JP2008027099A - Diagnostic support system, diagnostic support method, and computer program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To perform support so that a doctor can judge the name of a disease of a patient more precisely. <P>SOLUTION: The name of disease inference processing server 1 is provided with: the symptom and name of disease table TL1 for storing diagnostic frequency data which indicate frequency that the doctor has diagnosed a particular disease for the patient of the symptom in the every past combination of the symptom and the name of disease; a main complaint data acquisition part 101 for acquiring main complaint data DT1 which indicate one or more symptoms of the patient to be diagnosed; a name of disease inference processing part 105 for inferring one or more names of disease of the patient on the basis of the diagnostic frequency data DTF related to each symptom indicated in the acquired main complaint data DT1; an inference data providing processing part 106 for providing the terminal device 3 of the doctor with inference result data DT4 which indicate inferred one or more names of diseases; and a table update processing part 103 for updating the diagnostic frequency data DTF for each combination of the symptom and the name of disease of the patient. <P>COPYRIGHT: (C)2008,JPO&INPIT

Description

  The present invention relates to a system and method for supporting a doctor.

  In recent years, computer systems have come to be used for various purposes in medical institutions such as hospitals or clinics. In addition, computer systems for various purposes have been proposed.

  Patent Document 1 describes a medical information system capable of handling patient medical information as electronic data. According to this medical information system, when referring to medical information, a doctor can display information of his / her attention in a format desired by the doctor. Therefore, the contents of the medical record to be grasped can be confirmed at a glance. Furthermore, according to this medical information system, it is possible to guarantee the authenticity of data and to display a layout in which data items having different data control methods are mixed at the time of content update, thereby assisting arbitrary layout design.

Patent Document 2 describes an electronic medical record input support server that supports input to an electronic medical record by a doctor. According to this electronic medical record input support server, the doctor can be provided with treatment and prescription candidates that match the history of injury such as the name of the disease and the patient's chronicity input in the electronic medical record. Thus, patient treatment and prescription determination can be easily performed.
Japanese Patent No. 3549049 JP 2005-242395 A

  As mentioned above, various computer systems have been proposed for use in medical institutions. However, there is a strong demand for a computer system that allows a doctor to more accurately determine a patient's disease name. This is because the judgment of the disease name is the starting point of medical practice for the treatment of patients.

  In view of the above, an object of the present invention is to support a doctor so that a patient's disease name can be determined more accurately.

  The diagnosis support system according to the present invention stores, for each combination of a symptom and a disease name, diagnosis frequency information indicating a frequency at which a doctor has previously diagnosed a patient having the symptom as a disease of the disease name. Information storage means, symptom input means for inputting one or more symptoms of a patient to be diagnosed, and each symptom of the patient input by the symptom input means stored in the diagnosis frequency information storage means Based on the diagnosis frequency information, the disease name estimation means for estimating one or more disease names of the patient, the disease name output means for outputting one or more disease names estimated by the disease name estimation means, and the doctor Diagnostic frequency information updating means for updating the diagnostic frequency information for each combination of the patient's symptom and disease name stored in the diagnostic frequency information storage means And wherein the door.

  Preferably, the frequency of the combination of a symptom and a disease name is the number of times a doctor has diagnosed a patient with the symptom in the past as having a disease of the disease name, and the diagnosis frequency information update unit includes the diagnosis frequency Information is updated by adding 1 to the frequency related to the diagnosis frequency information.

  Or the said disease name estimation means totals the value of the frequency shown by the said diagnosis frequency information for every disease name, and presumes that the disease name whose total value is more than predetermined value is a patient's disease name.

  Alternatively, the disease name estimation means totals the frequency values indicated in the diagnosis frequency information for each disease name, and estimates that a predetermined number of disease names in descending order of the total value are patient disease names.

  Alternatively, it has test result information acquisition means for acquiring test result information indicating the result of the patient's test, and the disease name estimation means acquires the patient's disease name from the test of the patient acquired by the test result information acquisition means. Guess based on the result information.

  ADVANTAGE OF THE INVENTION According to this invention, it can assist so that a doctor can judge a patient's disease name more correctly.

