.
- the attribute data can be input from the mobile phone M, and this data is registered in the attribute data registration unit 109, and the calculation unit 108 calculates the coefficient.
- the attribute data of the subject to be examined may be read from the attribute data registration unit 109, and a predetermined numerical value may be increased or decreased with respect to the coefficient data.
- the numerical value to be increased or decreased may be set for each disease name in advance for predetermined attribute data.
- the registered attribute data and the third input data that is the basis for reading / adding the coefficient are, for example, when the person to be examined inputs a name, ID, etc. when making an inquiry request from the mobile phone M. If the data is linked via the input data, it can be read out.
- FIG. 6A shows a coefficient table t1
- FIG. 6B shows a coefficient calculation table t2.
- the coefficient table t1 has a third inquiry data column on the horizontal axis (for convenience, the third inquiry data is represented by numbers 1, 2, 3, 4, 5,... N), and a disease name data column on the vertical axis.
- the coefficient value for each third inquiry data is described in the data.
- the coefficient value is obtained by quantifying the probability of suffering from the disease from the symptom of the third inquiry data, and the coefficient value is “0” when there is no causal relationship between the symptom and the disease.
- it is desirable that at least the third inquiry data includes about 1000 items and the disease name data includes about 500 items.
- the coefficient value calculation expression column and the calculation result column correspond to the disease name data.
- the calculation formula for OO is the coefficient 10 of 1 and the coefficients 0 and 5 of 4
- the sum of the coefficients is 10 (that is, 10 + 0 + 10), and the calculation result is 20.
- the arithmetic expression of the disease name ⁇ ⁇ symptom is 0 + 0 + 0, the arithmetic result is 0, the arithmetic expression of the illness name ⁇ symptom is 0 + 30 + 0, the arithmetic result is 30, and the arithmetic expression of the illness name ⁇ ⁇ symptom is 20 + 10 + 10. And the calculation result is 40.
- Each calculation result is a coefficient for each disease name.
- FIG. 7 shows a display example of the inquiry result rs2 with the above coefficient.
- attribute data is used for generating an inquiry result
- attribute data rs21 is displayed below the beginning rs11.
- a coefficient “40” is displayed in addition to the disease name rs121 “ ⁇ ⁇ syndrome” and the clinical course name rs122 “XXX department”, and the disease name rs131 “ ⁇ disease”
- a coefficient “30” is displayed in addition to the subject name rs132 “ ⁇ family”.
- FIG. 8 is a diagram showing a processing flow for generating an inquiry result including the coefficient.
- the server 1 receives an inquiry request from the mobile phone M (S1)
- the server 1 transmits a first inquiry form me1 to the mobile phone M (S2).
- the radio button of the part / higher symptom where the subjective symptom of the person to be examined appears on the first inquiry form me1 is selected by the mobile phone M, and the first input data is transmitted to the server 1.
- the server 1 receives the first input data (S3), the server 1 generates a second questionnaire me2 corresponding to the first input data and transmits it to the mobile phone M (S4).
- the radio button of the middle symptom corresponding to the person to be examined is selected for the second medical questionnaire me2, and the second input data is transmitted to the server 1.
- the server 1 receives the second input data (S5)
- the server 1 generates a third questionnaire me3 corresponding to the second input data and transmits it to the mobile phone M (S6).
- the check box of the lower symptom corresponding to the person to be examined is selected for the third inquiry form me3 by the mobile phone M, and the third input data is transmitted to the server 1.
- the server 1 receives the third input data (S7), it reads the disease name, medical subject name, and coefficient corresponding to the selected third input data (S8).
- a threshold value to be displayed (the calculated coefficient is a level value to be displayed as a disease) may be provided, and it may be determined whether or not the calculated coefficient is equal to or greater than this threshold value (S13). . If the coefficient is less than the threshold value (No in S13), it is determined that the level of display as a disease has not been reached, the inquiry result data indicates that there is no relevant disease, and the mobile phone M is displayed. Transmit (S15).
- the coefficient is equal to or greater than the threshold (Yes in S13)
- the disease name and the medical subject name are specified (S14)
- the inquiry result data includes the specified disease name and the medical subject name together with the coefficient. It is displayed and transmitted to the mobile phone M (S15).
- FIG. 9 is a block diagram of the server 1 according to the third embodiment.
- the same components as those of the server 1 in the first embodiment are denoted by the same reference numerals, and detailed description thereof is omitted.
- the automatic inquiry system of FIG. 1 is also used in the third embodiment.
- a function of listing hospitals capable of performing medical treatment corresponding to the medical treatment subject name displayed in the inquiry result is added.
- the server 1 has a hospital information storage unit 110 that stores hospital information classified for each medical subject name, and in order to generate the inquiry result data in the inquiry result generation unit 106, the disease name / medical subject name
- the disease name / clinical subject name data is read from the data storage unit 107, and the hospital information related to the hospital capable of performing medical treatment corresponding to the read disease name / clinical subject name data is read from the hospital information storage unit 110.
- This hospital information includes hospital information such as the hospital name, location, and contact information.
- FIG. 10 is a view showing a display example of the inquiry result rs3 with the hospital list.
- the same items as those described in FIG. 4 are denoted by the same reference numerals, and detailed description thereof is omitted.
- the form image is different from the above rs1 and rs2, but this is in the form of a table due to an increase in the number of items to be written.
- rs1, rs2, rs3, and other inquiry results described later It is sufficient that the description items are covered, and the present invention is not limited to the form image shown in each embodiment.
- a hospital name is displayed together with a disease name, a medical subject name, and a coefficient. That is, the hospital name rs31 corresponding to the cause column rs12 and the hospital name rs32 corresponding to the cause column rs13 are described.
- the order in which the cause columns rs12 and rs13 are displayed may be random, but as shown in FIG. 10, it is preferable to pay attention to the coefficients 221 and 231 and display them in descending order of the coefficients. That is, if the disease name, medical subject name, and hospital name are displayed in descending order of the coefficients, the person being examined is displayed, for example, in the order of the most likely morbidity from the displayed disease names. It is possible to avoid useless doctor shopping because it is only necessary to go to the hospital where the hospital is located. In addition, since the list is displayed by the operation led by the person to be examined, the patient can be convinced to receive a medical examination.
- FIG. 11 shows an example in which a hospital reservation form is displayed from the inquiry result displayed on the mobile phone M.
- hospital names rs31 and rs32 are displayed in a hyperlinkable manner.
- the screen changes to a screen on which the reservation form rf1 is displayed.
- the reservation form data may be included in the hospital information.
- the filled reservation form data may be transmitted directly to the hospital communication terminal h (see FIG. 1) by pressing the transmission button.
- symbol is attached
- the diagnostic result data of this hospital that has been consulted can be sent together with the appointment of the next hospital to be consulted Also good.
- the attachment of the diagnosis result of the hospital that has already been consulted can be selected below.
- the diagnosis result data may be automatically added to the attribute data registration unit 109 described with reference to FIG. 5 as the past history of the person to be examined.
- the diagnosis result data may be received from the hospital communication terminal h via the server 1.
- FIG. 12 is a diagram showing a display example of a screen for sorting the hospital list.
- a plurality of hospital information may be read out for one cause column (namely, disease name).
- the hospitals may be displayed at random, but also rearranged from the mobile phone M according to a predetermined sorting condition.
- the hospital name rs31 and rs32 are displayed as “multiple” in the inquiry result rs5, and when this is designated by the mobile phone M, the sort screen st1 is displayed.
- a keyword may be input from a search form to list matching items.
- the one having both sort conditions is shown.
- the reservation form described in FIG. 11 may be displayed from the listed hospital names.
- the same items as those described in FIG. 4 are denoted by the same reference numerals, and detailed description thereof is omitted.
- the sort condition includes a list of neighboring hospitals based on the current location information using the GPS function, a list of hospitals adopting the reservation function provided in the system, and the system.
- Various things are possible, such as displaying hospitals that advertise in the form of tie-ups on the use of the Internet. Note that the price of this advertisement may be changed in an auction format depending on the department and region.
- the hospital information only the hospital name that can correspond to the read medical subject name is displayed as the hospital information. For example, when the hospital name is clicked, more detailed hospital information is displayed, You may make it jump to a homepage etc. Also, a bulletin board for patients and doctors and a word-of-mouth information registration function for hospitals may be provided.
- FIG. 13 is a block diagram of the server 1 according to the fourth embodiment.
- the same components as those of the server 1 in the first embodiment are denoted by the same reference numerals, and detailed description thereof is omitted.
- the automatic inquiry system of FIG. 1 is also used in the fourth embodiment.
- the diagnosis result data relating to the finally diagnosed disease name is received by the server 1, and this is compared with the disease name displayed in the inquiry result data to calculate the coincidence rate.
- a function of adding a matching rate to each disease name data together with the coefficient is added.
- the feedback processing unit 111 performs the process of calculating the coincidence rate from the reception of the diagnosis result data and assigning it to the disease name data in the disease name / clinical subject name data storage unit 107.
- FIG. 14 is a diagram showing an outline of processing steps performed in the feedback processing unit 111.
- the feedback processing unit 111 reads out the inquiry result data generated by the inquiry result generation unit 106 (S101) and receives final diagnosis result data (S102).
- the diagnosis result data may be received and received by the transmission / reception unit 101 from the hospital communication terminal h together with, for example, an indication that the final diagnosis result has been made. From both data, it is processed whether or not the disease names match (S103). At this time, not only whether the diagnosis result data and the diagnosis result data coincide with each other, but also the disease name finally determined by the diagnosis result data is displayed in descending order of the coefficients in the diagnosis result data.
- the matching rate is calculated by multiplying a predetermined coefficient depending on the number of the disease name that has been matched. For example, if the disease name displayed first in the descending order matches the disease name determined by the diagnosis result data, it is calculated as a match rate of 100%. However, the disease name displayed after the second descending order is diagnosed. If the disease data matches the disease name determined by the result data, the predetermined coefficient may be set so as to be 90%, 80%, etc. in order. When the coincidence rate is calculated, the coincidence rate may be stored so as to be displayed together with the coefficient of the disease name data in the disease name / clinical subject name data storage unit 107 (S104). Therefore, when the inquiry result data is generated next under the same conditions, the matching rate is also displayed. If the matching rate is extremely low or a new type of influenza, etc., the matching rate is regularly monitored and the coefficient is changed to improve the matching rate. A high system can be constructed.
- FIG. 15 is a block diagram of the server 1 according to the fifth embodiment.
- the same components as those of the server 1 in the first embodiment are denoted by the same reference numerals, and detailed description thereof is omitted.
- the automatic inquiry system of FIG. 1 is also used in the fifth embodiment.
- a function for displaying the product and service information related to the symptom from the inquiry result data together with or separately from the disease name, medical subject name, coefficient, and hospital information is added.
- the server 1 has a product / service information storage unit 112.
- the product / service related data related to the disease name / clinical subject name data When disease name / clinical subject name data is read from the disease name / clinical subject name data storage unit 107, the product / service related data related to the disease name / clinical subject name data / The service information is read from the product / service information storage unit 112 and the inquiry result data is output including the read product / service information.
- the product / service information to be read out may be associated with the disease name / clinical subject name data by the disease name data.
- FIG. 16 is a diagram showing a display example of an inquiry result accompanied with product / service information.
- the product / service information includes the hospital information and product information such as commercially available medicines, health foods, health goods, shiatsu services, yuji hot springs, health-oriented dishes, etc. Service information such as sports gyms may be provided. Further, as described in S13 of FIG. 8, in the case of a symptom whose coefficient is less than the threshold (so-called non-disease), even if the name of the disease in the interview result is “not applicable”, for providing some care information The products / services useful for improving the symptoms may be displayed. In the inquiry result rs6 of FIG. 16, the product / service information is displayed when there is no corresponding cause as the latter disease name.
- the product / service information included in the inquiry result data includes product purchase data and service application data via the Internet N from the mobile phone M on which the product / service information is displayed.
- Purchase / application input form data for transmission may be included. In this case, if the purchase / application input form is entered by the mobile phone M, the input data may be transmitted directly to the communication terminal s (see FIG. 1) of the store.
- Server 101 Transmission / reception unit 102: Questionnaire slip generation unit 103: First interview data storage unit 104: Second interview data storage unit 105: Third interview data storage unit 106: Interview result generation unit 107: Disease name / clinical subject Name data storage unit 108: operation unit 109: attribute data registration unit 110: hospital information storage unit 111: feedback processing unit 112: product / service information storage unit
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Abstract
Provided is an automatic medical-inquiry system that promotes the convenience of people subject to medical-inquiries, and a quicker face-to-face medical examination-treatment by doctors, and furthermore, makes medical-care in general more efficient. This automatic medical-inquiry system divides medical-inquiry data into three hierarchies, and transmits medical-inquiry sheets to mobile phones successively, in order to narrow down the symptoms to be assessed in the medical-inquiries. When receiving data inputted with respect to a third medical-inquiry sheet, the automatic medical-inquiry system will read out malady-name / subject-name of medical examination-treatment" data corresponding to this inputted data, and generate medical-inquiry result data based on this malady-name / subject-name of medical examination-treatment" data that was read-out.
