JP2016139221A - Disease diagnosis system, disease diagnosis program, and computer readable recording medium that stores program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a disease diagnosis system capable of more highly precisely determine a disease name, a disease diagnosis program, and a computer readable recording medium that stores the program.SOLUTION: A disease diagnosis system 1 includes a first presentation unit 11 that, when the names of disease candidates are entered, extracts diagnostic deeds associated with the entered disease names, from a diagnostic deed storage unit 51, and presents the diagnostic deeds to a doctor; a first narrowing unit 12 that, when body finding information corresponding to the presented diagnostic deeds is entered, narrows the entered names of disease candidates, on the basis of the storage contents of a body finding storage unit 52; a second presentation unit 13 that extracts examinations associated with the narrowed disease names, from an examination storage unit 53, and presents the examinations to the doctor; a second narrowing unit 14 that, when examination results corresponding to the presented examinations are entered, further narrows the disease names that are narrowed by the first narrowing unit 12, on the basis of the storage contents of an examination result storage unit 54; and a third presentation unit 15 that presents a result of narrowing to the doctor.SELECTED DRAWING: Figure 3

Description

  The present invention relates to a disease name diagnosis apparatus, a disease name diagnosis program, and a computer-readable recording medium storing the program.

  2. Description of the Related Art Conventionally, an automatic diagnosis apparatus has been proposed in which a user inputs a symptom or the like that occurs in the computer to determine a disease name on the computer (see, for example, Patent Document 1). In such an automatic medical examination apparatus, the content of the medical inquiry is displayed as an image prior to the determination of the disease name, and the user makes a reply to the content of the medical inquiry.

JP 2001-344340 A

  However, the automatic medical examination device described in Patent Document 1 is limited to determining a candidate for a disease name, and cannot accurately diagnose a disease name. In particular, an apparatus for diagnosing a disease name is desired to have high diagnosis accuracy of the disease name.

  The present invention has been made to solve such a conventional problem, and an object of the present invention is to store a disease name diagnosis apparatus, a disease name diagnosis program, and a program capable of diagnosing a disease name with higher accuracy. Another object of the present invention is to provide a computer-readable recording medium.

  The disease name diagnosis apparatus of the present invention is a disease name diagnosis apparatus used for diagnosis of a disease name by a doctor, and is a candidate for first storage means that compares a disease name with a diagnosis act to be performed in order to determine the disease name. When a disease name is input, the first presentation means for extracting the diagnosis action corresponding to the input disease name from the first storage means and presenting it to the doctor is compared with the disease name and the physical findings obtained by the disease name. When the second storage means and the information of the physical findings corresponding to the examination act presented by the first presentation means are input, the input candidate is based on the stored contents of the second storage means. The first narrowing means for narrowing down the disease name, the third storage means for comparing the disease name and the examination to be performed to determine the disease name, and the examination corresponding to the disease name narrowed down by the first narrowing down means Third A second presentation means extracted from the memory means and presented to the doctor, a fourth storage means for comparing the disease name and the examination result obtained by the disease name, and an examination according to the examination presented by the second presentation means When the result is input, the second narrowing means for further narrowing down the disease names narrowed down by the first narrowing means based on the contents stored in the fourth storage means, and narrowing down by the second narrowing means And third presentation means for presenting the result to a doctor.

  According to the disease name diagnosis apparatus of the present invention, when a candidate disease name is input, a diagnosis action to be performed is extracted and presented to the doctor, so that an erroneous diagnosis action due to a misunderstanding or memory difference by the doctor is performed. This can be prevented. In addition, when the information of physical findings according to the examination action is input, in order to narrow down the candidate disease name that has been input, to extract the examination to be performed for the narrowed disease name and present it to the doctor, It is possible to prevent erroneous examinations due to misunderstandings and memory mistakes by doctors. Furthermore, when the test result is input, the narrowed down disease names are further narrowed down and the results are presented to the doctor, so that errors can be prevented in the final diagnosis of the disease name. Therefore, the disease name can be diagnosed with higher accuracy.

  The present invention further includes a pathological condition determining function unit that determines a candidate for a disease name based on the answer result, and the pathological condition determining function unit selects one or more symptom items from a plurality of predetermined symptom items. First display control means for displaying a screen, fifth storage means for storing question contents set for each of the plurality of symptom items, and symptom items selected on the screen displayed by the first display control means The set question contents are read from the fifth storage means and sequentially displayed on the screen, and the question contents of each symptom item input on the screen sequentially displayed by the second display control means A sixth memory for storing a symptom result judging means for judging the result for each symptom according to the answer result, and a disease name candidate table in which candidate disease names are assigned to the result for each symptom And disease name candidate determination means for determining a disease name candidate by applying a result for each symptom determined by the symptom result determination means to the disease name candidate table stored by the sixth storage means, The question content stored in the fifth storage means is composed of a quantitative question that asks the amount, a qualitative question that asks the nature, and a time question that asks the time about the symptom indicated by the symptom item. When a candidate for a disease name determined by a disease name candidate determination unit is input, it is preferable to extract a diagnosis action to be performed by the first storage unit and present it to a doctor.

  According to this disease name diagnosis apparatus, the content of the question is composed of a quantitative question that asks the amount, a qualitative question that asks the nature, and a time question that asks the time for the symptoms indicated by the symptom item. Here, the present inventor judges the severity of symptoms themselves from three viewpoints of quantitative, qualitative, and temporal based on medical viewpoints, and integrates them to eliminate omissions. We found that candidate disease names can be extracted. That is, the present inventor has found that, in general, misdiagnosis by a doctor occurs, for example, by asking only the amount and determining without questioning the time or nature. Therefore, by inputting answers to questions from three viewpoints, the result of the symptom (the severity and the cause of the occurrence of the symptom (for example, the bronchi and the trachea when the symptom is "cough") Etc.) can be determined more accurately, and disease name candidates can be determined with higher accuracy by integrating these results and determining disease name candidates. In addition, since the diagnosis action to be performed by inputting a disease name candidate with high accuracy in this way is presented to the doctor, the disease name can be diagnosed with higher accuracy.