  1 is a diagram illustrating an example of the overall configuration of the diagnosis support system MSY, FIG. 2 is a diagram illustrating an example of a hardware configuration of the disease name estimation processing server 1, and FIG. 3 is an example of a functional configuration of the disease name estimation processing server 1. FIG. 4 is a diagram illustrating an example of a functional configuration of the terminal device 3.

  As shown in FIG. 1, the diagnosis support system MSY according to the present invention includes a disease name estimation processing server 1, a medical information server 2, a plurality of terminal devices 31, 32, 33,. . These devices are connected to each other via a communication line 4. As the communication line 4, a LAN, WAN, the Internet, an intranet, a public line, a dedicated line, or the like is used. Hereinafter, the terminal devices 31, 32, 33,... Are collectively referred to as “terminal device 3”.

The diagnosis support system MSY is installed in a medical institution such as a hospital or a clinic, and is used to support a doctor who diagnoses a patient. Hereinafter, a case where the diagnosis support system MSY is installed and used in a medical institution X having a plurality of medical departments will be described as an example.
As shown in FIG. 2, the disease name estimation processing server 1 includes a CPU 10a, a RAM 10b, a ROM 10c, a hard disk 10d, a display 10e, a keyboard 10f, a mouse 10g, a LAN card 10h, and the like.

  In the ROM 10c or the hard disk 10d, the main complaint data acquisition unit 101, the diagnostic data acquisition unit 102, the table update processing unit 103, the examination data acquisition unit 104, the disease name estimation processing unit 105, the estimation data provision processing unit 106, as shown in FIG. Programs and data for realizing functions such as a symptom disease name table TL1 and a test disease name table TL2 are stored. These programs and data are loaded into the RAM 10b as necessary, and the programs are executed by the CPU 10a.

  With such a configuration, the disease name estimation processing server 1 performs a process of estimating a disease name of a patient who receives a medical examination at the medical institution X, thereby assisting (supporting) the diagnosis of the doctor.

  The medical information server 2 manages medical chart data (that is, electronic medical chart) of a patient who has received a medical examination at the medical institution X, examination result data, and the like. That is, it plays the role of a server of the electronic medical record system. As the medical information server 2, a known server that manages medical chart data and examination result data is used.

  At least one terminal device 3 is installed in each medical department room of the medical institution X. An application for a client of the electronic medical record system is installed in the hard disk of the terminal device 3, and the doctor browses and inputs the contents of the patient's medical record (electronic medical record) by operating the terminal device 3, or It can be corrected. As the terminal device 3, a personal computer or a workstation is used.

  Furthermore, the hard disk of the terminal device 3 is for realizing functions such as the chief complaint data provision processing unit 301, the diagnostic data provision processing unit 302, the estimation data acquisition unit 303, and the estimation result display processing unit 304 as shown in FIG. Programs and data are stored.

  FIG. 5 is a diagram showing an example of the medical chart screen HG1, FIG. 6 is a diagram showing an example of the symptom disease name table TL1, FIG. 7 is a flowchart for explaining an example of the flow of table update processing, and FIG. 8 is an example of the examination disease name table TL2 FIG. 9 is a flowchart illustrating an example of the flow of disease name estimation processing, and FIG. 10 is a diagram illustrating an example of a disease name estimation result screen HG2.

  Next, the processing content of each part of the disease name estimation processing server 1 shown in FIG. 3 and each part of the terminal device 3 shown in FIG. 4 will be described in detail.

  In FIG. 4, the main complaint data provision processing unit 301 of the terminal device 3 performs processing for providing the disease name estimation processing server 1 with data indicating the contents of the patient's symptoms and the like input by the doctor at the time of the examination. The diagnostic data provision processing unit 302 performs processing for providing the disease name estimation processing server 1 with data indicating the contents of diagnosis for the patient input by the doctor at the time of the examination. These processes are performed in the following procedure.

  When the doctor examines the patient, the medical record screen HG1 of the patient to be examined as shown in FIG. 5 is displayed on the display of the terminal device 3 by the application for the client of the electronic medical record system installed in the terminal device 3. To display.