Description
本発明は、通信端末から通信回線網を介して自動的に問診を行う自動問診システム、自動問診プログラム及び自動問診方法に関する。
The present invention relates to an automatic inquiry system, an automatic inquiry program, and an automatic inquiry method in which an inquiry is automatically made from a communication terminal via a communication network.
近年、携帯電話等の携帯通信端末の高機能化に伴い、この通信端末を利用した各種サービスが提案されている。医療分野においても、インターネット網等の通信回線網を介して前記通信端末で問診を行うシステムが多数提案されている。このようなシステムでは、前記通信端末から前記インターネット網を介して問診要求を受け付け、この通信端末に問診票を表示させ、この問診票に対して前記通信端末により入力された入力データに基づいて、問診結果データを生成し、この問診結果データを前記通信端末に表示させるサーバを備えている。
In recent years, various services using this communication terminal have been proposed along with the enhancement of functions of mobile communication terminals such as mobile phones. Also in the medical field, many systems have been proposed in which an inquiry is made with the communication terminal via a communication line network such as the Internet network. In such a system, an inquiry request is received from the communication terminal via the Internet network, an inquiry form is displayed on the communication terminal, and based on input data input by the communication terminal for the inquiry form, There is provided a server that generates inquiry result data and displays the inquiry result data on the communication terminal.
たとえば、ユーザ端末装置からの検索要求に基づいて、問診表をユーザ端末装置に送信し、記入済みの問診表を受信すると、これを分析してユーザの症状にあった最寄りの医療機関を検索し、検索結果をユーザ端末装置に送信し、このユーザ端末装置からの診療予約指示に基づいて、医療機関の端末装置に診療予約を行う医療機関の予約システムが提案されていた(特許文献1:特開2003-30325号公報)。この特許文献によれば、ユーザが前記端末装置から、自分の症状にあった最寄りの医療機関を予約することができる。
For example, based on a search request from a user terminal device, an inquiry table is sent to the user terminal device, and when a completed inquiry table is received, it is analyzed to find the nearest medical institution that meets the user's symptoms. A medical institution reservation system that transmits a search result to a user terminal device and makes a medical appointment in the terminal device of the medical institution based on a medical appointment instruction from the user terminal device has been proposed (Patent Document 1: Patent Document 1: No. 2003-30325). According to this patent document, the user can reserve the nearest medical institution that suits his / her symptoms from the terminal device.
また、利用者端末から自覚症状の入力があると、入力された自覚症状基づいて診療科目を検索し、検索された診療科目と前記利用者を診察できる病院を抽出し、この病院又は診療科目を特定する情報を前記利用者端末に送信する病院紹介システムが提案されていた(特許文献2:特開2003-256580号)。この特許文献によれば、利用者の自覚症状に適した診療科目を持つ病院を特定して情報を提供するので、利用者側、病院側双方にとって効率的な受診、診断が可能になる。
In addition, when there is an input of subjective symptoms from the user terminal, the medical subject is searched based on the input subjective symptoms, the searched medical subject and the hospital where the user can be examined are extracted, and this hospital or the medical subject is extracted. A hospital introduction system that transmits information to be specified to the user terminal has been proposed (Patent Document 2: Japanese Patent Laid-Open No. 2003-256580). According to this patent document, since a hospital having a medical subject suitable for the user's subjective symptoms is specified and information is provided, efficient consultation and diagnosis are possible for both the user side and the hospital side.
さらに、データベースから第1の質問群における各質問を読み出し、第1の質問群における各質問に対する被診断者の回答に応じて、データベースにおける第1の関係値を参照して罹患の可能性のある1または複数の疾病を特定し、データベースから第2の質問群における各質問を読み出し、第2の質問群における各質問に対する回答に基づいて、第2の関係値を参照して、前記特定された疾病のそれぞれについて罹患可能性を示すスコアを計算する診断装置が提案されていた(特許文献3:特開2004-126981号)。この特許文献によれば、被診断者が罹患していると考えられる疾病を定量的に分析し、正確に特定することができる。
Further, each question in the first question group is read from the database, and there is a possibility of being affected by referring to the first relational value in the database in accordance with the diagnosis subject's answer to each question in the first question group Identify one or more illnesses, read each question in the second question group from the database, and refer to a second relational value based on an answer to each question in the second question group, the identified A diagnostic apparatus for calculating a score indicating the morbidity of each disease has been proposed (Patent Document 3: Japanese Patent Application Laid-Open No. 2004-126981). According to this patent document, it is possible to quantitatively analyze and accurately specify a disease that is considered to be affected by the diagnosis subject.
前記各従来技術では、いずれも、通信回線網を介して行う問診の内容について体系化されておらず、前記各従来技術を利用して得られた問診結果が必ずしも実際に診断する医師にとって有効なものとはいえない可能性がある。
In each of the above prior arts, none of the contents of the inquiry conducted via the communication network is systematized, and the inquiry result obtained using each of the conventional techniques is not necessarily effective for the doctor who actually diagnoses. It may not be a thing.
即ち、特許文献1によれば、ユーザが記入済みの問診表を分析し、ユーザの症状にあった最寄りの医療機関を検索すると記載されているが、問診表の内容がどのような体系になっており、どのように分析するかについて具体的な記載は見当たらない。
That is, according to Patent Document 1, it is described that the user analyzes a completed questionnaire and searches for the nearest medical institution that matches the user's symptoms. There is no specific description on how to analyze it.
特許文献2によれば、複数の質問項目(発明の実施の形態、段落番号0023の記載によれば、10~20程度の質問項目)が含まれており、この質問数及び内容は「病名を求めるのではなく、単に診療科目を決定すればよい」と記載されている。しかし、問診の具体的な体系は示されていない。
According to Patent Document 2, a plurality of question items are included (according to the description of the embodiment of the invention, paragraph number 0023, about 10 to 20 question items). Instead of asking for it, it is only necessary to determine the medical subject. " However, the specific system of the interview is not shown.
特許文献3によれば、問診する質問を2つの群に分け、段階的に第1の質問群から第2の質問群に移り、最終的に罹患可能性を数値化することができる。しかしながら、具体的な各質問群の内容は、たとえば、発明の実施の形態、段落番号0052などに記載されている通り、最終的に数値として落とし込むレベルに行き着く必要があるため、症状次第では質問の数が多数になるおそれがあり、被診断者にとっては煩わしい操作を強いるおそれがあった。
According to Patent Document 3, questions to be interrogated can be divided into two groups, and gradually transferred from the first question group to the second question group, and finally the morbidity can be quantified. However, since the specific contents of each question group need to finally reach a level to be dropped as a numerical value as described in the embodiment of the invention, paragraph number 0052, etc., depending on the symptom, There is a possibility that the number becomes large, and there is a possibility that a troublesome operation may be forced for the person to be diagnosed.
本発明が属する技術分野では、被問診対象者が携帯電話等の通信端末を利用して問診に対する応答をするという前提があるため、画面サイズに制限があり、入力の操作性及び利便性が比較的低い環境であるということを考慮しなければならない。まして、入力操作に不慣れな老人や、そもそも体調のすぐれない利用者にとって、煩わしい操作は、第1に回避しなればならない問題である。しかしながら、前記従来技術では、この入力操作に関する点については必ずしも配慮されていなかった。
In the technical field to which the present invention belongs, there is a premise that the person to be interviewed responds to the inquiry using a communication terminal such as a mobile phone, so the screen size is limited and the operability and convenience of input are compared. It must be considered that the environment is low. Furthermore, troublesome operations are a problem that must first be avoided for elderly people who are unfamiliar with input operations and users who are unwell in the first place. However, in the prior art, the point related to the input operation is not always considered.
一方で、簡易な問診システムであっても、医療行為の「入り口」にあって初動を誤ると、治療の遅れが起因して重大な医療ミスを惹き起こすおそれもあり、問診内容を単純に簡素化したのでは、問診システムの本質を損なうおそれがある。また、問診システムにある程度の医療的裏づけがなければ、結局、複数の診療科目や病院を紹介しても、事実上、いわゆるドクターショッピングの指標を与えるだけになってしまう可能性が高く、医療費の無駄遣い、医師との信頼性喪失等、弊害が大きくなるおそれがあった。
On the other hand, even with a simple inquiry system, if the initial action is mistaken at the “entrance” of medical practice, there is a possibility of causing a serious medical error due to a delay in treatment. Doing so may damage the nature of the inquiry system. In addition, if there is no medical support in the inquiry system, it is highly likely that even after introducing multiple clinical subjects and hospitals, it will effectively give only the so-called doctor shopping index. There was a risk of adverse effects such as waste of money and loss of reliability with doctors.
ところで、一般に医師が患者に対して最初に問診を行う場合(以下「初動の問診」という。)、問診結果として判断される疾病に対して「グレーゾーン」とよばれる境界領域が存在する。即ち、ある疾病に対して、正確に陽性と判断される確率(感度)と正確に陰性と判断される確率(特異度)があり、最初の問診で判断される疾病名に関しては、およそ90%~96%の範囲で判断できればよいとされている。この範囲を超える前後2%~5%(感度から外れる部分を「擬陽性」、特異度から外れる部分を「偽陰性」という)については、陽性と判断されても実際は陰性であり、陰性と判断されても実際は陽性である可能性も否定できない。この領域では、単一の検査だけでは特定できない、換言すれば、初動の問診だけでは判断できない領域である。従って、徒に問診の精度を上げるのではなく、初動の問診の本質を反映した問診システムを構築すれば、医師は対面診療において、問診の手間の省略又は軽減を図ることができ、ひいては医療全般の効率化を図ることができる。
By the way, generally, when a doctor makes an inquiry to a patient for the first time (hereinafter referred to as “initial inquiry”), there is a boundary region called “gray zone” for a disease determined as an inquiry result. That is, there is a probability (sensitivity) that is accurately judged positive for a certain disease and a probability (specificity) that is judged negative exactly, and about 90% of the disease names that are judged in the first inquiry It is said that it should be possible to judge within a range of ˜96%. About 2% to 5% before and after this range (parts that deviate from sensitivity are called “false positives” and parts that deviate from specificity are called “false negatives”). However, the possibility that it is actually positive cannot be denied. In this area, it is not possible to specify only by a single examination, in other words, it is an area that cannot be determined only by the initial inquiry. Therefore, if an interview system that reflects the essence of the initial interview is established rather than improving the accuracy of the interview, the doctor can reduce or reduce the time and effort of the interview in face-to-face medical care. Can be made more efficient.
本発明は、前記初動の問診の本質、問診の限界を踏まえ、被問診対象者の利便性と医師による対面診療の迅速化を図るとともに、医療全般の効率化を実現する自動問診システム、自動問診プログラム及び自動問診方法を提供することを目的とする。
The present invention is based on the essence of the initial inquiry and the limitations of the inquiry, and is intended to speed up the convenience of the person being interviewed and the face-to-face medical care by the doctor, and to improve the efficiency of the whole medical care, automatic inquiry The purpose is to provide a program and an automatic inquiry method.
本発明にかかる自動問診システムは、通信端末から通信回線網を介して問診要求を受け付けて、この通信端末に問診票を表示させ、この問診票に対して前記通信端末により入力された入力データに基づいて、問診結果データを生成し、この問診結果データを前記通信端末に表示させるサーバを備えた自動問診システムでる。前記サーバは、身体上の部位又は上位の症状を格納した第1問診データ格納手段と、前記第1問診データ格納手段の各部位で認められる症状又は前記上位の症状に対応する中位の症状を格納した第2問診データ格納手段と、前記第2問診データ格納手段の各症状を程度別に細分化した下位の症状を格納した第3問診データ格納手段と、前記第1乃至第3問診データ格納手段から前記問診データを読み出して前記問診票を生成する問診票生成手段と、疾病名とこの疾病名に対して診察可能な診療科目名とを対応させた疾病名/診療科目データ格納手段と、前記入力データに対応する疾病名/診療科目名を前記疾病名/診療科目データ格納手段から読み出して問診結果データを生成する問診結果生成手段とを備える。前記問診票生成手段は、前記第1問診データ格納手段から問診データを読み出して第1問診票を生成し、前記第2問診データ格納手段から、前記第1問診票に対する第1入力データに対応する問診データを読み出して第2問診票を生成し、前記第3問診データ格納手段から、この第2問診票に対する第2入力データに対応する問診データを読み出して第3問診票を生成する。前記問診結果生成手段は、前記第3問診票に対する第3入力データに基づいて上記疾病名/診療科目名を読み出す。
The automatic inquiry system according to the present invention receives an inquiry request from a communication terminal via a communication line network, displays an inquiry form on the communication terminal, and inputs data inputted by the communication terminal to the inquiry form. Based on this, an automatic inquiry system including a server that generates inquiry result data and displays the inquiry result data on the communication terminal. The server includes first interrogation data storage means storing a part on the body or upper symptom, and symptoms observed at each part of the first interrogation data storage means or intermediate symptom corresponding to the upper symptom. Stored second inquiry data storage means, third inquiry data storage means for storing lower symptoms obtained by subdividing each symptom of the second inquiry data storage means, and the first to third inquiry data storage means The medical questionnaire generating means for reading out the medical interview data and generating the medical questionnaire, a disease name / medical subject data storage means that associates a disease name with a medical subject name that can be examined for the disease name, It includes an inquiry result generating means for reading out a disease name / medical subject name corresponding to the input data from the disease name / medical subject data storage means and generating inquiry result data. The interview form generating means reads out the interview data from the first interview data storage means to generate a first interview form, and corresponds to the first input data for the first interview form from the second interview data storage means. The medical data is read to generate a second medical questionnaire, and the medical data corresponding to the second input data for the second medical questionnaire is read from the third medical data storage means to generate the third medical questionnaire. The inquiry result generation means reads the disease name / medical subject name based on the third input data for the third questionnaire.