  Also, in the present invention, the first narrowing-down means includes at least one of information on answer results for the question contents of each symptom item input on the screen sequentially displayed by the second display control means. It is preferable to input as physical findings information corresponding to the examination act presented by the 1 presenting means, and narrow down the inputted candidates for the disease name based on the stored contents of the second storage means.

  According to this disease name diagnosis apparatus, at least one of information on the answer results to the question contents of each symptom item is input as physical findings information according to the examination action, and the input disease name candidates are narrowed down. Therefore, there is no need to reexamine information that has already been input in the pathological condition determination device such as “the fever is over OO ° C.”, which can lead to a smooth diagnosis of the disease name.

  Moreover, in this invention, it is preferable that the said quantitative question, the said qualitative question, and the said time question ask only about the symptom which the said symptom item shows.

  According to this disease name diagnosis apparatus, the quantitative question, the qualitative question, and the time question ask only about the symptom indicated by the symptom item. Here, the present inventor further tends to easily generate a misdiagnosis by a doctor by asking a simultaneous question about a certain symptom and a symptom related to the symptom from a preconception at the time of an inquiry. I found out. Therefore, it can be said that each question asks only about the symptom, and preferably does not include the content that asks about the symptom indicated by other symptom items. By setting it as such a question, the result for every symptom can be judged more correctly, and it can be connected with judging a disease name candidate more accurately.

  Further, in the present invention, it further includes a third storage unit that stores a symptom result table for determining the result for each symptom, and the second display control unit includes the quantitative question, the qualitative question, and the time question. A plurality of options for selecting an answer are displayed for each of the symptom results, and the symptom result table shows correspondence between the options selected for each of the quantitative question, the qualitative question, and the time question and the result for each symptom. The symptom result judging means applies the options selected in each of the quantitative question, the qualitative question, and the time question to the symptom result table stored in the third storage means. It is preferable to determine the result for each symptom.

  According to this disease name diagnosis apparatus, for each of a quantitative question, a qualitative question, and a time question, a plurality of options for selecting an answer are displayed, and the selected option is applied to a symptom result table to determine a result for each symptom. To do. For this reason, when a character is input without displaying an option, for example, a text box is displayed, an unanswered answer may be input, and the result for each symptom is erroneously determined. Sometimes. However, if it is above, possibility that the result for every symptom will be judged erroneously can be reduced.

  In the present invention, there is provided third display control means for displaying a screen for prompting input of at least one attribute information of age and gender, and the first display control means is inputted when the attribute information is inputted. It is preferable that a symptom item corresponding to the attribute classification to which the attribute information belongs is extracted from a plurality of symptom items stored in advance, and a screen for selecting one or more symptom items from the extracted symptom items is displayed.

  According to this disease name diagnosis apparatus, one or more symptom items corresponding to the attribute classification are displayed. For example, even if a symptom item of an infant under 1 year old includes “headache”, the infant cannot tell the presence or absence of a headache, which is a meaningless symptom item. In addition, even if the male symptom item includes “pain in the breast”, the symptom item is meaningless. As described above, by storing a plurality of symptom items based on a medical point of view according to at least one attribute information of age and sex, appropriate symptom items can be displayed for each age and gender.

  Further, in the present invention, according to the third display control means for displaying a screen for prompting input of at least one attribute information of age and sex, and the attribute classification indicating the classification of the attribute information, each of the plurality of symptom items And a fourth storage unit that stores options for the quantitative question, the qualitative question, and the time question, and the second display control unit includes an attribute to which the input attribute information belongs when the attribute information is input. It is preferable to read out and display the options corresponding to the classification from the fourth storage means.

  According to this disease name diagnosis apparatus, options are stored according to attribute classification. For example, infants, toddlers and children tend to be hotter than adults. For this reason, for example, in infants, toddlers, and children, the choice of the quantitative question “how many fever?” In the “fever” symptom item is “37 ° C. or higher and lower than 38.5 ° C.” “38.5 ° C.” If three of these are appropriate, for adults, the options are “37 ° C. or higher and lower than 37.5 ° C.” “37.5 ° C. or higher and lower than 38.5 ° C.” “38.5 ° C. or higher” Is appropriate. Also, women tend to be more constipated than men. For this reason, for example, in a symptom item of “constipation” in a woman, the choices of the time question “when stool last appeared” are “2 days before today”, “3 days before 6 days”, “1 week or more” In the case where three such as “before” are appropriate, it is appropriate for a man to select “today”, “yesterday or the day before yesterday”, and “three days or more ago”. Thus, by storing the options according to the attribute classification, it is possible to make an appropriate selection according to age and sex.

  The disease name diagnosis program of the present invention is a disease name diagnosis program for causing a computer to function as the disease name diagnosis apparatus described above.

  The computer-readable recording medium of the present invention is a computer-readable recording medium in which the disease name diagnosis program described above is recorded.

  According to these, the computer can be caused to function as the above-described disease name diagnosis apparatus.

  ADVANTAGE OF THE INVENTION According to this invention, the disease name diagnostic apparatus which can diagnose a disease name more accurately, a disease name diagnostic program, and the computer-readable recording medium which memorize | stored the program can be provided.