  Here, the doctor grasps the symptoms of the patient by observing the state of the patient or by interrogating the patient. The grasped symptom is input to the text box TX11 by operating the keyboard. Then, the determination button BN11 is clicked with the mouse. Then, the main complaint data provision processing unit 301 transmits the data input in the text box TX11 to the disease name estimation processing server 1 as the main complaint data DT1.

  Furthermore, the doctor determines the patient's disease name based on the result of examining or examining the patient. That is, make a diagnosis. The contents of the diagnosis result are input to the text box TX12 by operating the keyboard. Then, the determination button BN12 is clicked. Then, the diagnostic data provision processing unit 302 transmits the data input in the text box TX12 to the disease name estimation processing server 1 as diagnostic data DT2 in association with the identification information (for example, patient ID) of the patient.

  In order to identify that the main complaint data DT1 and the diagnostic data DT2 are related to the same examination, a unique identification code may be issued and associated with both data.

  In this way, data indicating the patient's symptoms and the contents of the diagnosis is provided to the disease name estimation processing server 1. The doctor can make a diagnosis by referring to the disease name estimated by the disease name estimation processing server 1. This will be described later. In addition, data input to the text boxes TX11 and TX12 is also transmitted to the medical care information server 2 for management of the electronic medical record as before.

  In FIG. 3, the main complaint data acquisition unit 101 of the disease name estimation processing server 1 performs processing for receiving the main complaint data DT <b> 1 transmitted from the terminal device 3. That is, the main complaint data DT1 is acquired. The diagnostic data acquisition unit 102 performs processing for receiving the diagnostic data DT2 transmitted from the terminal device 3. That is, a process for acquiring the diagnostic data DT2 is performed.

  In the symptom disease name table TL1, information indicating what kind of diagnosis the doctor has made when symptoms are seen in the patient is gradually accumulated. Specifically, as shown in FIG. 6, the diagnosis frequency data DTF is stored in the symptom disease name table TL1 for each combination of the symptom and the disease name. The “matching score” indicates the number of times, that is, the frequency with which a doctor diagnoses that the patient's disease is the disease of the disease name when the symptoms are seen. For example, the diagnosis frequency data DTF at the top of FIG. 6 indicates that the number of times that a doctor has diagnosed “upper airway inflammation” in the past when the symptom of “head ache” is seen is “twice”. ing.

  Thus, it can be said that the symptom disease name table TL1 is a database that accumulates data on the relationship between the symptom and the disease name diagnosed by the doctor.

  The table update processing unit 103 updates the matching score of the diagnosis frequency data DTF already stored in the symptom disease name table TL1, or adds new diagnosis frequency data DTF to the symptom disease name table TL1, etc. Process to update. Such processing is performed according to the procedure shown in FIG. 7 based on the main complaint data DT1 acquired by the main complaint data acquisition unit 101 and the diagnostic data DT2 acquired by the diagnostic data acquisition unit 102.

  In FIG. 7, the table update processing unit 103 extracts the patient's disease name from the diagnosis result indicated in the diagnostic data DT2 acquired by the diagnostic data acquiring unit 102 (# 501). Of the main complaint data DT1 acquired by the main complaint data acquisition unit 101, the main complaint data DT1 corresponding to the diagnosis data DT2 (that is, for example, the same identification code) is selected, and the patient is selected from the main complaint indicated in the main complaint data DT1. Are extracted (# 502).

The disease name may be extracted by the following method, for example. A keyword indicating a known disease name is registered in the database in advance. The word (word) of the character string of the diagnostic data DT2 is divided.
Then, the disease name indicated in the diagnostic data DT2 is extracted by matching each keyword registered in the database with a word included in the diagnostic data DT2. Alternatively, the disease name may be extracted by a known method. The same applies to the extraction of symptoms.

  A combination of the extracted symptom and disease name is obtained (# 503). For example, when five symptoms and one disease name are extracted, five combinations are obtained.

  Focusing on the first combination among the obtained combinations (# 504, # 505), the diagnosis frequency data DTF corresponding to the combination is searched from the symptom disease name table TL1 (# 506). If the diagnosis frequency data DTF is found (Yes in # 507), “1” is added to the matching score of the diagnosis frequency data DTF (# 508).