本システムの問診データは3階層で構成されている。通常、医師が行う対面診療における初動の問診も、3階層の問診を順次行うことによって進められる。従って、医師にとっては、ルーチン的に行われる問診が、本システムを利用することにより、対面診療以前に終了していることになる。また、被問診対象者にとっては、前記通信端末を介して行われる問診への応答は、この3階層の3つの質問に対して応答すればよいことになる。
The inquiry data of this system is composed of 3 layers. Usually, the initial interview in face-to-face medical care performed by a doctor is also carried out by sequentially performing three levels of interviews. Therefore, for the doctor, the routine interview is completed before the face-to-face medical care by using this system. In addition, for the person to be examined, the response to the inquiry performed via the communication terminal may be performed by responding to the three questions in the three layers. *
なお、複数の疾病名が候補として挙げられた場合は、第3入力データの内容に従って各疾病名に係数を付与して重み付けをしてもよい。このとき、前記入力データが複数あった場合、前記係数は加算すればよい。また、問診結果として表示する疾病名、診療科目名は、所定の閾値以上でもよい。さらに、属性データを数値化して前記係数に増減させるようにして、重み付けの精度を上げる様にしてもよい。
In addition, when a plurality of disease names are listed as candidates, a weight may be given to each disease name according to the content of the third input data. At this time, when there are a plurality of the input data, the coefficients may be added. In addition, the disease name and medical subject name displayed as the inquiry result may be equal to or greater than a predetermined threshold. Further, the attribute data may be digitized to increase or decrease the coefficient to increase the weighting accuracy.
問診結果データとして、表示された前記診療科目名に対応させて、この診療科目名に該当する診療が可能な病院情報を表示させるようにしてもよい。また、この表示された病院情報から前記通信端末を通じて予約ができるように、この病院情報に予約入力フォームデータを含ませるようにしてもよい。なお、前記問診結果データとして、複数の疾病名が表示される場合には、前記係数の降順で疾病名とこれに対応する病院情報を表示させるようにしてもよい。一方、一つの疾病名に対して複数の病院情報が表示される場合は、所定のソート条件に従ってこれらの病院情報を並び替えるようにしてもよい。このソート条件には、たとえば、前記通信端末から入力されたキーワードと一致情報を含む病院情報のみに絞り込んで表示させることも含まれる。
As the inquiry result data, hospital information capable of medical treatment corresponding to the medical subject name may be displayed in correspondence with the displayed medical subject name. In addition, reservation input form data may be included in the hospital information so that a reservation can be made through the communication terminal from the displayed hospital information. When a plurality of disease names are displayed as the inquiry result data, the disease names and the corresponding hospital information may be displayed in descending order of the coefficients. On the other hand, when a plurality of hospital information is displayed for one disease name, these hospital information may be rearranged according to a predetermined sort condition. This sort condition includes, for example, narrowing down and displaying only hospital information including matching information with a keyword input from the communication terminal.
前記予約入力フォームデータから病院の予約を行う場合に、問診結果データに表示されている病院情報のうち既に受診した病院があるときは、前記予約データの送信とともに、この受診した病院の診断結果データを転送するようにしてもよい。
When making a reservation for a hospital from the reservation input form data, if there is a hospital that has already been consulted among the hospital information displayed in the inquiry result data, the diagnosis result data of the hospital that has been consulted is transmitted along with the transmission of the reservation data. May be transferred.
前記問診結果データで表示される疾病名と前記診断結果データで最終的に診断された疾病名との一致率を算出し、この一致率を前記係数とともに、各疾病名データに付与するフィードバック処理機能を付加することも可能である。
A feedback processing function for calculating a matching rate between a disease name displayed in the inquiry result data and a disease name finally diagnosed with the diagnosis result data, and adding the matching rate to each disease name data together with the coefficient It is also possible to add.
前記問診結果データとして、前記読み出された疾病名/診療科目データに対して関連する商品またはサービス情報を含めて出力するようにしてもよい。この商品/サービス情報には、この商品/サービス情報が表示された前記通信端末から、前記通信回線網を介して商品の購入データ、サービスの申込データを送信するための購入/申込入力フォームデータが含まれるようにしてもよい。なお、前記所定の閾値未満の疾病名データに対して、関連する商品またはサービス情報に基づいて問診結果データを生成するようにしてもよい。
The inquiry result data may be output including product or service information related to the read disease name / clinical subject data. This product / service information includes purchase / application input form data for transmitting product purchase data and service application data via the communication line network from the communication terminal on which the product / service information is displayed. It may be included. In addition, for the disease name data less than the predetermined threshold value, the inquiry result data may be generated based on related product or service information.
コンピュータを上記各サーバとして機能させるプログラムも本発明の範囲に含まれる。
A program that causes a computer to function as each of the above servers is also included in the scope of the present invention.
本発明にかかる自動問診方法は、通信端末から通信回線網を介して問診要求を受け付けて、この通信端末に問診票を表示させ、この問診票に対して前記通信端末により入力された入力データに基づいて、問診結果データ生成し、この問診結果データを前記通信端末に表示させる自動問診方法である。この自動問診方法は、前記問診要求があると、身体上の部位又は上位の症状が列挙された第1問診票を生成し、前記通信端末に送信するステップと、この第1問診票に対して前記通信端末で身体上の部位又は上位の症状から選択がなされた第1入力データを受信するステップと、前記受信した第1入力データに対応する身体上の部位で認められる症状又は前記上位の症状に対応する中位の症状を列挙した第2問診票を生成し、前記通信端末に送信するステップと、この第2問診票に対して前記通信端末で、前記身体上の部位で認められる症状又は前記中位の症状から選択がなされた第2入力データを受信するステップと、受信した前記第2入力データに対応する各症状を程度別に細分化した下位の症状を列挙した第3問診票を生成し、前記通信端末に送信するステップと、この第3問診票に対して前記通信端末で、前記下位の症状から選択がなされた第3入力データを受信するステップと、予め、第3問診票に列挙された前記下位の症状に対応させた疾病名及び診療科目名のデータを格納し、前記第3入力データに対応する疾病名及び診療科目名を読み出すステップと、読み出された疾病名及び診療科目名を問診結果データとして前記通信端末に送信するステップとを有する。前記疾病名には、第3入力データごとに罹患可能性を示す係数を付して重み付けをし、前記疾病名及び診療科目名を読み出すときに、併せてこの係数も読み出して問診結果データに含める。
The automatic inquiry method according to the present invention accepts an inquiry request from a communication terminal via a communication line network, displays an inquiry form on the communication terminal, and inputs data input by the communication terminal to the inquiry form. This is an automatic inquiry method in which inquiry result data is generated and this inquiry result data is displayed on the communication terminal. In the automatic inquiry method, when there is the inquiry request, a step of generating a first inquiry sheet in which a part on the body or a higher-order symptom is listed and transmitting it to the communication terminal; Receiving the first input data selected from the body part or higher-order symptom at the communication terminal; and the symptom recognized at the body part corresponding to the received first input data or the higher-order symptom Generating a second questionnaire that enumerates intermediate symptoms corresponding to the above, and transmitting the second questionnaire to the communication terminal, and a symptom that is recognized at a site on the body at the communication terminal with respect to the second questionnaire or Receiving a second input data selected from the intermediate symptoms, and generating a third questionnaire that enumerates subordinate symptoms obtained by subdividing each symptom corresponding to the received second input data. And Transmitting to the terminal, receiving the third input data selected from the lower symptom at the communication terminal with respect to the third questionnaire, and the previously listed third questionnaire Stores the disease name and medical subject name data corresponding to the lower symptom, reads the disease name and medical subject name corresponding to the third input data, and inquires about the read disease name and medical subject name And transmitting to the communication terminal as result data. The disease name is weighted with a coefficient indicating the possibility of morbidity for each third input data, and when the disease name and the subject name are read, the coefficient is also read and included in the inquiry result data. .
前記下位の症状から複数の選択がなされた第3入力データにより、読み出された疾病名に複数の係数が付された場合は、各係数を加算して前記問診結果データに表示する係数としてもよい。また、前記係数に対して所定の閾値を設け、前記読み出された係数又は加算された係数がこの所定の閾値以上の場合にのみ前記問診結果データとして表示するようにしてもよい。
When a plurality of coefficients are added to the read disease name by the third input data in which a plurality of selections are made from the lower symptom, the coefficients may be added to each coefficient and displayed in the inquiry result data. Good. In addition, a predetermined threshold may be provided for the coefficient, and the inquiry result data may be displayed only when the read coefficient or the added coefficient is equal to or greater than the predetermined threshold.
本発明によれば、通常、医師が行う対面診療における初動の問診レベルの内容に絞込み、かつ、被問診対象者が入力するための問診事項を3階層に集約して分類することにより、入力操作が簡易化され、利便性が向上し、医師の問診の手間を軽減することにより、医師による対面診療の迅速化を図るとともに、医療全般の効率化を実現するという効果を奏する。
According to the present invention, the input operation is normally performed by narrowing down to the contents of the initial inquiry level in face-to-face medical care performed by a doctor, and collecting and classifying the inquiry items to be inputted by the person to be examined in three layers. This simplifies and improves convenience, and reduces the time required for doctors' interrogation, thereby speeding up face-to-face medical treatment by doctors and improving the efficiency of medical treatment in general.
また、病院情報のほか、関連する商品、サービス情報も提供することにより、より広範な情報を提供することが可能となり、利便性の向上に資するという効果を奏する。
Also, by providing related product and service information in addition to hospital information, it is possible to provide a wider range of information, which has the effect of contributing to improved convenience.
さらに、被問診対象者(あるいは患者)主導で対応可能なデータを提供することにより、前記被問診対象者の適切な行動をアドバイスすることが可能になり、主観的な独断で決定されがちなドクターショッピングを回避することができるという効果も奏する。
Furthermore, by providing data that can be handled by the subject (or patient), the appropriate behavior of the subject can be advised. There is also an effect that shopping can be avoided.
〔第1の実施形態〕
図1を参照して、本発明にかかる自動問診システムを説明する。自動問診システムのサーバ1は、通信回線網(本実施の形態では、インターネット網N)を介して、複数の通信端末(本実施の形態では3つの携帯電話m1~m3)と通信可能に接続されている。本実施の形態では、説明の便宜上、携帯電話を使用した例で説明しているが、通信端末はこれに限定されない。また、通信端末の数も3に限定されない。後述するように、サーバ1及び携帯端末m1~m3は、所定の病院の通信端末h、商品の販売及びサービスの受付をする店舗の通信端末sとも、インターネット網Nを介して通信可能に接続されている。 [First Embodiment]
With reference to FIG. 1, the automatic inquiry system concerning this invention is demonstrated. Theserver 1 of the automatic inquiry system is communicably connected to a plurality of communication terminals (three mobile phones m1 to m3 in this embodiment) via a communication line network (in this embodiment, the Internet network N). ing. In this embodiment, for convenience of explanation, an example using a mobile phone is described, but the communication terminal is not limited to this. Further, the number of communication terminals is not limited to three. As will be described later, the server 1 and the portable terminals m1 to m3 are connected to a communication terminal h of a predetermined hospital and a communication terminal s of a store that sells products and accepts services through a network N. ing.
図1を参照して、本発明にかかる自動問診システムを説明する。自動問診システムのサーバ1は、通信回線網(本実施の形態では、インターネット網N)を介して、複数の通信端末(本実施の形態では3つの携帯電話m1~m3)と通信可能に接続されている。本実施の形態では、説明の便宜上、携帯電話を使用した例で説明しているが、通信端末はこれに限定されない。また、通信端末の数も3に限定されない。後述するように、サーバ1及び携帯端末m1~m3は、所定の病院の通信端末h、商品の販売及びサービスの受付をする店舗の通信端末sとも、インターネット網Nを介して通信可能に接続されている。 [First Embodiment]
With reference to FIG. 1, the automatic inquiry system concerning this invention is demonstrated. The
本システムは、携帯電話m1~m3(以下総称して「携帯電話M」という)からインターネット網Nを介してサーバ1に問診要求の信号を送信すると、サーバ1から問診票が送信されて携帯電話Mに表示させ、この問診票に対する応答を入力することで、サーバ1から携帯電話Mに問診結果を表示させるものである。この問診結果には、前記病院や店舗に関する情報も含まれ、携帯電話Mと病院の通信端末h、店舗の通信端末sとのデータ通信も可能である。
In this system, when an inquiry request signal is transmitted from the mobile phones m1 to m3 (hereinafter collectively referred to as “mobile phone M”) to the server 1 via the Internet N, an inquiry form is transmitted from the server 1 to the mobile phone. M is displayed, and a response to the inquiry form is input, so that the inquiry result is displayed on the mobile phone M from the server 1. This inquiry result also includes information on the hospital or store, and data communication between the mobile phone M, the hospital communication terminal h, and the store communication terminal s is also possible.