It is an external view which shows the disease name diagnostic apparatus which concerns on embodiment of this invention. It is a hardware block diagram which shows the disease name diagnostic apparatus which concerns on this embodiment. It is a software block diagram which shows the disease name diagnostic apparatus which concerns on this embodiment. It is a conceptual diagram which shows the memory content of the examination action memory | storage part shown in FIG. It is a conceptual diagram which shows the memory content of the physical finding memory | storage part shown in FIG. It is a conceptual diagram which shows the memory content of the test | inspection memory | storage part shown in FIG. It is a conceptual diagram which shows the memory content of the test result memory | storage part shown in FIG. It is a front view which shows the screen displayed by the 1st presentation part shown in FIG. It is a front view which shows the screen displayed by the 2nd presentation part shown in FIG. It is a front view which shows the screen displayed by the 3rd presentation part shown in FIG. It is a conceptual diagram which shows the memory content of the symptom item memory | storage part shown in FIG. It is a conceptual diagram which shows the memory content of the question content memory | storage part shown in FIG. It is a conceptual diagram which shows an example of the memory | storage content of the option memory | storage part shown in FIG. 3, and has shown the example of an option when an attribute division is a male and a woman 13 years or older. It is a conceptual diagram which shows an example of the memory content of the option memory | storage part shown in FIG. 3, and has shown the example of the option when an attribute division is 12 years old or less. It is a conceptual diagram which shows an example of the memory content of the symptom result table memory | storage part shown in FIG. 3, and has shown the example of the symptom result table when an attribute classification | category is a man and a woman 13 years or older. It is a conceptual diagram which shows an example of the memory content of the symptom result table memory | storage part shown in FIG. 3, and has shown the example of the symptom result table when an attribute division is 12 years old or less. It is a conceptual diagram which shows an example of the memory content of the disease name candidate table memory | storage part shown in FIG. 3, and has shown the normal candidate table. It is a conceptual diagram which shows an example of the memory content of the disease name candidate table memory | storage part shown in FIG. 3, and has shown the specific candidate table. It is a front view which shows the screen displayed by the 3rd display control part shown in FIG. It is a front view which shows the screen which selects a symptom item, and has shown the 1st example. It is a front view which shows the screen which selects a symptom item, and has shown the 2nd example. It is a front view which shows the screen which displays the question content and choice, and has shown the 1st example. It is a front view which shows the screen which displays the question content and choice, and has shown the 2nd example. It is a front view which shows an example of the screen which shows a disease name candidate. It is a flowchart which shows an example of operation | movement of the pathological condition determination function part which concerns on this embodiment, and has shown the first half part. It is a flowchart which shows an example of operation | movement of the disease state judgment function part which concerns on this embodiment, and has shown the second half part. It is a flowchart which shows an example of operation | movement of the disease name diagnostic function part which concerns on this embodiment.

  Hereinafter, preferred embodiments of the present invention will be described with reference to the drawings. However, the present invention is not limited to the embodiments. FIG. 1 is an external view showing a disease name diagnosis apparatus according to an embodiment of the present invention. A disease name diagnosis apparatus 1 shown in FIG. 1 is realized as one function of a personal computer, for example, and is operated by a doctor in a medical institution and used for diagnosis of a disease name. Such a disease name diagnosis apparatus 1 includes input means such as a keyboard 2 and a mouse 3, and diagnoses a disease name through an operation on the input means.

  In the following, the disease name diagnosis apparatus 1 will be described as one function of a personal computer. However, the present invention is not limited to this, and the disease name diagnosis apparatus 1 may be configured by a system in which a plurality of personal computers and servers are network-connected. .

  FIG. 2 is a hardware configuration diagram showing the disease name diagnosis apparatus 1 according to the present embodiment. As shown in FIG. 2, the disease name diagnosis apparatus 1 includes a CPU (Central Processing Unit) 10, a display 20, a communication I / F (interface) unit 30, and an HDD (Hard Disk Drive) 50.

  The CPU 10 controls the entire disease name diagnosis apparatus 1 according to the present embodiment, and includes a ROM (Read Only Memory) 10a and a RAM (Random Access Memory) 10b as shown in FIG. The ROM 10a is a read-only memory in which a disease name diagnosis program for causing the disease name diagnosis apparatus 1 to function is stored. The RAM 10b is a readable / writable memory that stores various data and has an area necessary for processing operations of the CPU 10.

  The display 20 displays an input image by operating the keyboard 2 or the mouse 3 or displays a disease name diagnosed by the disease name diagnosis apparatus 1. The communication I / F unit 30 is an interface for communicating with other devices. The contents stored in each of the storage units 51 to 59 to be described later may be acquired from other devices through the communication I / F unit 30.

  The HDD 50 is an auxiliary storage device connected to the personal computer. Similar to the ROM 10a, the HDD 50 may store a disease name diagnosis program for causing the disease name diagnosis apparatus 1 to function. That is, the CPU 10 may realize each function of the disease name diagnosis apparatus 1 according to the present embodiment in accordance with a program stored in the HDD 50. If possible, a USB or the like may be provided instead of or in addition to the HDD.

  FIG. 3 is a software configuration diagram showing the disease name diagnosis apparatus 1 according to the present embodiment. As shown in FIG. 3, the CPU 10 includes a disease name diagnosis function unit A and a disease state determination function unit B. The disease name diagnosis function unit A executes a disease name diagnosis program stored in the ROM 10a or the HDD 50, whereby a first presentation unit (first presentation unit) 11, a first narrowing unit (first narrowing unit) 12, and a first The 2 presentation unit (second presentation unit) 13, the second narrowing unit (second narrowing unit) 14, and the third presentation unit (third presentation unit) 15 function. Further, the disease state determination function unit B executes a disease name diagnosis program stored in the ROM 10a or the HDD 50, thereby performing a display control unit 16, a symptom result determination unit (symptom result determination unit) 17, and a disease name candidate determination unit (disease name candidate). Judgment means) 18 functions.

  As shown in FIG. 3, the HDD 50 includes a medical examination storage unit (first storage unit) 51, a physical finding storage unit (second storage unit) 52, an examination storage unit (third storage unit) 53, And an inspection result storage unit (fourth storage means) 54. In addition, the HDD 50 includes a symptom item storage unit 55, a question content storage unit (fifth storage unit) 56, an option storage unit (eighth storage unit) 57, and a symptom result table storage unit (seventh storage unit) 58. And a disease name candidate table storage unit (sixth storage means) 59.

  First, the disease name diagnosis function unit A and the storage units 51 to 54 related thereto will be described.

  The diagnosis act storage unit 51 is a storage unit that stores a disease name and a diagnosis act to be performed in order to confirm the disease name in comparison with each other. FIG. 4 is a conceptual diagram showing the stored contents of the examination action storage unit 51 shown in FIG. As shown in FIG. 4, the diagnosis act storage unit 51 stores a plurality of disease names, and stores a diagnosis action corresponding to each of these disease names.