  If not found (No in # 507), the diagnosis frequency data DTF for the combination is newly generated and registered in the symptom disease name table TL1 (# 509). For example, when the diagnosis frequency data DTF corresponding to the combination of the symptom “heavy head” and the disease name “epidemic cold” is not found, the diagnosis frequency data DTF indicating the symptom and disease name is newly generated, and the symptom Register in the disease name table TL1. “1” is stored in the matching score of the diagnosis frequency data DTF.

  The same processing is performed for the remaining combinations. Thereby, the update process of the symptom disease name table TL1 is completed.

  Returning to FIG. 3, the test disease name table TL2 indicates what kind of disease is likely when the test value is as shown in FIG. 8. For example, the first record in the figure indicates that if the test value (numerical value) of the test item “γGTP” satisfies the condition “100 or more”, it is highly likely that the disease has the disease name “cirrhosis”. Show. In addition, as data of the test disease name table TL2, known data obtained by a clinical experiment or the like is used.

  The examination data acquisition unit 104 performs a process of requesting the examination information DT3 indicating the result of the examination of the patient related to the main complaint data DT1 acquired by the main complaint data acquisition unit 101 to the medical information server 2 and receiving it. That is, a process for acquiring the inspection data DT3 is performed.

  The disease name estimation processing unit 105 performs a process of estimating the disease name of the patient being examined by the doctor based on the main complaint data DT1 of the patient acquired by the main complaint data acquisition unit 101, the symptom disease name table TL1 of FIG. . When the examination data acquisition unit 104 can obtain the examination data DT3 of the patient, the estimation process is performed with reference to the examination data DT3 and the examination disease name table TL2 in FIG. Such processing is performed, for example, according to the procedure shown in FIG.

  In FIG. 9, the disease name estimation processing unit 105 extracts patient symptoms from the main complaint data DT1 acquired by the main complaint data acquisition unit 101 (# 521).

  Focusing on the first symptom among the extracted symptoms (# 522, # 523), the diagnosis frequency data DTF indicating the symptom is searched from the symptom disease name table TL1 (# 524). If the diagnosis frequency data DTF is found (Yes in # 525), if there is a disease name counter indicated in the diagnosis frequency data DTF (Yes in # 526), the matching score indicated in the diagnosis frequency data DTF The value is added to the counter (# 528). If there is no disease name counter indicated in the diagnosis frequency data DTF (No in # 526), a new disease name counter is generated (# 527), and a matching score value indicated in the diagnosis frequency data DTF is generated. Is added to the generated counter (# 528). Note that the initial value of the counter is “0”. The same processing is performed for the remaining extracted symptoms.

  By the way, in step # 524, a plurality of diagnosis frequency data DTF may be found for one symptom. In this case, the processes of steps # 526 to # 528 are executed for the disease name indicated by each diagnosis frequency data DTF.

  For example, assume that six diagnosis frequency data DTF are currently stored in the symptom disease name table TL1, as shown in FIG. If the symptom “head hurts” is extracted in step # 521, three diagnostic frequency data DTF indicating “upper airway inflammation”, “influenza”, and “pneumonia” are found in step # 524.

  Here, the disease name estimation processing unit 105 executes the processes of steps # 526 to # 528 for each of these three disease names. That is, if there is no counter corresponding to the disease name, it is generated. Then, “2” is added to the “upper respiratory tract” counter, “5” is added to the “flu” counter, and “4” is added to the “pneumonia” counter.

  Or, if only two symptoms, “Head is heavy” and “Head is painful” are extracted in Step # 521, the result of finishing the processing of Steps # 524 to # 528 for each symptom is “Upper”. The value of the “airway inflammation” counter is “2”, the value of the “flu” counter is “3 + 5 = 8”, and the value of the “pneumonia” counter is “4”.

  Returning to the flowchart, when the processing of steps # 523 to # 528 is completed for all the symptoms extracted in step # 521 (Yes in # 529), the patient may have this time based on the value of each disease name counter The name of the disease with a high is selected as follows (# 531).