図2はサーバ1のブロック構成図である。なお、以下、第1の実施形態乃至第5の実施形態で説明するサーバ1の各機能は、CPU(図示せず)及びメモリ(図示せず)による制御、演算、加工等によって実行される。
FIG. 2 is a block diagram of the server 1. Hereinafter, each function of the server 1 described in the first to fifth embodiments is executed by control, calculation, processing, and the like by a CPU (not shown) and a memory (not shown).
携帯電話Mからの問診要求をインターネット網Nを介して、サーバ1の送受信部101で受信し、問診票生成部102に問診票生成の要求がなされる。問診票生成部102では、まず、前記問診票生成の要求に対して、第1問診データ格納部103から問診データを読み出して、第1問診票me1(図3)が生成され、生成された第1問診票me1が、送受信部101からインターネット網Nを介して携帯電話Mに送信され、表示される。携帯電話Mから第1問診票me1に対する第1入力データが入力されると、この第1入力データをインターネット網Nを介して送受信部101で受信する。
The inquiry request from the mobile phone M is received by the transmission / reception unit 101 of the server 1 via the Internet N, and the inquiry form generation unit 102 is requested to generate an inquiry form. In response to the request for generating the medical questionnaire, the medical questionnaire generating unit 102 first reads out the medical data from the first medical data storage unit 103 to generate and generate the first medical questionnaire me1 (FIG. 3). One questionnaire form me1 is transmitted from the transmission / reception unit 101 to the mobile phone M via the Internet N and displayed. When the first input data for the first questionnaire me1 is input from the mobile phone M, the first input data is received by the transmission / reception unit 101 via the Internet N.
問診票生成部102では、受信した第1入力データに対応する第2問診データを第2問診データ格納部104から読み出し、第2問診票me2(図3)が生成され、生成された第2問診票me2が送受信部101からインターネット網Nを介して携帯電話Mに送信され、表示される。携帯電話Mから第2問診票me2に対する第2入力データが入力されると、この第2入力データをインターネット網Nを介して送受信部101で受信する。
In the questionnaire form generation unit 102, the second inquiry data corresponding to the received first input data is read from the second inquiry data storage unit 104, the second inquiry form me 2 (FIG. 3) is generated, and the generated second inquiry The vote me2 is transmitted from the transmission / reception unit 101 to the mobile phone M via the Internet network N and displayed. When the second input data for the second questionnaire me2 is input from the mobile phone M, the second input data is received by the transmission / reception unit 101 via the Internet N.
問診票生成部102では、受信した第2入力データに対応する第3問診データを第3問診データ格納部105から読み出し、第3問診票me3(図3)が生成され、生成された第3問診票me3が送受信部101からインターネット網Nを介して携帯電話Mに送信され、表示される。携帯電話Mから前記第3問診票me3に対する第3入力データが入力されると、この第3入力データをインターネット網Nを介して送受信部101で受信する。受信した第3入力データに対応する疾病名及び診療科目名を疾病名/診療科目名データ格納部107から読み出し、読み出された疾病名及び診療科目名に基づいて、問診結果生成部106で問診結果データが生成される。この問診結果データは送受信部101からインターネット網Nを介して携帯電話Mに送信され、表示される。
In the questionnaire form generation unit 102, the third inquiry data corresponding to the received second input data is read from the third inquiry data storage unit 105, the third inquiry form me3 (FIG. 3) is generated, and the generated third inquiry form is generated. The vote me3 is transmitted from the transmission / reception unit 101 to the mobile phone M via the Internet N and displayed. When third input data for the third questionnaire me3 is input from the mobile phone M, the third input data is received by the transmission / reception unit 101 via the Internet N. The disease name and medical subject name corresponding to the received third input data are read from the disease name / medical subject name data storage unit 107, and the inquiry result generation unit 106 performs an inquiry based on the read disease name and medical subject name. Result data is generated. This inquiry result data is transmitted from the transmission / reception unit 101 to the mobile phone M via the Internet N and displayed.
図3は前記第1問診票me1、第2問診票me2及び第3問診票me3の表示例を示している。第1問診票me1は身体上の各部位又は上位の症状を画面上で選択できる形式に列挙したものである。即ち、最初に「具合の悪い部位/症状は?」という問いme11に対して、<部位>me12としては、頭、顔、胸、腹、背中、腰・尻、腕、足が列挙され、上位の<症状>me13としては、貧血、のぼせ、亜発熱、冷え性、吐き気、胸焼け、動悸・息切れ、消化・食欲異常、肥満・痩せすぎ、睡眠障害、疲れ・倦怠感、心の悩み、精神障害が列挙されている。そして、各部位、症状にラジオボタンrが付されているので、携帯電話Mの入力キーから、被問診対象者の具合の悪い部位、症状を一つ選択する。本実施の形態では、具合の悪い部位として「頭」が選択されているところを示している。
FIG. 3 shows a display example of the first inquiry form me1, the second inquiry form me2, and the third inquiry form me3. The first questionnaire me1 is a list in which each part on the body or higher-level symptoms can be selected on the screen. That is, in response to the question me11, “What is the bad part / symptom?”, The head, face, chest, belly, back, waist / butt, arms, and feet are listed as <part> me12. <Symptoms> of me13 include anemia, hot flashes, subfever, coldness, nausea, heartburn, palpitation / shortness of breath, abnormal digestion / appetite, obesity / overweight, sleep disorder, fatigue / malaise, mental distress, mental disorder It is enumerated. Since each part and symptom is provided with a radio button r, one part or symptom that is not suitable for the person to be examined is selected from the input key of the mobile phone M. In the present embodiment, the “head” is selected as a bad condition.
第2問診票me2では、第1問診票me1で選択された部位で認められる症状又は前記上位の症状に対応する中位の症状が列挙される。本実施の形態では、第1問診票me1で選択された部位「頭」に対応する症状を列挙した問診票が生成される。即ち、冒頭に部位me21に「頭」と表示され、「症状は?」という問いme22に対して、この部位で認められる症状(頭痛、意識障害、めまい…筋肉の異常など)を画面上で選択できるように、各々ラジオボタンrが付された形式で列挙されている。そして、第1問診票me1同様、携帯電話Mの入力キーから、被問診対象者の具合の悪い部位の症状を一つ選択すればよい。本実施の形態では、症状として「頭痛」が選択されているところを示している。
In the second medical questionnaire me2, the symptoms observed at the site selected in the first medical questionnaire me1 or the middle symptoms corresponding to the upper symptom are listed. In the present embodiment, an inquiry form listing the symptoms corresponding to the region “head” selected on the first inquiry form me1 is generated. That is, “Head” is displayed at the beginning of the part me21, and when the question me22 is “What is the symptom?”, The symptoms (headache, disturbance of consciousness, dizziness… muscle abnormality, etc.) that are recognized at this part are selected on the screen Each can be listed in a form with a radio button r attached. Then, as with the first questionnaire form me1, one symptom of the unwell part of the person to be examined may be selected from the input key of the mobile phone M. In the present embodiment, “headache” is selected as a symptom.
第3問診票me3では、第2問診票me2の各症状を程度別に細分化した下位の症状が列挙される。本実施の形態では、冒頭に部位の症状me31として第2入力データとして選択された「頭痛」が表示され、下位の症状me32として「急に頭を殴られるような頭痛があった」「ときどき発作的に頭痛が起こる」「ずーっと続く頭痛がある」「ここしばらく頭痛が強くなってきた」等の症状が表示されている。この第3問診票me3では、第1問診票me1及び第2問診票me2と異なり、複数回答が可能であるため、各症状にチェックボックスcが付されている。
In the third questionnaire me3, subordinate symptoms obtained by subdividing each symptom of the second questionnaire me2 by degree are listed. In the present embodiment, “headache” selected as the second input data is displayed as the symptom me31 of the region at the beginning, and “there was a headache that suddenly hit the head” as the subordinate symptom me32 Symptoms such as “a headache occurs regularly”, “a headache continues for a long time”, and “the headache has become stronger for a while” are displayed. In the third medical inquiry me3, unlike the first medical inquiry me1 and the second medical inquiry me2, a plurality of answers are possible, so a check box c is attached to each symptom.
本発明では、図3に示すように、被問診対象者は、3階層の問診(質問)の中から自覚症状に当てはまるものを順次選択するだけの簡単な操作ができればよいので、携帯電話の操作に不慣れな老人や体調のすぐれない者にとって操作性がよく、高い利便性がある。さらに、この3階層の問診は、一般に医師が対面診療においても、初動で行う問診手順と同様である。従って、医師にとっても初動の問診の手間が省けるか、少なくとも軽減される。この3階層に体系化された問診によって得られる問診結果は、感度又は特異度が概ね90%~96%のレベルの内容であるが、これ以上の精度を上げるためには単一の検査では特定できないレベルとなるため、初動の問診には馴染まないレベルになってしまう。そこで、本発明では、問診の精度を必要以上に上げるよりも、上記被問診対象者の操作性及び利便性の向上と、医師の対面診療の迅速化並びに医療全般の効率化を図るために、問診内容を上記3階層に体系化した。
In the present invention, as shown in FIG. 3, the person to be examined needs to be able to perform simple operations by simply selecting ones corresponding to the subjective symptoms from the three levels of questions (questions). It is easy to use and highly convenient for elderly people who are not familiar with it and those who are unwell. Furthermore, this three-level inquiry is generally the same as the inquiry procedure performed by the doctor during face-to-face medical care. Therefore, it is possible for the doctor to save or at least reduce the trouble of the initial inquiry. Interview results obtained through this three-level systematic interview are about 90% to 96% sensitivity or specificity, but are specified by a single test to increase the accuracy beyond that. Because it becomes a level that can not be, it will be a level that is not familiar with the initial interview. Therefore, in the present invention, in order to improve the operability and convenience of the interviewed person, speed up the face-to-face medical care of the doctor, and improve the efficiency of the overall medical care, rather than raising the accuracy of the inquiry more than necessary. The contents of the interview were organized into the above three levels.
図4は、上記第3問診票me3に対する第3入力データに基づいて、図2で説明した問診結果生成部106で生成され、携帯電話Mで表示される問診結果票rs1の表示例を示している。まず、冒頭欄rs11に、上記3階層の問診に対する各入力データの内容を表示している。即ち、「部位:頭、症状:頭痛、程度:急に頭を殴られるような頭痛があった、夜の決まった時間帯に起こる頭痛」という表示がなされる。次いで、この入力データから、判断される疾病名及び診療科目名が、図2で説明した疾病名/診療科目名データ格納部107から読み出され、これが表示される。本実施の形態では2つの原因欄rs12及びrs13が表示され、各原因欄には、疾病名rs121「△×症」、rs131「△△症」及び診療科目名rs122「○○○科」、rs132「□□□科」が表示されている。
FIG. 4 shows a display example of the inquiry result sheet rs1 generated by the inquiry result generation unit 106 described in FIG. 2 and displayed on the mobile phone M based on the third input data for the third inquiry sheet me3. Yes. First, in the opening column rs11, the contents of each input data with respect to the above-mentioned three levels of inquiry are displayed. In other words, the display “site: head, symptom: headache, degree: headache suddenly hitting the head, headache occurring at a fixed time in the night” is displayed. Next, the disease name and medical subject name to be judged are read from the input data from the disease name / medical subject name data storage unit 107 described with reference to FIG. 2 and displayed. In the present embodiment, two cause columns rs12 and rs13 are displayed, and in each cause column, disease name rs121 “Δ × syndrome”, rs131 “ΔΔ disease”, clinical course name rs122 “XXX department”, rs132 “□□□ 科” is displayed.
〔第2の実施形態〕
図5は第2の実施形態にかかるサーバ1のブロック構成図である。第1の実施形態におけるサーバ1の構成要素と同一のものについては同一の符号を付し、詳細な説明は省略する。図1の自動問診システムが第2実施形態でも使用される。 [Second Embodiment]
FIG. 5 is a block diagram of theserver 1 according to the second embodiment. The same components as those of the server 1 in the first embodiment are denoted by the same reference numerals, and detailed description thereof is omitted. The automatic inquiry system of FIG. 1 is also used in the second embodiment.
図5は第2の実施形態にかかるサーバ1のブロック構成図である。第1の実施形態におけるサーバ1の構成要素と同一のものについては同一の符号を付し、詳細な説明は省略する。図1の自動問診システムが第2実施形態でも使用される。 [Second Embodiment]
FIG. 5 is a block diagram of the
第1の実施形態では、原因欄が複数設けられて、各々疾病名、診療科目名が記載されているが、本実施の形態では、各疾病名に対して、入力データから推測される罹患可能性を定量的に示すようにしている。
In the first embodiment, a plurality of cause columns are provided, and each disease name and clinical course name are described. In this embodiment, each disease name can be estimated from the input data. The sex is shown quantitatively.