  In the example shown in FIG. 4, the diagnostic action storage unit 51 stores “XX1” as the diagnostic action 1 for the disease name α, and stores “XX2” as the diagnostic action 2. XX1 is for example "Perform palpation to confirm whether there is pain in the left lower abdomen", XX2 is for example "Perform auscultation to confirm whether there is no disturbance in breathing sound" is there. In addition, the examination action storage unit 51 stores “XX1” as the examination action 1 for the disease name β, and stores “ΔΔ1” as the examination action 1 for the disease name γ. Xx1 is, for example, “perform palpation to confirm whether there is a lump in the left lower abdomen”, and ΔΔ1, for example, “perform auscultation to confirm whether heart sounds are not disturbed”, etc.

  Please refer to FIG. The physical finding storage unit 52 is a storage unit that stores a disease name and a physical finding obtained by the disease name in a contrasting manner. FIG. 5 is a conceptual diagram showing the stored contents of the physical finding storage unit 52 shown in FIG. As shown in FIG. 5, the physical finding storage unit 52 stores a plurality of disease names and also stores physical findings corresponding to these disease names.

  For example, for certain diseases, there is a tendency to obtain disturbances in heart sounds and breathing sounds as physical findings. Furthermore, with respect to other specific diseases, there is a tendency that pain or a lump at a specific location is obtained as a physical finding. The physical findings storage unit 52 stores data in which such physical findings by doctors are compared with disease names.

  In the example shown in FIG. 5, the physical finding storage unit 52 stores “pain in the left lower abdomen” as the physical finding 1 and stores “disturbed in breathing sound” as the physical finding 2 for the disease name α. Yes. The disease name β is stored as “physical findings 1” as “physical findings 1”, and the disease name γ is stored as “physical sound is disturbed” as physical findings 1.

  The physical finding storage unit 52 stores the physical findings obtained by performing the medical examination stored in the medical examination storage 51. For example, in the medical examination storage 51, the medical examination of the disease name γ is “△△ 1 (performs auscultation to confirm whether there is no disturbance in the heart sound) ”, whereas the physical finding of the disease name γ in the physical finding storage unit 52 is“ disturbed in the heart sound ”. That is, the stored contents of the examination action storage unit 51 and the physical findings storage unit 52 have a correspondence relationship. Therefore, these memory | storage parts 51 and 52 may be integrated and comprised by one memory | storage part.

  Please refer to FIG. The examination storage unit 53 is a storage unit that compares and stores the disease name and the examination to be performed to determine the disease name. FIG. 6 is a conceptual diagram showing the contents stored in the examination storage unit 53 shown in FIG. As shown in FIG. 6, the examination storage unit 53 stores a plurality of disease names, and examinations corresponding to these disease names.

  For example, in order to determine whether the patient has heart disease, examinations such as an electrocardiogram, a chest radiograph, and a cardiac catheter are performed. In addition, a stool test is performed for colorectal cancer. In addition, blood tests are performed for tests such as hepatitis and pancreatitis (such as GOT levels for hepatitis and serum amylase levels for pancreatitis). The examination storage unit 53 stores data in which such examination items are compared with disease names.

  In the example illustrated in FIG. 6, the test storage unit 53 stores “blood test (XX value)” as the test 1 for the disease name α and stores “stool” as the test 1 for the disease name β. In addition, “blood test (XX value)” is stored as the test 1 for the disease name γ. Note that the number of tests for each disease name is not limited to one.

  Please refer to FIG. The test result storage unit 54 is a storage unit that compares and stores a disease name and a test result that should be obtained based on the disease name. FIG. 7 is a conceptual diagram showing the contents stored in the inspection result storage unit 54 shown in FIG. As shown in FIG. 7, the test result storage unit 54 stores a plurality of disease names, and also stores test results corresponding to these disease names.

  For example, in colorectal cancer, blood is mixed in the stool or the stool becomes thin. Furthermore, in hepatitis, for example, the GOT value is 35 IU / I or more. In pancreatitis, the serum amylase value falls outside the range of 60 to 190 U / dl. The test result storage unit 54 stores data in which such test results are compared with disease names.

  In the example illustrated in FIG. 7, the test result storage unit 54 stores “XX value is greater than or equal to the X value” as the test result 1 for the disease name α, and “blood is mixed in the stool” as the test result 1 for the disease name β. I remember. " For the disease name γ, the test result 1 is stored as “XX value is outside the range of Y1 to Y2.”

  The test result storage unit 54 stores the results of the test stored in the test storage unit 53. For example, in the test storage unit 53, the test for the disease name α is “blood test (XX value)”. On the other hand, the test result of the disease name α in the test result storage unit 54 is “XX value is equal to or greater than X value”. That is, the stored contents of the inspection storage unit 53 and the inspection result storage unit 54 have a correspondence relationship. Therefore, these memory | storage parts 53 and 54 may be integrated and comprised by one memory | storage part.

  In addition, since each of the storage units 51 to 54 described above includes all items of disease names, it is configured by a single database that stores the contents of examination actions, physical findings, examinations, and test results with the disease name as the axis. May be.

  FIG. 3 will be referred to again. When a candidate disease name is input, the first presentation unit 11 extracts a diagnosis action corresponding to the input disease name from the diagnosis action storage unit 51 and presents it to the doctor. As a presentation method, there are a method of printing on a printer (not shown), a method of displaying an image on the display 20, and the like. When displaying on the display 20, for example, an image shown in FIG. 8 is displayed.

  FIG. 8 is a front view showing a screen displayed by the first presentation unit 11 shown in FIG. As shown in FIG. 8, for example, when α, β, and γ are input as candidate disease names, the diagnostic action corresponding to the disease names α, β, and γ described with reference to FIG. 4 is extracted and displayed as an image. The

  Specifically, as shown in FIG. 8, the diagnostic action AC1 corresponding to the disease name α “Check if there is pain in the lower left abdomen.” And “Is there a disorder in the breathing sound? Confirmation action content AC2 is displayed. Furthermore, the examination action corresponding to the disease name β "Check if there is a lump in the left lower abdomen." Examination action content AC3 and "Check whether there is any disturbance in the heart sound." AC4 is displayed. The doctor can perform the diagnostic action to be performed without error by displaying the above-described diagnostic action content AC.