  For example, a predetermined number of counters are selected in descending order, and disease names corresponding to the counters are selected. Alternatively, a disease name corresponding to a counter indicating a predetermined value or more is selected.

  The disease name selected in this way is the result of disease name estimation by the disease name estimation processing unit 105.

  Alternatively, when the test data acquisition unit 104 acquires the patient's test data DT3, the disease name estimation processing unit 105 not only displays the main complaint data DT1 and the symptom disease name table TL1, but also the test data DT3 and the test disease name of FIG. The patient's disease name may be estimated by referring to the table TL2.

  For example, by comparing the numerical value of the test result shown in the test data DT3, that is, the test value with the value of the “number” field of each record of the test disease name table TL2, the disease name of the disease that the patient is likely to have is selected. .

  And only the disease name selected by this comparison among the disease names selected in step # 531 of FIG. 9 is set as the estimation result. Alternatively, both the disease name selected in step # 531 in FIG. 9 and the disease name selected by the current comparison may be used as the estimation result.

  Returning to FIG. 3, the estimation data provision processing unit 106 indicates the result of providing the result of the estimation of the patient's disease name performed by the disease name estimation processing unit 105 to the doctor who is examining the patient. The estimation result data DT4 is transmitted to the terminal device 3 operated by the doctor. Note that the value of each disease name counter may also be included in the estimation result data DT4.

  In FIG. 4, the estimation data acquisition unit 303 of the terminal device 3 performs a process of accepting the estimation result data DT <b> 4 transmitted from the disease name estimation processing server 1. That is, the process of acquiring the estimation result data DT4 is performed.

  The estimation result display processing unit 304 generates a disease name estimation result screen HG2 as shown in FIG. 10 based on the estimation result data DT4 acquired by the estimation data acquisition unit 303, and displays this on the display. The doctor refers to the disease name estimation result screen HG2 and diagnoses the patient.

  Note that for a while after the operation of the diagnosis support system MSY is started, the number of diagnosis frequency data DTF stored in the symptom disease name table TL1 is small. Or it is not stored at all. Therefore, the diagnosis frequency data DTF searched in step # 524 in FIG. 9 may not be found. In that case, the disease name estimation processing server 1 transmits a message to that effect to the disease name estimation processing server 1 instead of the estimation result data DT4.

  FIG. 11 is a flowchart for explaining an example of the overall processing flow of the disease name estimation processing server 1 and the terminal device 3.

  Next, the flow of processing of the disease name estimation processing server 1 and the terminal device 3 when a doctor examines a single patient will be described with reference to flowcharts.

  In FIG. 11, the terminal device 3 displays the patient's chart screen HG1 (see FIG. 5) (# 31). Here, the doctor makes an inquiry to the patient or visually checks the state of the patient. The patient tells the doctor what symptoms he is aware of and answers questions from the doctor. Then, the doctor inputs the symptom that can be grasped into the text box TX11 and clicks the decision button BN11.

  Then, the terminal device 3 accepts the content input in the text box TX11 (# 32), and transmits the main complaint data DT1 indicating the content to the disease name estimation processing server 1 (# 33).

  When the disease name estimation processing server 1 receives the main complaint data DT1 (# 11), if the examination data DT3 of the patient is stored in the medical information server 2, it downloads it from the medical information server 2 (# 12).

  Based on the main complaint data DT1 and the symptom disease name table TL1 (see FIG. 6), the disease name of the patient is estimated (# 13). If the test data DT3 can be downloaded, the test data DT3 and the test disease name table TL2 in FIG. The procedure of the estimation process is as described above with reference to FIG.

  Then, the disease name estimation processing server 1 transmits the estimation result data DT4 indicating the estimation result to the terminal device 3 that is the transmission source of the main complaint data DT1 (# 14).

  Upon receiving the estimation result data DT4 (# 34), the terminal device 3 generates and displays a disease name estimation result screen HG2 as shown in FIG. 10 based on this (# 35).

  Here, the doctor diagnoses a disease that the patient has while referring to the content of the disease name estimation result screen HG2. Then, the diagnosis result is input to the text box TX12 of the medical chart screen HG1.