問診結果生成部106によって、疾病名/診療科目名データ格納部107から読み出される各疾病名データは、後述するように、第3入力データの症状に対応した罹患可能性を示す係数が付されている。即ち、前記の通り、チェックボックスが付されて選択式になっている第3問診データごとに、各疾病名データの罹患可能性を重み付けした所定の係数を付与したテーブルが設けられ、前記疾病名/診療科目名データとこの係数データとが、疾病名データを介して紐付けされて格納されている。従って、問診結果生成部106で生成される問診結果データには、この係数も読み出されて表示される。
Each disease name data read from the disease name / clinical subject name data storage unit 107 by the inquiry result generation unit 106 is given a coefficient indicating the possibility of morbidity corresponding to the symptom of the third input data, as will be described later. Yes. That is, as described above, a table with a predetermined coefficient weighted by the possibility of affliction of each disease name data is provided for each third inquiry data with a check box and a selection formula, and the disease name / Medical subject name data and this coefficient data are stored in association with disease name data. Therefore, this coefficient is also read and displayed in the inquiry result data generated by the inquiry result generation unit 106.
ここで、第3入力データが複数選択されて入力された場合、一つの疾病名データに複数の係数データが付される。そこで、この複数の係数データを第3入力データが複数選択されて入力された症状に対する係数として表示するために、読み出された複数の係数を加算する演算部108が設けられている。
Here, when a plurality of third input data are selected and input, a plurality of coefficient data is attached to one disease name data. Therefore, in order to display the plurality of coefficient data as a coefficient for the symptom inputted by selecting a plurality of third input data, a calculation unit 108 for adding the plurality of read coefficients is provided.
ところで、前記罹患可能性を示す係数は第3入力データの症状に基づく判断であるため、例えば被問診対象者が男性の場合に、女性固有の疾病名が表示されたり、被問診対象者が既往歴として摘出した部位(例えば、盲腸など)に関する疾病名が表示される可能性もある。逆に、一般的には、第3入力データから判断される疾病名の係数が低いものでも、特定の体質あるいは既往歴を有する者にとっては高い係数を付与しなければならないものもある。そこで、被問診対象者の属性から係数データの信頼性を向上させるために、携帯電話Mから属性データを入力できるようにし、このデータを属性データ登録部109に登録し、演算部108で係数の加算をする際に、属性データ登録部109から、対象となる被問診対象者の属性データを読み出して、係数データに対して所定の数値を増減させるようにしてもよい。この増減される数値は、所定の属性データに対して予め疾病名ごとに設定しておけばよい。登録された属性データと係数の読み出し/加算の基礎となる第3入力データとは、例えば、携帯電話Mからの問診要求をするときに、被問診対象者が氏名やIDなどを入力し、この入力したデータを介して紐付けるようにしておけば、読み出すことは可能である。
By the way, since the coefficient indicating the morbidity is a determination based on the symptom of the third input data, for example, when the person to be examined is a man, a disease name specific to a woman is displayed, or the person to be examined There is also a possibility that a disease name related to a site (for example, cecum) is displayed as a history. On the other hand, in general, even if the coefficient of the disease name determined from the third input data is low, there are some that have to be given a high coefficient for those who have a specific constitution or history. Therefore, in order to improve the reliability of the coefficient data from the attributes of the person being examined, the attribute data can be input from the mobile phone M, and this data is registered in the attribute data registration unit 109, and the calculation unit 108 calculates the coefficient. When the addition is performed, the attribute data of the subject to be examined may be read from the attribute data registration unit 109, and a predetermined numerical value may be increased or decreased with respect to the coefficient data. The numerical value to be increased or decreased may be set for each disease name in advance for predetermined attribute data. The registered attribute data and the third input data that is the basis for reading / adding the coefficient are, for example, when the person to be examined inputs a name, ID, etc. when making an inquiry request from the mobile phone M. If the data is linked via the input data, it can be read out.
図6(a)は係数テーブルt1を示し、図6(b)は係数計算テーブルt2を示している。係数テーブルt1は、横軸に第3問診データ欄(便宜上、第3問診データを番号1,2,3,4,5…nで表記)を縦軸に疾病名データ欄を設け、各疾病名データに、第3問診データごとの係数値が記載されている。係数値は、第3問診データの症状から、当該疾病に罹患している確率を数値化したもので、症状と疾病に因果関係がまったくないものについては係数値が「0」になっている。実際には、少なくとも第3問診データは1000くらいのアイテムを含み、疾病名データは500くらいのアイテムを含むことが望ましい。
6A shows a coefficient table t1, and FIG. 6B shows a coefficient calculation table t2. The coefficient table t1 has a third inquiry data column on the horizontal axis (for convenience, the third inquiry data is represented by numbers 1, 2, 3, 4, 5,... N), and a disease name data column on the vertical axis. The coefficient value for each third inquiry data is described in the data. The coefficient value is obtained by quantifying the probability of suffering from the disease from the symptom of the third inquiry data, and the coefficient value is “0” when there is no causal relationship between the symptom and the disease. Actually, it is desirable that at least the third inquiry data includes about 1000 items and the disease name data includes about 500 items.
係数計算テーブルt2では、疾病名データに対して係数値の演算式欄と演算結果欄とが対応している。例えば、前記係数テーブルt1で第3問診データのうち、1、4及び5についてチェックボックスにチェックが入力されると、○○症の演算式は、1の係数10と4の係数0と5の係数10の総和(即ち、10+0+10)であり、演算結果は20となる。同様にして、疾病名○×症の演算式は0+0+0であり、演算結果は0、疾病名△△症の演算式は0+30+0であり、演算結果は30、疾病名△×症の演算式は20+10+10であり、演算結果は40となる。そして、各演算結果は各疾病名の係数となる。
In the coefficient calculation table t2, the coefficient value calculation expression column and the calculation result column correspond to the disease name data. For example, when a check is entered in the check boxes for 1, 4 and 5 in the third inquiry data in the coefficient table t1, the calculation formula for OO is the coefficient 10 of 1 and the coefficients 0 and 5 of 4 The sum of the coefficients is 10 (that is, 10 + 0 + 10), and the calculation result is 20. Similarly, the arithmetic expression of the disease name ◯ × symptom is 0 + 0 + 0, the arithmetic result is 0, the arithmetic expression of the illness name ΔΔ symptom is 0 + 30 + 0, the arithmetic result is 30, and the arithmetic expression of the illness name Δ × symptom is 20 + 10 + 10. And the calculation result is 40. Each calculation result is a coefficient for each disease name.
図7は上記係数を伴う問診結果rs2の表示例を示したものである。図4で説明した事項と同じ事項については同一の符号を付し、詳細な説明は省略する。以下、第3の実施形態乃至第5の実施形態においても同様である。問診結果の生成に当たり属性データが利用された場合は、冒頭rs11の下に属性データrs21が表示される。また、原因欄rs12及びrs13には、疾病名rs121「△×症」及び診療科目名rs122「○○○科」の他に係数「40」が表示され、疾病名rs131「△△症」及び診療科目名rs132「□□□科」の他に係数「30」が表示されている。
FIG. 7 shows a display example of the inquiry result rs2 with the above coefficient. The same items as those described in FIG. 4 are denoted by the same reference numerals, and detailed description thereof is omitted. Hereinafter, the same applies to the third to fifth embodiments. When attribute data is used for generating an inquiry result, attribute data rs21 is displayed below the beginning rs11. In addition, in the cause columns rs12 and rs13, a coefficient “40” is displayed in addition to the disease name rs121 “Δ × syndrome” and the clinical course name rs122 “XXX department”, and the disease name rs131 “ΔΔ disease” A coefficient “30” is displayed in addition to the subject name rs132 “□□□ family”.
図8は前記係数を含む問診結果を生成する処理フローを示した図である。以下、図1乃至図7を適宜参照しながら説明する。サーバ1は携帯電話Mから問診要求を受け付けると(S1)、第1問診票me1を携帯電話Mに送信する(S2)。携帯電話Mで第1問診票me1に対して、被問診対象者の自覚症状があらわれている部位/上位の症状のラジオボタンが選択されて第1入力データがサーバ1に送信される。サーバ1は第1入力データを受信すると(S3)、この第1入力データに対応する第2問診票me2を生成し、携帯電話Mに送信する(S4)。携帯電話Mで第2問診票me2に対して、被問診対象者が該当する中位の症状のラジオボタンが選択されて第2入力データがサーバ1に送信される。サーバ1は第2入力データを受信すると(S5)、この第2入力データに対応する第3問診票me3を生成し、携帯電話Mに送信する(S6)。携帯電話Mで第3問診票me3に対して、被問診対象者が該当する下位の症状のチェックボックスが選択されて第3入力データがサーバ1に送信される。サーバ1は第3入力データを受信すると(S7)、この選択された第3入力データに対応する疾病名、診療科目名及び係数を読み取る(S8)。このとき、第3入力データが複数の選択されている場合は、各第3入力データに対応する係数が複数読み取られることになる。そこで、疾病名とこれに対応する係数が複数読み取られたか否かを判断し(S9)、複数ある場合(S9のNo)、各係数の総和を演算する(S10)。一方、読み取られた係数が単数の場合(S9のYes)、次のステップに進む。なお、係数が単数、複数いずれの場合でも、被問診対象者の属性データの有無を判断し(S11)、属性データがある場合(S11のNo)、前記係数に対して反映させる属性データの数値の増減を演算する(S12)。属性データがない場合(S11のYes)、次のステップに進む。
FIG. 8 is a diagram showing a processing flow for generating an inquiry result including the coefficient. Hereinafter, description will be made with reference to FIGS. 1 to 7 as appropriate. When the server 1 receives an inquiry request from the mobile phone M (S1), the server 1 transmits a first inquiry form me1 to the mobile phone M (S2). The radio button of the part / higher symptom where the subjective symptom of the person to be examined appears on the first inquiry form me1 is selected by the mobile phone M, and the first input data is transmitted to the server 1. When the server 1 receives the first input data (S3), the server 1 generates a second questionnaire me2 corresponding to the first input data and transmits it to the mobile phone M (S4). With the mobile phone M, the radio button of the middle symptom corresponding to the person to be examined is selected for the second medical questionnaire me2, and the second input data is transmitted to the server 1. When the server 1 receives the second input data (S5), the server 1 generates a third questionnaire me3 corresponding to the second input data and transmits it to the mobile phone M (S6). The check box of the lower symptom corresponding to the person to be examined is selected for the third inquiry form me3 by the mobile phone M, and the third input data is transmitted to the server 1. When the server 1 receives the third input data (S7), it reads the disease name, medical subject name, and coefficient corresponding to the selected third input data (S8). At this time, when a plurality of third input data are selected, a plurality of coefficients corresponding to each third input data are read. Therefore, it is determined whether or not a plurality of disease names and corresponding coefficients are read (S9). If there are a plurality of coefficients (No in S9), the sum of each coefficient is calculated (S10). On the other hand, when the read coefficient is single (Yes in S9), the process proceeds to the next step. Whether the coefficient is singular or plural, the presence / absence of attribute data of the person to be examined is determined (S11). If there is attribute data (No in S11), the numerical value of the attribute data to be reflected on the coefficient Is calculated (S12). If there is no attribute data (Yes in S11), the process proceeds to the next step.
ところで、前記係数が非常に小さい場合、すなわち、罹患可能性が極めて低い場合は、問診結果として疾病名を表示する必要はない。そこで、表示すべき閾値(前記演算された係数が疾病として表示すべきレベルの値)を設け、演算された係数がこの閾値以上であるか否かの判断を行うようにすればよい(S13)。そして、前記係数が閾値未満である場合は(S13のNo)、疾病として表示するレベルに至っていないと判断し、問診結果データには、特に該当する疾病が存在しないこと表示し、携帯電話Mに送信する(S15)。一方、前記係数が閾値以上である場合は(S13のYes)、疾病名及び診療科目名を特定し(S14)、問診結果データには、前記係数とともに、特定された疾病名及び診療科目名を表示し、携帯電話Mに送信する(S15)。
By the way, when the coefficient is very small, that is, when the possibility of morbidity is extremely low, it is not necessary to display a disease name as an inquiry result. Therefore, a threshold value to be displayed (the calculated coefficient is a level value to be displayed as a disease) may be provided, and it may be determined whether or not the calculated coefficient is equal to or greater than this threshold value (S13). . If the coefficient is less than the threshold value (No in S13), it is determined that the level of display as a disease has not been reached, the inquiry result data indicates that there is no relevant disease, and the mobile phone M is displayed. Transmit (S15). On the other hand, when the coefficient is equal to or greater than the threshold (Yes in S13), the disease name and the medical subject name are specified (S14), and the inquiry result data includes the specified disease name and the medical subject name together with the coefficient. It is displayed and transmitted to the mobile phone M (S15).