  In addition, input items IT1 to IT4 for inputting physical findings information are displayed adjacent to each of the examination action contents AC1 to AC4. Each input item IT1 to IT4 has a radio button format. Specifically, the input item IT1 of the examination action content AC1 includes radio buttons capable of selecting either “with pain” or “without pain”. Similarly, the input item IT2 of the examination action content AC2 is composed of radio buttons capable of selecting either “Disturbance” or “No disturbance”, and the input item IT3 of the examination action content AC3 is “Lumped”. ”Or“ no lump ”is configured with radio buttons that can be selected. In addition, the input item IT4 of the examination action content AC4 includes radio buttons capable of selecting either “disturbed” or “not disturbed”.

  And if the information of the physical findings obtained by the doctor performing the examination action is input through the input means such as the keyboard 2 or the mouse 3, the first narrowing unit 12 functions.

  FIG. 3 will be referred to again. The first narrowing unit 12 becomes an input candidate based on the stored content of the physical finding storage unit 52 when information on physical findings corresponding to the examination act presented by the first presenting unit 11 is input. It narrows down disease names.

  For example, in the screen shown in FIG. 8, “with pain” is specified for the input item IT1, “with disorder” is specified for the input item IT2, “with lump” is specified for the input item IT3, and “ It is assumed that “no disturbance” is designated. In this case, the first narrowing-down unit 12 narrows down the disease name by comparing such designated input content with the stored content of the physical finding storage unit 52.

  That is, as shown in FIG. 5, the physical findings of the disease name α are “pain in left lower abdomen” and “disturbed in breathing sound”. In the above, “with pain” is designated in the input item IT1, and “disturbance” is designated in the input item IT2. For this reason, since both content corresponds, a patient may have the disease name (alpha). Similarly, the physical finding of the disease name β is “lump in the left lower abdomen”. In the above, “with lump” is specified in the input item IT3. For this reason, since both contents correspond, a patient may have the disease name β. On the other hand, the physical findings of the disease name γ are “disturbed in heart sounds”. On the other hand, “no disturbance” is designated in the input item IT3. Therefore, since the contents of both do not match, there is no possibility that the patient has the disease name γ. As described above, the first narrowing unit 12 narrows down disease names.

  The 2nd presentation part 13 extracts the test | inspection corresponding to the disease name narrowed down by the 1st narrowing-down part 12, from the test | inspection memory | storage part 53, and shows it to a doctor. As the presentation method, like the first presentation unit 11, there are a method of printing on a printer (not shown), a method of displaying an image on the display 20, and the like. When displaying on the display 20, the image shown, for example in FIG. 9 is displayed.

  FIG. 9 is a front view showing a screen displayed by the second presentation unit 13 shown in FIG. As shown in FIG. 9, for example, when the possibility of the disease name γ is denied by the first narrowing unit 12 and narrowed down to the disease name α and the disease name β, it corresponds to the disease names α and β described with reference to FIG. 5. The examination is extracted and displayed as an image.

  Specifically, as shown in FIG. 9, a test content IC1 “blood test (XX value)” which is a test corresponding to the disease name α and a test content IC2 “stool test” which is a test corresponding to the disease name β. Is displayed. The doctor can carry out an examination to be performed without error by displaying the examination content IC as described above.

  In addition, question items Q1 and Q2 for inquiring about inspection results and input items IT5 and IT6 for inputting information on the inspection results are displayed adjacent to each of the inspection contents IC1 to IC2. Each input item IT5, IT6 has a radio button format. Specifically, the question item Q1 of the examination content IC1 has a character display of “Is the XX value greater than or equal to the X value?”, And the input item IT5 is either “YES” or “NO”. It consists of selectable radio buttons. Similarly, the question item Q2 of the examination content IC2 has a character display “Is blood mixed in the stool?”, And the input item IT6 can select either “YES” or “NO”. It consists of various radio buttons.

  And if the doctor inputs the information of the test result obtained through the test through the input means such as the keyboard 2 or the mouse 3, the second narrowing unit 14 functions.

  FIG. 3 will be referred to again. The second narrowing unit 14 is narrowed down by the first narrowing unit 12 based on the stored contents of the test result storage unit 54 when the test result according to the test presented by the second presentation unit 13 is input. This further narrows down the disease name.

  For example, in the screen shown in FIG. 9, it is assumed that “YES” is specified for the input item IT5 and “NO” is specified for the input item IT6. In this case, the second narrowing unit 14 further narrows down disease names by comparing such designated input content with the stored content of the test result storage unit 54.

  That is, as shown in FIG. 7, the test result of the disease name α is “XX value is equal to or greater than X value” (that is, “YES” in the input item IT5 for the question item Q1). In the above, “YES” is designated in the input item IT5. For this reason, since both content corresponds, it can be said that a patient is the disease name (alpha). On the other hand, the test result of the disease name β is “blood in the stool” (ie, “YES” in the input item IT6 for the question item Q2). In the above, “NO” is designated in the input item IT6. Therefore, since the contents of both do not match, there is no possibility that the patient has the disease name β. As described above, the second narrowing unit 14 narrows down disease names.

  Refer to FIG. 3 again. The 3rd presentation part 15 presents the result narrowed down by the 2nd narrowing-down part 14 to a doctor. As the presentation method, like the first presentation unit 11, there are a method of printing on a printer (not shown), a method of displaying an image on the display 20, and the like. When displaying on the display 20, for example, an image shown in FIG. 10 is displayed.

  FIG. 10 is a front view showing a screen displayed by the third presentation unit 15 shown in FIG. As shown in FIG. 10, for example, when the possibility of the disease name β is denied by the second narrowing unit 14 and narrowed down to the disease name α, the third presentation unit 15 can determine, for example, “the disease name is α. The final result FR is displayed as an image.