  Note that the content of the disease name estimation result screen HG2 is merely an estimation result based on a doctor's rule of thumb. Therefore, the final judgment of the disease name is the responsibility of the doctor. In particular, when the disease name estimation processing server 1 has just begun to operate, attention must be paid because sufficient data is not stored in the symptom disease name table TL1 and the reliability of the estimation result may be low.

  And the terminal device 3 receives the content input into the text box TX12 (# 36), and transmits diagnostic data DT2 indicating the content to the disease name estimation processing server 1 (# 37).

  Upon receiving the diagnosis data DT2 (# 15), the disease name estimation processing server 1 performs a process of updating the symptom disease name table TL1 based on the diagnosis data DT2 and the main complaint data DT1 received in step # 11 (# 16). Such processing is as described above with reference to FIG.

  According to the present embodiment, it is possible to analyze what kind of diagnosis the doctor makes when there are symptoms in the patient, and learn the analysis result. Furthermore, the patient's disease name can be estimated based on the patient's symptoms using the analysis result, and the doctor can be notified of the estimated result. Therefore, it is possible to assist a doctor who makes a diagnosis.

  In addition, minor disease names that tend to be hidden in major disease names can be detected and notified to the doctor. Therefore, it is possible to prevent misdiagnosis. Further, by sharing the symptom disease name table TL1 among a plurality of doctors, it is possible to allow young doctors to use the empirical rules of diagnosis by experienced doctors.

  FIG. 12 is a diagram showing an example of an input template. In this embodiment, the symptom and the disease name are input to the text boxes TX11 and TX12 (see FIG. 5) using the keyboard. However, a template showing options as shown in FIGS. Symptoms and disease names may be entered by selecting them with a mouse.

  In the present embodiment, the terminal device 3 transmits the main complaint data DT1 and the diagnostic data DT2 to both the medical information server 2 and the terminal device 3, but transmits only to the medical information server 2 as usual, and the medical information server 2 is the terminal. The main complaint data DT1 and diagnostic data DT2 from the device 3 may be given to the disease name estimation processing server 1.

  The doctor does not need to make a diagnosis immediately after the disease name estimation result screen HG2 is displayed. The examination may be continued by looking at the contents of the disease name estimation result screen HG2. For example, after seeing the contents of the disease name estimation result screen HG2, another question is given to the patient, the answer is added to the text box TX11, and the main complaint data DT1 is transmitted to the disease name estimation processing server 1 again. It may be executed again. Alternatively, after viewing the contents of the disease name estimation result screen HG2, a necessary examination may be performed on the patient, and after the examination result is registered in the medical information server 2, the estimation process may be executed again.

  The doctor can also correct a previously diagnosed disease name to another disease name. In this case, the doctor causes the terminal device 3 to display a chart screen HG1 indicating the contents of the chart to be corrected, and corrects the contents of the text box TX12. Then, the disease name estimation processing server 1 reduces the matching score of the diagnosis frequency data DTF for each combination of the disease name and symptom before correction by “1”, and executes the process of FIG. 7 again to correct the disease name after correction. The matching score of the diagnosis frequency data DTF for each combination of symptom and symptom is added by “1”.

  In addition to the patient's symptoms, information regarding the patient's environment or lifestyle may be entered in the text box TX11. For example, you can enter information about your occupation, home, family structure, illnesses around you, season at the time of examination, average sleep time, yesterday's sleep time, intake of luxury goods, recently eaten food, etc. May be. Then, for each combination of these matters and the disease name determined by the doctor, diagnosis frequency data DTF may be prepared and the causal relationship between the two may be analyzed.

  In this embodiment, an example in which the diagnosis support system MSY is realized by a server client type system has been described. However, the present invention can also be realized by a stand-alone system using a single computer.

  For example, the reception device of the medical institution X may use the terminal device 3 as follows for patient reception. The receptionist asks a simple question to the patient. An answer from the patient is input, and a command is given to the disease name estimation processing server 1 so as to estimate the disease name. Then, based on the estimation result obtained from the disease name estimation processing server 1, it is determined to which department the patient is to be distributed.