〔第3の実施形態〕
図9は第3の実施形態にかかるサーバ1のブロック構成図である。第1の実施形態におけるサーバ1の構成要素と同一のものについては同一の符号を付し、詳細な説明は省略する。図1の自動問診システムが第3実施形態でも使用される。本実施の形態では、問診結果に表示された診療科目名に該当する診療が可能な病院をリストアップする機能を付加している。すなわち、サーバ1は、各診療科目名ごとに分類された病院情報を格納した病院情報格納部110を有し、問診結果生成部106で問診結果データを生成するために、疾病名/診療科目名データ格納部107から疾病名/診療科目名データを読み出すとともに、この読み出された疾病名/診療科目名データに該当する診療が可能な病院に関する病院情報を病院情報格納部110から読み出す。この病院情報には、病院名、所在地、連絡先などの病院情報が含まれている。 [Third Embodiment]
FIG. 9 is a block diagram of theserver 1 according to the third embodiment. The same components as those of the server 1 in the first embodiment are denoted by the same reference numerals, and detailed description thereof is omitted. The automatic inquiry system of FIG. 1 is also used in the third embodiment. In the present embodiment, a function of listing hospitals capable of performing medical treatment corresponding to the medical treatment subject name displayed in the inquiry result is added. That is, the server 1 has a hospital information storage unit 110 that stores hospital information classified for each medical subject name, and in order to generate the inquiry result data in the inquiry result generation unit 106, the disease name / medical subject name The disease name / clinical subject name data is read from the data storage unit 107, and the hospital information related to the hospital capable of performing medical treatment corresponding to the read disease name / clinical subject name data is read from the hospital information storage unit 110. This hospital information includes hospital information such as the hospital name, location, and contact information.
図9は第3の実施形態にかかるサーバ1のブロック構成図である。第1の実施形態におけるサーバ1の構成要素と同一のものについては同一の符号を付し、詳細な説明は省略する。図1の自動問診システムが第3実施形態でも使用される。本実施の形態では、問診結果に表示された診療科目名に該当する診療が可能な病院をリストアップする機能を付加している。すなわち、サーバ1は、各診療科目名ごとに分類された病院情報を格納した病院情報格納部110を有し、問診結果生成部106で問診結果データを生成するために、疾病名/診療科目名データ格納部107から疾病名/診療科目名データを読み出すとともに、この読み出された疾病名/診療科目名データに該当する診療が可能な病院に関する病院情報を病院情報格納部110から読み出す。この病院情報には、病院名、所在地、連絡先などの病院情報が含まれている。 [Third Embodiment]
FIG. 9 is a block diagram of the
図10は病院一覧を伴う問診結果rs3の表示例を示す図である。図4で説明した事項と同じ事項については同一の符号を付し、詳細な説明は省略する。前記rs1及びrs2とは帳票イメージが異なるが、これは記載項目が増えたために、表形式にしたものであって、rs1、rs2、rs3、さらに、後述する他の問診結果の表示例においても、記載項目が網羅されていればよく、各実施の形態に示す帳票イメージに限定する趣旨ではない。各原因欄rs12、rs13に対して、疾病名、診療科目名、係数とともに、病院名が表示されるようになっている。すなわち、原因欄rs12に対応する病院名rs31と原因欄rs13に対応する病院名rs32が記載されている。
FIG. 10 is a view showing a display example of the inquiry result rs3 with the hospital list. The same items as those described in FIG. 4 are denoted by the same reference numerals, and detailed description thereof is omitted. The form image is different from the above rs1 and rs2, but this is in the form of a table due to an increase in the number of items to be written. In the display examples of rs1, rs2, rs3, and other inquiry results described later, It is sufficient that the description items are covered, and the present invention is not limited to the form image shown in each embodiment. For each cause column rs12, rs13, a hospital name is displayed together with a disease name, a medical subject name, and a coefficient. That is, the hospital name rs31 corresponding to the cause column rs12 and the hospital name rs32 corresponding to the cause column rs13 are described.
なお、原因欄rs12、rs13を表示する順序はランダムでもよいが、図10で示すとおり、係数221、係数231に着目し、係数の降順で表示することが好ましい。すなわち、係数の降順で、疾病名、診療科目名、病院名が表示されれば、被問診対象者は、例えば、複数表示されている疾病名から、罹患可能性の高い順序に、表示されている病院に行けばよいため、無駄なドクターショッピングを回避することが可能になる。しかも、被問診対象者主導のオペレーションによって表示されるリストであるため、納得して受診することができる。
The order in which the cause columns rs12 and rs13 are displayed may be random, but as shown in FIG. 10, it is preferable to pay attention to the coefficients 221 and 231 and display them in descending order of the coefficients. That is, if the disease name, medical subject name, and hospital name are displayed in descending order of the coefficients, the person being examined is displayed, for example, in the order of the most likely morbidity from the displayed disease names. It is possible to avoid useless doctor shopping because it is only necessary to go to the hospital where the hospital is located. In addition, since the list is displayed by the operation led by the person to be examined, the patient can be convinced to receive a medical examination.
ところで、問診結果で表示された病院情報が、携帯電話Mから直接診療予約することができれば便利である。そこで、携帯電話Mに表示された問診結果から病院の予約フォームを表示した例を図11示した。図11で示す問診結果rs4では、病院名rs31及びrs32がハイパーリンク可能に表示されている。このハイパーリンクを指定すると、予約フォームrf1が表示される画面に変わる。問診予約フォームには、例えば、氏名、メールアドレス、連絡先、受診の希望日時の記入欄がある。また、問診結果を記載するようにしてもよい。なお、この予約フォームデータは、前記病院情報の中に含まれるようにすればよい。記入された予約フォームデータは、送信ボタンを押すことにより、直接病院の通信端末h(図1参照)に送信されるようにすればよい。なお、図4で説明した事項と同じ事項については同一の符号を付し、詳細な説明は省略する。
By the way, it is convenient if the hospital information displayed as the result of the inquiry can make a medical appointment directly from the mobile phone M. Therefore, FIG. 11 shows an example in which a hospital reservation form is displayed from the inquiry result displayed on the mobile phone M. In the inquiry result rs4 shown in FIG. 11, hospital names rs31 and rs32 are displayed in a hyperlinkable manner. When this hyperlink is designated, the screen changes to a screen on which the reservation form rf1 is displayed. In the inquiry reservation form, for example, there are columns for filling in the name, e-mail address, contact information, and desired date and time of the consultation. Moreover, you may make it describe an inquiry result. The reservation form data may be included in the hospital information. The filled reservation form data may be transmitted directly to the hospital communication terminal h (see FIG. 1) by pressing the transmission button. In addition, the same code | symbol is attached | subjected about the matter same as the matter demonstrated in FIG. 4, and detailed description is abbreviate | omitted.
問診結果rs4で列挙された複数の病院で受診する場合、すでに受診した病院があるときは、この受診した病院の診断結果データを次に受診する病院の予約とともに、添付して送信できるようにしてもよい。図11の予約フォームrf1では、下方にこの既に受診した病院の診断結果の添付が選択できるようになっている。このように、受診履歴が次の病院で参照できることにより、対面診療を行う医師の負担が軽減され、迅速な医療が実現する。また、この診断結果データは、被問診対象者の既往歴として、図5で説明した属性データ登録部109に自動的に追加されるようにしてもよい。なお、この診断結果データはサーバ1を介して病院の通信端末hから受信するようにすればよい。
When consulting at multiple hospitals listed in the interview result rs4, if there is a hospital that has already been consulted, the diagnostic result data of this hospital that has been consulted can be sent together with the appointment of the next hospital to be consulted Also good. In the reservation form rf1 in FIG. 11, the attachment of the diagnosis result of the hospital that has already been consulted can be selected below. As described above, since the consultation history can be referred to at the next hospital, the burden on the doctor performing the face-to-face medical care is reduced, and prompt medical care is realized. Further, the diagnosis result data may be automatically added to the attribute data registration unit 109 described with reference to FIG. 5 as the past history of the person to be examined. The diagnosis result data may be received from the hospital communication terminal h via the server 1.
図12は病院一覧をソートする画面の表示例を示す図である。問診結果として、一つの原因欄(即ち、疾病名)に対して、複数の病院情報が読み出される場合がある。この場合、ランダムに病院を表示するだけでなく、携帯電話Mから所定のソート条件によって並び替えるようにしてもよい。本実施の形態では、問診結果rs5で病院名rs31、rs32に「複数あり」と表示し、携帯電話Mでこれを指定すると、ソート画面st1が表示されるようにした。このソート条件は、所定の条件を選択するもののほか、検索フォームからキーワードを入力して一致するものを列挙するようにしてもよい。本実施の形態では、両方のソート条件を備えたものを示した。これらのソート条件を個々に使用し、あるいは組合せて使用することにより、列挙された病院名から、図11で説明した予約フォームを表示させるようにしてもよい。図4で説明した事項と同じ事項については同一の符号を付し、詳細な説明は省略する。
FIG. 12 is a diagram showing a display example of a screen for sorting the hospital list. As an inquiry result, a plurality of hospital information may be read out for one cause column (namely, disease name). In this case, not only the hospitals may be displayed at random, but also rearranged from the mobile phone M according to a predetermined sorting condition. In the present embodiment, the hospital name rs31 and rs32 are displayed as “multiple” in the inquiry result rs5, and when this is designated by the mobile phone M, the sort screen st1 is displayed. As this sort condition, in addition to selecting a predetermined condition, a keyword may be input from a search form to list matching items. In the present embodiment, the one having both sort conditions is shown. By using these sort conditions individually or in combination, the reservation form described in FIG. 11 may be displayed from the listed hospital names. The same items as those described in FIG. 4 are denoted by the same reference numerals, and detailed description thereof is omitted.
なお、前記ソート条件としては、GPS機能を利用して現在の位置情報から近隣の病院の一覧を表示するもの、本システムが備える予約機能を採択している病院を上位に表示するもの、本システムの利用に関する提携をして広告などを掲載している病院を上位に表示するものなど、多様なものが考えられる。なお、この広告掲載の価格は、診療科と地域によりオークション形式で変動するようにしてもよい。
The sort condition includes a list of neighboring hospitals based on the current location information using the GPS function, a list of hospitals adopting the reservation function provided in the system, and the system. Various things are possible, such as displaying hospitals that advertise in the form of tie-ups on the use of the Internet. Note that the price of this advertisement may be changed in an auction format depending on the department and region.
本実施の形態では、病院情報として前記読み出された診療科目名に対応可能な病院名しか表示していないが、例えば、病院名をクリックすると更に詳細な病院情報が表示されたり、当該病院のホームページなどにジャンプするようにしてもよい。また、患者と医師の掲示板や病院の口コミ情報の登録機能を備えるようにしてもよい。
In the present embodiment, only the hospital name that can correspond to the read medical subject name is displayed as the hospital information. For example, when the hospital name is clicked, more detailed hospital information is displayed, You may make it jump to a homepage etc. Also, a bulletin board for patients and doctors and a word-of-mouth information registration function for hospitals may be provided.
〔第4の実施形態〕
図13は第4の実施形態にかかるサーバ1のブロック構成図を示したものである。第1の実施形態におけるサーバ1の構成要素と同一のものについては同一の符号を付し、詳細な説明は省略する。図1の自動問診システムが第4実施形態でも使用される。本実施の形態では、最終的診断された疾病名にかかる前記診断結果データをサーバ1で受付けて、これを問診結果データで表示された疾病名と比較して一致率を算出し、算出された一致率を前記係数とともに各疾病名データに付与する機能を追加している。この診断結果データの受付けから一致率の算出をし、疾病名/診療科目名データ格納部107の疾病名データに付与する処理は、フィードバック処理部111で行われる。 [Fourth Embodiment]
FIG. 13 is a block diagram of theserver 1 according to the fourth embodiment. The same components as those of the server 1 in the first embodiment are denoted by the same reference numerals, and detailed description thereof is omitted. The automatic inquiry system of FIG. 1 is also used in the fourth embodiment. In the present embodiment, the diagnosis result data relating to the finally diagnosed disease name is received by the server 1, and this is compared with the disease name displayed in the inquiry result data to calculate the coincidence rate. A function of adding a matching rate to each disease name data together with the coefficient is added. The feedback processing unit 111 performs the process of calculating the coincidence rate from the reception of the diagnosis result data and assigning it to the disease name data in the disease name / clinical subject name data storage unit 107.