  As described above, the doctor can obtain the final result FR by inputting the candidate for the disease name, performing the presented examination act and test, and inputting the physical findings and the test result. In addition, since an erroneous diagnosis or examination is prevented, the name of the disease can be diagnosed more accurately.

  In the above description, a single disease with the disease name α remains as the final result FR. However, the present invention is not limited to this. For example, a disease that can occur simultaneously in a plurality of places such as cancer, that is, a plurality of diseases. In the case where the symptom is accompanied, a plurality of diseases are displayed as the final result FR. Furthermore, when there is no correct disease name among the disease name candidates initially input by the doctor, an image display that prompts the user to input another disease name candidate may be displayed as the final result FR. In addition, as described above, the test result input format is a method of selecting an option, but if possible, a format in which a numerical value or the like is directly input may be used.

  Here, if the doctor cannot input the correct disease name candidate, the disease name is not presented to the doctor as the final result FR. Therefore, in order to prevent such a situation, the disease state determination function unit B is important.

  Next, the pathological condition determination function unit B and the storage units 55 to 59 related thereto will be described.

  The symptom item storage unit 55 shown in FIG. 3 stores a plurality of predetermined symptom items. FIG. 11 is a conceptual diagram showing the contents stored in the symptom item storage unit 55 shown in FIG. As shown in FIG. 11, the symptom item storage unit 55 stores X items (X is an integer of 2 or more, and in the example shown in FIG. 11, is an integer of at least 22). The symptom item is an item indicating an abnormality occurring in a subject who determines a candidate for a disease name, for example, “having fever”, “coughing”, “habiting”, “headache”, “pain in breast” There are painful joints, diarrhea, constipation, runny nose, convulsions, etc.

  Furthermore, the symptom item storage unit 55 stores each symptom item in association with the attribute classification. Here, the attribute classification is classification based on age and sex (attribute information classification), and in this embodiment, five attribute classifications are set. In the disease name diagnosis apparatus 1 according to the present embodiment, attribute information indicating age and sex can be input to the disease name diagnosis apparatus 1 through an operation on the keyboard 2 and the mouse 3. The disease name diagnosis apparatus 1 determines which of the five attribute categories it belongs to based on the input age and sex.

  The five attribute categories are, for example, “0 to 11 months (first category)”, “1 to 3 years (second category)”, “4 to 12 years (third category)” and “male 13 years or older (fourth category). Category) ”and“ Female over 13 years old (5th category) ”. The symptom item storage unit 55 stores each symptom item in association with these five attribute categories. Specifically, for the 16th symptom item “headache”, “−” for “0 to 11 months”, “−” for “1 to 3 years”, and “4 to 12 years” “○” and “◯” for “13 years and older” and “○” for “13 and older” are stored. Similarly, for the 17th symptom item “pain in breast” “−” for “0 to 11 months”, “−” for “1 to 3 years”, “4 to 12 years” "-" For "13", "-" for "male and older" and "O" for "female 13 and older".

  In addition, in this embodiment, although attribute information means both age and sex, it is not restricted to this, Either one of age or sex may be sufficient. Needless to say, in either case, the attribute classification is different from that shown in FIG.

  FIG. 3 will be referred to again. The question content storage unit 56 stores the question content set for each of the plurality of symptom items. FIG. 12 is a conceptual diagram showing the storage contents of the question content storage unit 56 shown in FIG. As shown in FIG. 12, the question content storage unit 56 stores three types of questions, a quantitative question, a qualitative question, and a time question, for each of the plurality of symptom items shown in FIG.

  Here, the quantitative question is a question about the amount. That is, the quantitative question is a question in which the number of times, temperature, frequency, etc. itself is an answer, for example, questions such as “how many times of cough per day?” It is.

  The time question is a question for asking time. That is, the time question is a question in which the time (including time, time, interval, and period) itself, such as how many days ago and when, is the answer, for example, “How many days ago was the fever?” “ Such as "When is the most severe time of cough?"

  A qualitative question is a question that asks about its nature. In more detail, a qualitative question is a question that asks about the nature of a symptom, and in a broad sense is a question whose answer is neither quantity nor time. For example, “A dry cough?” “What color is a sputum?” Are qualitative questions.

  Note that one or more quantitative questions, qualitative questions, and time questions are set for each symptom item.

  For example, the question content storage unit 56 stores two quantitative questions, “How many times is the current heat?” And “How many times have you gone up?” For the symptom item “I have fever”. Also, the question content storage unit 56 has one qualitative question “Will the heat fall at dawn?” And “1 When did the fever start?” For the symptom item “having fever”. Remember one time question. The question content storage unit 56 similarly stores one or more quantitative questions, qualitative questions, and time questions for other symptom items.

  FIG. 3 will be referred to again. The option storage unit 57 stores options for selecting answers to quantitative questions, qualitative questions, and time questions for each of a plurality of symptom items. The option storage unit 57 stores options according to the attribute classification.

  13 and 14 are conceptual diagrams showing an example of the contents stored in the option storage unit 57 shown in FIG. 3, and FIG. 13 shows an example of options when the attribute classification is a male and a female who are 13 years old or older. FIG. 14 shows an example of options when the attribute classification is 12 years or younger. In the examples shown in FIGS. 13 and 14, the options are common to the first to third categories, and the options are common to the fourth and fifth categories. The storage unit 57 may store different options for each attribute category.

  As shown in FIG. 13, the option storage unit 57 stores options when the attribute classification is a man and a woman who are 13 years old or older. For example, in the quantitative question 1 of the symptom item “having fever” (“how many is the current fever?”), “37.0 ° C. or more and less than 37.5 ° C.” is stored as the first option, and “37 “5 ° C. or higher and lower than 38.5 ° C.” is stored as the second option, and “38.5 ° C. or higher” is stored as the third option.

  Similarly, for example, in the qualitative question 1 of the symptom item “cough comes out” (“breathing after cough?”), The option storage unit 57 selects “a breathing sound“ hu ”” as the first option. And “says“ zeze ”” as a second option.