  A copy of the symptom disease name table TL1 of the disease name estimation processing server 1 of the medical institution X can be installed and used in the disease name estimation processing server 1 of another medical institution.

  In addition, the diagnosis support system MSY, the disease name estimation processing server 1, the entire terminal device 3 or the configuration of each unit, the processing content, the processing order, the table configuration, and the like can be appropriately changed in accordance with the spirit of the present invention.

In the embodiment described above, the following notes are also disclosed.
(Appendix 1)
For each combination of symptom and disease name, a diagnosis frequency information storage means for storing diagnosis frequency information indicating a frequency at which a doctor has diagnosed a disease of the disease name in the past for a patient having the symptom;
A symptom input means for inputting one or more symptoms of a patient to be diagnosed;
Based on the diagnosis frequency information relating to each symptom of the patient input by the symptom input means, stored in the diagnosis frequency information storage means, a disease name estimation means for estimating one or more disease names of the patient;
Disease name output means for outputting one or more disease names estimated by the disease name estimation means;
After the doctor diagnoses the patient, the diagnosis frequency information update means for updating the diagnosis frequency information for each combination of the patient's symptom and disease name stored in the diagnosis frequency information storage means,
A diagnostic support system comprising:
(Appendix 2)
The frequency of the combination of the symptom and the disease name is the number of times that a doctor has diagnosed the patient with the symptom in the past as having the disease of the disease name,
The diagnosis frequency information update means updates the diagnosis frequency information by adding 1 to the frequency related to the diagnosis frequency information.
The diagnosis support system according to appendix 1.
(Appendix 3)
The disease name inference means aggregates the value of the frequency indicated in the diagnosis frequency information for each disease name, and estimates that the disease name whose total value is a predetermined value or more is a patient's disease name.
The diagnostic support system according to Supplementary Note 1 or Supplementary Note 2.
(Appendix 4)
The disease name inference means aggregates the frequency values shown in the diagnosis frequency information for each disease name, and presumes that a predetermined number of disease names selected in descending order of the aggregated values are patient disease names.
The diagnostic support system according to Supplementary Note 1 or Supplementary Note 2.
(Appendix 5)
Having test result information acquisition means for acquiring test result information indicating a result of a patient test,
The disease name estimation means estimates a patient's disease name based on the test result information of the patient acquired by the test result information acquisition means.
The diagnostic support system according to any one of supplementary notes 1 to 4.
(Appendix 6)
For each combination of symptom and disease name, diagnosis frequency information indicating the frequency with which a doctor has diagnosed the disease of the disease name in the past as a disease for the patient with the symptom in the past is stored in the diagnosis frequency information storage means,
Enter one or more symptoms of the patient to be diagnosed,
Based on the diagnosis frequency information relating to each symptom of the input patient, which is stored in the diagnosis frequency information storage means, infer one or more disease names of the patient,
Output one or more guessed disease names,
After the doctor diagnoses the patient, the diagnostic frequency information for each combination of the patient's symptom and disease name stored in the diagnostic frequency information storage means is updated.
A diagnostic support method characterized by the above.
(Appendix 7)
A computer program used in a computer for assisting a doctor in diagnosing a patient,
Entering one or more symptoms of the patient to be diagnosed;
The diagnosis frequency information stored in the diagnosis frequency information storage means for each combination of a symptom and a disease name, and input of diagnosis frequency information indicating the frequency with which a doctor has diagnosed the patient with the symptom as a disease of the disease name in the past Based on the diagnosis frequency information relating to each symptom of the patient who has performed, a process of inferring one or more disease names of the patient,
Processing to output one or more estimated disease names;
After the doctor diagnoses the patient, a process of updating the diagnosis frequency information for each combination of the patient's symptom and disease name stored in the diagnosis frequency information storage unit;
A computer program for causing a computer to execute.
(Appendix 8)
A diagnosis frequency database that can be referred to by a computer that assists a doctor in diagnosing a patient,
For each combination of symptom and disease name, store diagnostic frequency data indicating how often a doctor has diagnosed the patient with the symptom as having the disease name in the past, and
When a doctor diagnoses a patient, the frequency of the diagnosis frequency data relating to a combination of the patient's symptom and disease name is updated by a computer.
Diagnostic frequency database characterized by that.