図13は第4の実施形態にかかるサーバ1のブロック構成図を示したものである。第1の実施形態におけるサーバ1の構成要素と同一のものについては同一の符号を付し、詳細な説明は省略する。図1の自動問診システムが第4実施形態でも使用される。本実施の形態では、最終的診断された疾病名にかかる前記診断結果データをサーバ1で受付けて、これを問診結果データで表示された疾病名と比較して一致率を算出し、算出された一致率を前記係数とともに各疾病名データに付与する機能を追加している。この診断結果データの受付けから一致率の算出をし、疾病名/診療科目名データ格納部107の疾病名データに付与する処理は、フィードバック処理部111で行われる。 [Fourth Embodiment]
FIG. 13 is a block diagram of the
図14はフィードバック処理部111で行われる処理工程の概略を示す図である。フィードバック処理部111では、問診結果生成部106で生成された問診結果データを読み出すとともに(S101)、最終的な診断結果データを受け取る(S102)。この診断結果データは、病院の通信端末hから、例えば、最終的な診断結果がなされた旨の表示とともに、送受信部101で受信して受付けるようにすればよい。双方のデータから、疾病名が一致するか否かの処理をする(S103)。このとき、診断結果データと問診結果データの疾病名が単に一致するか否かを判断するだけでなく、診断結果データで最終的に確定した疾病名が、問診結果データで前記係数の降順で表示された何番目の疾病名と一致するかによって、所定の係数を乗算した一致率を算出する。たとえば、前記降順の最初に表示された疾病名と診断結果データで確定した疾病名が一致すれば、100%の一致率として算出するが、前記降順の2番目以降に表示された疾病名が診断結果データで確定した疾病名と一致する場合は、順次90%、80%などとなるように前記所定の係数を設定すればよい。一致率が算出されると、この一致率を疾病名/診療科目名データ格納部107の疾病名データの係数とともに、表示するように格納していけばよい(S104)。従って、次に、同一条件で問診結果データを生成する場合は、この一致率も表示されるようになる。なお、著しく一致率が低い場合や、新型のインフルエンザなどの場合は、この一致率を定期的にウォッチングし、一致率が向上するように前記係数を変更すれば、アップ・トゥー・デートで信頼性の高いシステムを構築することができる。
FIG. 14 is a diagram showing an outline of processing steps performed in the feedback processing unit 111. The feedback processing unit 111 reads out the inquiry result data generated by the inquiry result generation unit 106 (S101) and receives final diagnosis result data (S102). The diagnosis result data may be received and received by the transmission / reception unit 101 from the hospital communication terminal h together with, for example, an indication that the final diagnosis result has been made. From both data, it is processed whether or not the disease names match (S103). At this time, not only whether the diagnosis result data and the diagnosis result data coincide with each other, but also the disease name finally determined by the diagnosis result data is displayed in descending order of the coefficients in the diagnosis result data. The matching rate is calculated by multiplying a predetermined coefficient depending on the number of the disease name that has been matched. For example, if the disease name displayed first in the descending order matches the disease name determined by the diagnosis result data, it is calculated as a match rate of 100%. However, the disease name displayed after the second descending order is diagnosed. If the disease data matches the disease name determined by the result data, the predetermined coefficient may be set so as to be 90%, 80%, etc. in order. When the coincidence rate is calculated, the coincidence rate may be stored so as to be displayed together with the coefficient of the disease name data in the disease name / clinical subject name data storage unit 107 (S104). Therefore, when the inquiry result data is generated next under the same conditions, the matching rate is also displayed. If the matching rate is extremely low or a new type of influenza, etc., the matching rate is regularly monitored and the coefficient is changed to improve the matching rate. A high system can be constructed.
〔第5の実施形態〕
図15は第5の実施形態にかかるサーバ1のブロック構成図を示したものである。第1の実施形態におけるサーバ1の構成要素と同一のものについては同一の符号を付し、詳細な説明は省略する。図1の自動問診システムが第5実施形態でも使用される。本実施の形態では、問診結果データから、症状に関連する商品やサービス情報を疾病名、診療科目名、係数、病院情報と併せて、あるいは、別に表示する機能を追加している。サーバ1は商品/サービス情報格納部112を有し、疾病名/診療科目名データが疾病名/診療科目名データ格納部107から読み出されると、この疾病名/診療科目名データに関連する商品/サービス情報を商品/サービス情報格納部112から読み出し、問診結果データにこの読み出された商品/サービス情報を含めて出力する。なお、読み出す商品/サービス情報は、疾病名データによって疾病名/診療科目名データと紐付けておけばよい。 [Fifth Embodiment]
FIG. 15 is a block diagram of theserver 1 according to the fifth embodiment. The same components as those of the server 1 in the first embodiment are denoted by the same reference numerals, and detailed description thereof is omitted. The automatic inquiry system of FIG. 1 is also used in the fifth embodiment. In the present embodiment, a function for displaying the product and service information related to the symptom from the inquiry result data together with or separately from the disease name, medical subject name, coefficient, and hospital information is added. The server 1 has a product / service information storage unit 112. When disease name / clinical subject name data is read from the disease name / clinical subject name data storage unit 107, the product / service related data related to the disease name / clinical subject name data / The service information is read from the product / service information storage unit 112 and the inquiry result data is output including the read product / service information. The product / service information to be read out may be associated with the disease name / clinical subject name data by the disease name data.
図15は第5の実施形態にかかるサーバ1のブロック構成図を示したものである。第1の実施形態におけるサーバ1の構成要素と同一のものについては同一の符号を付し、詳細な説明は省略する。図1の自動問診システムが第5実施形態でも使用される。本実施の形態では、問診結果データから、症状に関連する商品やサービス情報を疾病名、診療科目名、係数、病院情報と併せて、あるいは、別に表示する機能を追加している。サーバ1は商品/サービス情報格納部112を有し、疾病名/診療科目名データが疾病名/診療科目名データ格納部107から読み出されると、この疾病名/診療科目名データに関連する商品/サービス情報を商品/サービス情報格納部112から読み出し、問診結果データにこの読み出された商品/サービス情報を含めて出力する。なお、読み出す商品/サービス情報は、疾病名データによって疾病名/診療科目名データと紐付けておけばよい。 [Fifth Embodiment]
FIG. 15 is a block diagram of the
図16は商品/サービス情報を伴う問診結果の表示例を示す図である。商品/サービス情報は、問診結果が得られたときに、病院情報とともに、例えば、市販の薬品、健康食品、健康グッズなどの商品情報や、指圧サービス、湯治温泉、健康志向の料理を提供するレストラン、スポーツジムなどのサービス情報を提供してもよい。さらに、図8のS13で説明したように、係数が閾値未満の症状の場合(いわゆる未病の場合)、問診結果の疾病名は「該当なし」であっても、何らかのケア情報提供のために、この症状改善に役立つ商品/サービスを表示させるようにしてもよい。図16の問診結果rs6では、後者の疾病名として該当原因なしの場合に商品/サービス情報を表示させている。図4で説明した事項と同じ事項については同一の符号を付し、詳細な説明は省略する。なお、図示しないが、前記問診結果データに含まれる商品/サービス情報には、この商品/サービス情報が表示された携帯電話Mから、インターネット網Nを介して商品の購入データ、サービスの申込データを送信するための購入/申込入力フォームデータが含まれるようにしてもよい。この場合、携帯電話Mで購入/申込入力フォームに入力すると、直接店舗の通信端末s(図1参照)に入力データが送信されるようにすればよい。
FIG. 16 is a diagram showing a display example of an inquiry result accompanied with product / service information. The product / service information includes the hospital information and product information such as commercially available medicines, health foods, health goods, shiatsu services, yuji hot springs, health-oriented dishes, etc. Service information such as sports gyms may be provided. Further, as described in S13 of FIG. 8, in the case of a symptom whose coefficient is less than the threshold (so-called non-disease), even if the name of the disease in the interview result is “not applicable”, for providing some care information The products / services useful for improving the symptoms may be displayed. In the inquiry result rs6 of FIG. 16, the product / service information is displayed when there is no corresponding cause as the latter disease name. The same items as those described in FIG. 4 are denoted by the same reference numerals, and detailed description thereof is omitted. Although not shown, the product / service information included in the inquiry result data includes product purchase data and service application data via the Internet N from the mobile phone M on which the product / service information is displayed. Purchase / application input form data for transmission may be included. In this case, if the purchase / application input form is entered by the mobile phone M, the input data may be transmitted directly to the communication terminal s (see FIG. 1) of the store.
〔第6の実施形態〕
コンピュータを上記各実施形態のいずれかに記載のサーバ1として機能させるプログラムも本発明の範囲に含まれる。 [Sixth Embodiment]
A program that causes a computer to function as theserver 1 described in any of the above embodiments is also included in the scope of the present invention.
コンピュータを上記各実施形態のいずれかに記載のサーバ1として機能させるプログラムも本発明の範囲に含まれる。 [Sixth Embodiment]
A program that causes a computer to function as the
1:サーバ
101:送受信部
102:問診票生成部
103:第1問診データ格納部
104:第2問診データ格納部
105:第3問診データ格納部
106:問診結果生成部
107:疾病名/診療科目名データ格納部
108:演算部
109:属性データ登録部
110:病院情報格納部
111:フィードバック処理部
112:商品/サービス情報格納部 1: Server 101: Transmission / reception unit 102: Questionnaire slip generation unit 103: First interview data storage unit 104: Second interview data storage unit 105: Third interview data storage unit 106: Interview result generation unit 107: Disease name / clinical subject Name data storage unit 108: operation unit 109: attribute data registration unit 110: hospital information storage unit 111: feedback processing unit 112: product / service information storage unit
101:送受信部
102:問診票生成部
103:第1問診データ格納部
104:第2問診データ格納部
105:第3問診データ格納部
106:問診結果生成部
107:疾病名/診療科目名データ格納部
108:演算部
109:属性データ登録部
110:病院情報格納部
111:フィードバック処理部
112:商品/サービス情報格納部 1: Server 101: Transmission / reception unit 102: Questionnaire slip generation unit 103: First interview data storage unit 104: Second interview data storage unit 105: Third interview data storage unit 106: Interview result generation unit 107: Disease name / clinical subject Name data storage unit 108: operation unit 109: attribute data registration unit 110: hospital information storage unit 111: feedback processing unit 112: product / service information storage unit
Claims (21)
- 通信端末から通信回線網を介して問診要求を受け付けて、この通信端末に問診票を表示させ、この問診票に対して前記通信端末により入力された入力データに基づいて、問診結果データを生成し、この問診結果データを前記通信端末に表示させるサーバを備えた自動問診システムであって、
前記サーバは、
身体上の部位又は上位の症状を格納した第1問診データ格納手段と、
前記第1問診データ格納手段の各部位で認められる症状又は前記上位の症状に対応する中位の症状を格納した第2問診データ格納手段と、
前記第2問診データ格納手段の各症状を程度別に細分化した下位の症状を格納した第3問診データ格納手段と、
前記第1乃至第3問診データ格納手段から前記問診データを読み出して前記問診票を生成する問診票生成手段と、
疾病名とこの疾病名に対して診察可能な診療科目名とを対応させた疾病名/診療科目データ格納手段と、
前記入力データに対応する疾病名/診療科目名を前記疾病名/診療科目データ格納手段から読み出して問診結果データを生成する問診結果生成手段とを備え、
前記問診票生成手段は、前記第1問診データ格納手段から問診データを読み出して第1問診票を生成し、前記第2問診データ格納手段から、前記第1問診票に対する第1入力データに対応する問診データを読み出して第2問診票を生成し、前記第3問診データ格納手段から、この第2問診票に対する第2入力データに対応する問診データを読み出して第3問診票を生成し、前記問診結果生成手段は、前記第3問診票に対する第3入力データに基づいて上記疾病名/診療科目名を読み出すことを特徴とする自動問診システム。 An interrogation request is received from a communication terminal via a communication line network, an interrogation form is displayed on the communication terminal, and interrogation result data is generated based on input data input by the communication terminal for the interrogation form. , An automatic inquiry system comprising a server for displaying the inquiry result data on the communication terminal,
The server
First interrogation data storage means storing a part on the body or a higher symptom;
Second interrogation data storage means storing a symptom recognized at each part of the first interrogation data storage means or a middle symptom corresponding to the higher symptom;
Third interrogation data storage means for storing subordinate symptoms obtained by subdividing each symptom of the second interrogation data storage means according to degree;
An inquiry form generating means for reading the inquiry data from the first to third inquiry data storage means and generating the inquiry form;
A disease name / medical subject data storage means that associates a disease name with a medical subject name that can be examined for the disease name;
An interrogation result generating means for reading out the disease name / clinical subject name corresponding to the input data from the disease name / clinical subject data storage means and generating interrogation result data;
The interview form generating means reads out the interview data from the first interview data storage means to generate a first interview form, and corresponds to the first input data for the first interview form from the second interview data storage means. Reading out the inquiry data to generate a second inquiry form, reading out the inquiry data corresponding to the second input data for the second inquiry form from the third inquiry data storage means to generate a third inquiry form, and generating the inquiry A result generating means reads out the disease name / medical subject name based on the third input data for the third inquiry form. - 前記疾病名/診療科目データ格納手段は前記第3問診データに対応した1以上の疾病名データを有し、各疾病名データは、前記第3問診データから推測される罹患可能性について所定の係数を付与することによって重み付けされ、前記問診結果生成手段は、前記疾病名/診療科目データ格納手段から、疾病名/診療科目データから疾病名/診療科目名とともに前記係数が読み出され、読み出された疾病名/診療科目名及び前記係数から問診結果データを生成することを特徴とする請求項1記載の自動問診システム。 The disease name / clinical subject data storage means has one or more disease name data corresponding to the third inquiry data, and each disease name data is a predetermined coefficient for the morbidity estimated from the third inquiry data. The interrogation result generation means reads out the coefficient from the disease name / clinical subject data storage means together with the disease name / clinical subject name from the disease name / clinical subject data, and reads the coefficient. The automatic inquiry system according to claim 1, wherein inquiry result data is generated from the disease name / medical subject name and the coefficient.