  As shown in FIG. 14, the option storage unit 57 stores options when the attribute classification is 12 years or younger. For example, in the quantitative question 1 of the symptom item “having fever” (“how many times is the current heat?”), “37.0 ° C. or more and less than 38.5 ° C.” is stored as the first option, and “38 .5 ° C. or higher and lower than 39.5 ° C. ”is stored as the second option, and“ 39.5 ° C. or higher ”is stored as the third option.

  Similarly, for example, in the qualitative question 1 of the symptom item “cough comes out” (“breathing after cough?”), The option storage unit 57 selects “a breathing sound“ hu ”” as the first option. Are stored as the second option, and “becomes difficult to breathe” is stored as the third option.

  Refer to FIG. 3 again. The symptom result table storage unit 58 stores a symptom result table for determining a result for each symptom. This symptom result table stores a correspondence relationship between options selected for each of the quantitative question, the qualitative question, and the time question and the result for each symptom. Similar to the option storage unit 57, the symptom result table storage unit 58 stores a symptom result table having a correspondence relationship according to the attribute classification.

  15 and 16 are conceptual diagrams showing an example of the contents stored in the symptom result table storage unit 58 shown in FIG. 3, and FIG. 15 is a symptom result table when the attribute classification is a man and a woman who are 13 years old or older. FIG. 16 shows an example of a symptom result table when the attribute classification is 12 years or younger. In the examples shown in FIGS. 15 and 16, the symptom result table is common to the first to third sections, and the symptom result table is common to the fourth and fifth sections. Not limited to this, the symptom result table storage unit 58 may store different symptom result tables for each attribute category. 15 and 16 show a symptom result table for one symptom item (for example, “has fever”), but the symptom result table is not limited to one, and a symptom result table for each symptom item. The storage unit 58 stores a symptom result table.

  First, as described above, for the symptom item of “having fever”, two quantitative questions, one qualitative question, and one time question were set. Further, three options are provided for each of the two quantitative questions and one time question, and two options are provided for one qualitative question.

  For this reason, 3 × 3 × 2 × 3 = 54 patterns exist for the answer pattern. The symptom result table storage unit 58 stores the results (A1 to A54) for 54 answer patterns in association with each other. Specifically, when the attribute classification is male and female over 13 years old, as shown in FIG. 15, all the options selected as answers in the quantitative question 1, the quantitative question 2, the qualitative question 1, and the time question 1 are the first options. In the case of “(1” in the figure), the result “A1” is stored in association with each other. Similarly, the option selected in the quantitative question 1, the quantitative question 2 and the qualitative question 1 is the first option, and the option selected in the time question 1 is the third option (indicated as “3” in the figure). ) Is stored in association with the result “A3”.

  Each of the results “A1” to “A54” may have different contents, or may have contents that are partially common. Each of the results “A1” to “A54” includes, as pathological information, severity and symptom occurrence location (for example, bronchi and trachea when the symptom is “cough”) ) And other information.

  In addition, when the attribute classification is 12 years old or less, as shown in FIG. 16, all of the options selected in the quantitative question 1, the quantitative question 2, the qualitative question 1, and the time question 1 are the first options. For example, the result “A4” is stored in association with each other. Similarly, the option selected in the quantitative question 1, the quantitative question 2 and the qualitative question 1 is the first option, and the option selected in the time question 1 is the third option (indicated as “3” in the figure). ) Is stored in association with the result “A5”.

  As described above, even when the same option is selected as an answer, the result may differ depending on the attribute classification (of course, it may be the same).

  Refer to FIG. 3 again. The disease name candidate table storage unit 59 is obtained by assigning disease name candidates to the results for each symptom. FIG. 17 is a conceptual diagram showing an example of the contents stored in the disease name candidate table storage unit 59 shown in FIG. 3, and shows a normal candidate table. FIG. 18 is a conceptual diagram showing an example of the contents stored in the disease name candidate table storage unit shown in FIG. 3, and shows a specific candidate table.

  As shown in FIG. 17, the normal candidate table (disease name candidate table) is a table in which each result shown in the symptom result table stored for each symptom item is associated with a disease name candidate. If the result of “A” is A1, disease names α, β, γ, δ, ε are assigned as disease name candidates. If the result is A2, disease names β, γ, ε, ζ, and φ are assigned. Disease name candidates are similarly assigned to the other results A3 to A54. In addition, as shown in FIG. 17, disease name candidates are similarly assigned to the results B1 to B44 of “cough occurs” in the disease name candidate table. That is, disease name candidates are assigned to the results of other symptom items.

  Furthermore, the specific candidate table (disease name candidate table) illustrated in FIG. 18 is a table in which the result for each specific symptom is associated with the candidate for the disease name. For example, the result of “having fever” is A1, Assume that the result of “cough comes out” is B3. The specific candidate table stores a disease name that has a high possibility of occurring according to a combination of these results, and stores, for example, a disease name γ (for example, a cold). For example, if you catch a certain type of cold, a series of body changes occur, such as fever, cough, and runny nose. The specific candidate table stores a combination of such a series of body changes (results for each symptom) and a disease name in association with each other.

  In the specific candidate table, a specific combination of results corresponds to one disease name, but not limited to one disease name, a plurality of disease names may correspond. In addition, for a specific combination of results, more detailed information on the above-mentioned pathological conditions (severity and cause of occurrence of symptoms (for example, if the symptom is “cough”), More detailed information such as) is preferably stored in association with each other.

  FIG. 3 will be referred to again. The display control unit 16 controls the screen content to be displayed on the display 20, and includes a first display control unit (first display control unit) 16a, a second display control unit (second display control unit) 16b, and a third display unit. A display control unit (third display control means) 16c and a fourth display control unit 16d are provided.

  The third display control unit 16c displays a screen that prompts input of attribute information. FIG. 19 is a front view showing a screen displayed by the third display control unit 16c shown in FIG. As shown in FIG. 19, the third display control unit 16 c displays a display for inputting the date of birth, a text box 20 a for inputting the date of birth, a display for inputting the gender, and a gender. A check box 20b for input is displayed.