It is a figure which shows the example of the whole structure of a diagnostic assistance system. It is a figure which shows the example of the hardware constitutions of a disease name estimation process server. It is a figure which shows the example of a functional structure of a disease name estimation process server. It is a figure which shows the example of a functional structure of a terminal device. It is a figure which shows the example of a medical chart screen. It is a figure which shows the example of a symptom disease name table. It is a flowchart explaining the example of the flow of a table update process. It is a figure which shows the example of a test disease name table. It is a flowchart explaining the example of the flow of a disease name estimation process. It is a figure which shows the example of a disease name estimation result screen. It is a flowchart explaining the example of the flow of the whole process of a disease name estimation process server and a terminal device. It is a figure which shows the example of the template for input.

Explanation of symbols

MSY Diagnosis Support System 101 Chief complaint data acquisition unit (symptom input means)
103 Table update processing unit (diagnosis frequency information update means)
105 Disease name estimation processing unit (disease name estimation means)
106 Prediction data provision processing part (disease name output means)
304 Prediction result display processing unit (disease name output means)
DTF diagnosis frequency data (diagnosis frequency information)
TL1 Symptom disease name table (diagnosis frequency information storage means)

Claims (5)

For each combination of symptom and disease name, a diagnosis frequency information storage means for storing diagnosis frequency information indicating a frequency at which a doctor has diagnosed a disease of the disease name in the past for a patient having the symptom;
A symptom input means for inputting one or more symptoms of a patient to be diagnosed;
Based on the diagnosis frequency information relating to each symptom of the patient input by the symptom input means, stored in the diagnosis frequency information storage means, a disease name estimation means for estimating one or more disease names of the patient;
Disease name output means for outputting one or more disease names estimated by the disease name estimation means;
After the doctor diagnoses the patient, the diagnosis frequency information update means for updating the diagnosis frequency information for each combination of the patient's symptom and disease name stored in the diagnosis frequency information storage means,
A diagnostic support system comprising: The frequency of the combination of the symptom and the disease name is the number of times that a doctor has diagnosed the patient with the symptom in the past as having the disease of the disease name,
The diagnosis frequency information update means updates the diagnosis frequency information by adding 1 to the frequency related to the diagnosis frequency information.
The diagnosis support system according to claim 1. The disease name inference means aggregates the value of the frequency indicated in the diagnosis frequency information for each disease name, and estimates that the disease name whose total value is a predetermined value or more is a patient's disease name.
The diagnosis support system according to claim 1 or 2. For each combination of symptom and disease name, diagnosis frequency information indicating the frequency with which a doctor has diagnosed the disease of the disease name in the past as a disease for the patient with the symptom in the past is stored in the diagnosis frequency information storage means,
Enter one or more symptoms of the patient to be diagnosed,
Based on the diagnosis frequency information relating to each symptom of the input patient, which is stored in the diagnosis frequency information storage means, infer one or more disease names of the patient,
Output one or more guessed disease names,
After the doctor diagnoses the patient, the diagnostic frequency information for each combination of the patient's symptom and disease name stored in the diagnostic frequency information storage means is updated.
A diagnostic support method characterized by the above. A computer program used in a computer for assisting a doctor in diagnosing a patient,
Entering one or more symptoms of the patient to be diagnosed;
The diagnosis frequency information stored in the diagnosis frequency information storage means for each combination of a symptom and a disease name, and input of diagnosis frequency information indicating the frequency with which a doctor has diagnosed the patient with the symptom as a disease of the disease name in the past Based on the diagnosis frequency information relating to each symptom of the patient who has performed, a process of inferring one or more disease names of the patient,
Processing to output one or more estimated disease names;
After the doctor diagnoses the patient, a process of updating the diagnosis frequency information for each combination of the patient's symptom and disease name stored in the diagnosis frequency information storage unit;
A computer program for causing a computer to execute.