- 前記問診結果生成手段は、単一の前記疾病名データに対応する第3問診データから第3入力データが複数入力されると、この入力された第3問診データで付与されている各係数を加算し、前記単一の疾病名データに対する係数を求める演算手段を有することを特徴とする請求項2記載の自動問診システム。 When the plurality of third input data is input from the third inquiry data corresponding to the single disease name data, the inquiry result generation means adds each coefficient given by the input third inquiry data. 3. The automatic inquiry system according to claim 2, further comprising a calculation means for obtaining a coefficient for the single disease name data.
- 前記問診結果生成手段は、前記係数が、所定の閾値以上の疾病名データと一致する疾病名を疾病名/診療科目データ格納手段から読み出すことを特徴とする請求項2または請求項3記載の自動問診システム。 4. The automatic diagnosis apparatus according to claim 2, wherein the inquiry result generation unit reads a disease name having a coefficient that matches disease name data having a predetermined threshold value or more from a disease name / medical subject data storage unit. Interview system.
- 前記入力データに被問診対象者の属性データを含め、前記演算手段は、入力された属性データに基づいて、前記係数に対して所定の数値を増減させることを特徴とする請求項2から請求項4までのいずれかに記載の自動問診システム。 The attribute data of the person to be examined is included in the input data, and the calculation means increases or decreases a predetermined numerical value with respect to the coefficient based on the input attribute data. The automatic inquiry system according to any one of 4 to 4.
- 前記サーバは前記属性データを登録する属性データ登録手段を有し、前記演算手段は、前記第3入力データを入力した被問診対象者の属性データを前記属性データ登録手段から読み出して、前記係数に対して読み出された属性データに基づく前記所定の数値の増減を行うことを特徴とする請求項5記載の自動問診システム。 The server has attribute data registration means for registering the attribute data, and the calculation means reads the attribute data of the person to be examined who has inputted the third input data from the attribute data registration means, and uses it as the coefficient. 6. The automatic inquiry system according to claim 5, wherein the predetermined numerical value is increased or decreased based on the attribute data read out.
- 前記サーバは病院情報格納手段を有し、前記問診結果生成手段は、前記読み出された疾病名/診療科目データに該当する診療が可能な病院に関する病院情報を前記病院情報格納手段から読み出して、問診結果データに含めることを特徴とする請求項1から請求項6までのいずれかに記載の自動問診システム。 The server has hospital information storage means, and the inquiry result generation means reads hospital information about a hospital capable of medical treatment corresponding to the read disease name / clinical subject data from the hospital information storage means, The automatic inquiry system according to any one of claims 1 to 6, wherein the automatic inquiry system is included in the inquiry result data.
- 前記病院情報には、病院情報が表示された前記通信端末から、前記通信回線網を介して病院の予約が可能な予約入力フォームデータが含まれていることを特徴とする請求項7記載の自動問診システム。 8. The automatic information according to claim 7, wherein the hospital information includes reservation input form data capable of making a reservation for a hospital through the communication line network from the communication terminal displaying the hospital information. Interview system.
- 前記問診結果生成手段は、複数の疾病名に対して、前記病院情報格納手段から各々異なる病院情報データが読み出されると、問診結果データを前記係数の降順で疾病名を並び替えるとともに、これらの疾病名に前記各病院情報を対応させて生成することを特徴とする請求項7又は請求項8記載の自動問診システム。 When different hospital information data are read from the hospital information storage unit for a plurality of disease names, the inquiry result generation unit rearranges the disease names in the descending order of the coefficients and sorts the disease names. 9. The automatic inquiry system according to claim 7, wherein each hospital information is generated in correspondence with a name.
- 前記問診結果生成手段は、前記病院情報格納手段から、同一の疾病名に対して複数の病院情報が読み出されると、問診結果データによって表示される複数の病院情報を前記通信端末から前記通信回線を介して指定された所定のソート条件に従って並び替えて生成することを特徴とする請求項7又は請求項8記載の自動問診システム。 When the plurality of hospital information is read for the same disease name from the hospital information storage unit, the inquiry result generation unit is configured to send a plurality of hospital information displayed by the inquiry result data from the communication terminal to the communication line. 9. The automatic inquiry system according to claim 7 or 8, wherein the automatic inquiry system is generated by rearranging according to a predetermined sort condition specified through the system.
- 前記問診結果生成手段は、前記読み出された病院情報のうち、前記通信端末から入力されたキーワードと一致する情報を含む病院情報を検索する検索手段を有し、この検索によって絞り込まれた病院情報データに基づいて前記並び替えを行うことを特徴とする請求項9又は請求項10記載の自動問診システム。 The inquiry result generation means includes search means for searching for hospital information including information that matches the keyword input from the communication terminal among the read hospital information, and the hospital information narrowed down by the search The automatic inquiry system according to claim 9 or 10, wherein the rearrangement is performed based on data.
- 前記予約入力フォームデータから病院の予約を行う場合に、問診結果データに表示されている病院情報のうち既に受診した病院があるときは、前記予約データの送信とともに、この受診した病院の診断結果データを転送することを特徴とする請求項8から請求項11までのいずれかに記載の自動問診システム。 When making a reservation for a hospital from the reservation input form data, if there is a hospital that has already been consulted among the hospital information displayed in the inquiry result data, the diagnosis result data of the hospital that has been consulted is transmitted along with the transmission of the reservation data. The automatic inquiry system according to any one of claims 8 to 11, wherein:
- 前記診断結果データは、前記属性データの既往歴として属性データ登録手段に追加されることを特徴とする請求項12記載の自動問診システム。 13. The automatic inquiry system according to claim 12, wherein the diagnosis result data is added to attribute data registration means as a history of the attribute data.
- 前記問診結果データで表示された疾病名と前記診断結果データで最終的に診断された疾病名との一致率を算出するフィードバック処理手段を有し、この一致率を前記係数とともに、各疾病名データに付与することを特徴とする請求項12記載の自動診断システム。 Feedback processing means for calculating a coincidence rate between a disease name displayed in the inquiry result data and a disease name finally diagnosed in the diagnosis result data; The automatic diagnosis system according to claim 12, wherein the automatic diagnosis system is provided.
- 前記サーバは商品/サービス情報格納手段を有し、前記問診結果生成手段は、前記読み出された疾病名/診療科目データに対して関連する商品またはサービス情報を前記商品/サービス情報格納手段から読み出して、問診結果データにこの読み出された商品またはサービス情報を含めて出力することを特徴とする請求項1から請求項14までのいずれかに記載の自動問診システム。 The server includes a product / service information storage unit, and the inquiry result generation unit reads a product or service information related to the read disease name / medical subject data from the product / service information storage unit. The automatic inquiry system according to any one of claims 1 to 14, wherein the read product or service information is included in the inquiry result data and output.
- 前記問診結果データに含まれる商品/サービス情報には、この商品/サービス情報が表示された前記通信端末から、前記通信回線網を介して商品の購入データ、サービスの申込データを送信するための購入/申込入力フォームデータが含まれることを特徴とする請求項15記載の自動問診システム。 The product / service information included in the inquiry result data includes a purchase for transmitting product purchase data and service application data via the communication line network from the communication terminal on which the product / service information is displayed. The automatic inquiry system according to claim 15, further comprising: application input form data.
- 前記問診結果生成手段は、前記所定の閾値未満の疾病名データに対して、関連する商品またはサービス情報を前記商品/サービス情報格納手段から読み出して、この読み出した商品またはサービス情報に基づいて問診結果データを生成することを特徴とする請求項15または請求項16記載の自動問診システム。 The inquiry result generation means reads related product or service information from the product / service information storage means for the disease name data less than the predetermined threshold, and the inquiry result is based on the read product or service information. The automatic inquiry system according to claim 15 or 16, wherein data is generated.
- コンピュータを請求項1から請求項17のいずれかに記載のサーバとして機能させるプログラム。 A program that causes a computer to function as the server according to any one of claims 1 to 17.
- 通信端末から通信回線網を介して問診要求を受け付けて、この通信端末に問診票を表示させ、この問診票に対して前記通信端末により入力された入力データに基づいて、問診結果データ生成し、この問診結果データを前記通信端末に表示させる自動問診方法であって、
前記問診要求があると、身体上の部位又は上位の症状が列挙された第1問診票を生成し、前記通信端末に送信するステップと、
この第1問診票に対して前記通信端末で身体上の部位又は上位の症状から選択がなされた第1入力データを受信するステップと、
前記受信した第1入力データに対応する身体上の部位で認められる症状又は前記上位の症状に対応する中位の症状を列挙した第2問診票を生成し、前記通信端末に送信するステップと、
この第2問診票に対して前記通信端末で、前記身体上の部位で認められる症状又は前記中位の症状から選択がなされた第2入力データを受信するステップと、
受信した前記第2入力データに対応する各症状を程度別に細分化した下位の症状を列挙した第3問診票を生成し、前記通信端末に送信するステップと、
この第3問診票に対して前記通信端末で、前記下位の症状から選択がなされた第3入力データを受信するステップと、
予め、第3問診票に列挙された前記下位の症状に対応させた疾病名及び診療科目名のデータを格納し、前記第3入力データに対応する疾病名及び診療科目名を読み出すステップと、
読み出された疾病名及び診療科目名を問診結果データとして前記通信端末に送信するステップとを有し、
前記疾病名には、第3問診データごとに罹患可能性を示す係数を付して重み付けをし、前記疾病名及び診療科目名を読み出すときに、併せてこの係数も読み出して問診結果データに含めることを特徴とする自動問診方法。 An inquiry request is received from a communication terminal via a communication line network, an inquiry form is displayed on the communication terminal, and an inquiry result data is generated based on input data input by the communication terminal for the inquiry form, An automatic inquiry method for displaying the inquiry result data on the communication terminal,
When there is the inquiry request, a step of generating a first inquiry form in which a part on the body or a higher-order symptom is listed and transmitting to the communication terminal;
Receiving the first input data selected from a part on the body or a higher symptom on the communication terminal for the first questionnaire;
Generating a second questionnaire listing symptom recognized at a site on the body corresponding to the received first input data or intermediate symptom corresponding to the higher-order symptom, and transmitting to the communication terminal;
Receiving the second input data selected from the symptom recognized at the site on the body or the intermediate symptom at the communication terminal for the second questionnaire;
Generating a third questionnaire that enumerates subordinate symptoms obtained by subdividing each symptom corresponding to the received second input data according to a degree, and transmitting to the communication terminal;
Receiving the third input data selected from the subordinate symptoms at the communication terminal with respect to the third questionnaire;
Storing the disease name and medical subject name data corresponding to the lower symptom listed in the third questionnaire beforehand, and reading the disease name and medical subject name corresponding to the third input data;
Transmitting the read disease name and medical subject name as inquiry result data to the communication terminal,
The disease name is weighted with a coefficient indicating the likelihood of being affected for each third inquiry data, and when the disease name and the subject name are read, the coefficient is also read and included in the inquiry result data. An automatic interview method characterized by that. - 前記下位の症状から複数の選択がなされた第3入力データにより読み出された疾病名に複数の係数が付されている場合は、各係数を加算して前記問診結果データに表示する係数とすることを特徴とする請求項19記載の自動問診方法。 In the case where a plurality of coefficients are added to the disease name read by the third input data in which a plurality of selections are made from the lower symptom, the coefficients are added to form a coefficient to be displayed in the inquiry result data. The automatic inquiry method according to claim 19, wherein:
- 前記係数に対して所定の閾値を設け、前記読み出された係数又は加算された係数がこの所定の閾値以上の場合は、前記問診結果データに、前記係数と共に前記疾病名及び診療科目名を表示し、閾値未満の場合は、前記問診結果データとして表示すべき疾病名が存在しないことを表示することを特徴とする請求項19又は請求項20記載の自動問診方法。 A predetermined threshold is provided for the coefficient, and when the read coefficient or the added coefficient is equal to or greater than the predetermined threshold, the disease name and the medical subject name are displayed together with the coefficient in the inquiry result data. 21. The automatic inquiry method according to claim 19 or 20, wherein if it is less than the threshold value, it is displayed that there is no disease name to be displayed as the inquiry result data.
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JP2019032862A (en) * | 2018-09-27 | 2019-02-28 | 株式会社ジャパンイノベーション | Psychiatric medial treatment auxiliary system, server, method, and program |
JP2020155123A (en) * | 2019-03-13 | 2020-09-24 | キヤノンメディカルシステムズ株式会社 | Medical interview device |
JP7479168B2 (en) | 2019-03-13 | 2024-05-08 | キヤノンメディカルシステムズ株式会社 | Interview device |
JP2021012515A (en) * | 2019-07-05 | 2021-02-04 | 富士フイルム株式会社 | Device, method, and program for processing information |
JP2022048703A (en) * | 2020-09-15 | 2022-03-28 | 株式会社シーエス・ワークス | Medical institution presentation system |
JP2022121600A (en) * | 2020-09-15 | 2022-08-19 | 株式会社シーエス・ワークス | Medical institution presentation system |
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JPWO2011016447A1 (en) | 2013-01-10 |
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