  The doctor inputs the date of birth in the text box 20a and designates the gender by checking the check box 20b. Further, when the doctor designates the “next” button 20 c displayed on the screen, the attribute information is input to the disease name diagnosis apparatus 1. Thus, the CPU 10 determines which attribute category corresponds to the input attribute information.

  FIG. 3 will be referred to again. The first display control unit 16 a displays a screen for selecting one or more symptom items from a plurality of setting items stored in the symptom item storage unit 55. More specifically, the first display control unit 16a extracts a symptom item corresponding to the attribute category to which the input attribute information belongs from a plurality of symptom items stored in the symptom item storage unit 55, and extracts the symptom item from the extracted symptom item. A screen for selecting one or more symptom items is displayed. As a result, the display as shown in FIGS. 20 and 21 is performed.

  20 and 21 are front views showing a screen for selecting a symptom item. FIG. 20 shows a first example, and FIG. 21 shows a second example.

  When the attribute classification is “female over 13 years old”, the first display control unit 16a displays “◯” in the attribute classification “female over 13 years old” among the storage contents of a plurality of symptom items as shown in FIG. Extract symptom items. And the 1st display control part 16a produces | generates a screen as shown in FIG. 20 based on the extracted symptom item, and displays it on the display 20. FIG. At this time, a symptom item “pain in breast” peculiar to a woman is displayed on the display 20.

  When the attribute classification is “0 to 11 months”, the first display control unit 16a selects “0 to 11 months” among the storage contents of the plurality of symptom items as shown in FIG. Extract the symptom items that are marked as “O”. And the 1st display control part 16a produces | generates a screen as shown in FIG. 21 based on the extracted symptom item, and displays it on the display 20. FIG. At this time, only the symptom items that can be confirmed by the guardian such as “having fever” and “having diarrhea” are displayed on the display 20.

  Here, for example, even if the symptom item of an infant under the age of 1 includes something like “headache”, the infant cannot tell the guardian whether or not he / she has a headache, which is a meaningless symptom item. . In addition, even if the male symptom item includes “pain in the breast”, the symptom item is meaningless. As described above, by extracting and displaying the symptom items based on the data shown in FIG. 4, it is possible to cause the doctor to present appropriate symptom items for each age and sex.

  Furthermore, as shown in FIGS. 20 and 21, a check box 20d for selecting this is displayed adjacent to each of the displayed symptom items. The doctor can select a symptom item by checking a check box 20d displayed adjacent to the corresponding symptom. After the selection, the doctor confirms the selection by designating a “next” button (not shown) and makes the disease name diagnosis apparatus 1 recognize this information.

  FIG. 3 will be referred to again. The second display control unit 16b stores the question content set in the symptom item selected on the screen displayed by the first display control unit 16a (that is, the screen shown in FIGS. 20 and 21). The data is read from the unit 56 and sequentially displayed on the screen. At this time, the second display control unit 16b also displays an option for selecting an answer for each of the quantitative question, the qualitative question, and the time question. The displayed options are according to the attribute classification, and the options stored in the option storage unit 57 are read out and displayed.

  22 and 23 are front views showing screens displaying question contents and options, FIG. 22 shows a first example, and FIG. 23 shows a second example. Note that the examples shown in FIGS. 22 and 23 show screens when the symptom item “having fever” is selected.

  As shown in FIG. 22, the second display control unit 16b, for example, as the question content of the symptom item “having fever”, “How many times is the current fever? (Quantitative question)” “How many times has it gone? (Quantitative question), “Will the heat fall in the morning? (Qualitative question),” “When did the fever begin? (Time question)” are displayed.

  Further, the second display control unit 16b displays options corresponding to the attribute classification for each question. The example shown in FIG. 22 shows options when the attribute classification is “male over 13 years old” and “female over 13 years old”. Specifically, “how many heats are present? (Quantitative question)” In response to “How many times have you gone? (Quantitative question)”, the options are “37.0 ° C. or higher and lower than 37.5 ° C.”, “37.5 ° C. or higher and lower than 38.5 ° C.”, “38.5 ° C. or higher”. It has become.

  The options for “Will the heat fall at dawn? (Qualitative question)” are “YES” and “NO”, and for “When did the heat start? (Time question)” “Yesterday”, “6 days ago from the day before yesterday” and “1 week ago”.

  On the other hand, the example shown in FIG. 23 shows the options when the attribute classification is “0 to 11 months”, “1 to 3 years old”, and “4 to 12 years old”. (Quantitative question) and “How many times have you gone? (Quantitative question)”, the options are “37.0 ° C. or higher and lower than 38.5 ° C.”, “38.5 ° C. or higher and lower than 39.5 ° C.” It is “39.5 ° C. or higher”. That is, the contents of the options are different from the example shown in FIG.

  Note that the options for “Will the heat fall at dawn? (Qualitative question)” and “When did the heat start? (Time question)” are the same as the example shown in FIG.

  Further, as shown in FIGS. 22 and 23, a check box 20e is displayed adjacent to each option. The doctor can select an option by checking a check box 20e displayed adjacent to the corresponding option. After the selection, the doctor confirms the selected content by designating the OK button 20f and makes the disease name diagnosis apparatus 1 recognize this information.

  When the OK button 20f is designated, a screen for displaying the question contents and options corresponding to the next symptom item is displayed by the second display control unit 16b. For example, when the doctor has selected two symptom items of “having fever” and “coughing”, the question content and options for “having fever” are displayed, and the OK button 20f is designated. The second display control unit 16b displays the question content and options for the next symptom item “coughing out”.

  Then, the second display control unit 16b displays the question contents and options for all the selected symptom items, and sequentially displays the question contents and options for the symptom items until the OK button 20f is designated. .

  Here, the quantitative question, the qualitative question, and the time question are preferably questions about only the symptom indicated by the symptom item. That is, it is preferable that the quantitative question, the qualitative question, and the time question do not include the content for asking the symptom indicated by the other symptom items.

  The classification of the above symptom items is determined from a medical viewpoint. For example, as described above, the symptom items are determined in advance as “having fever”, “coughing”, “coughing”, etc., and in the question about the symptom item “coughing”, “ Does not include questions about “痰”. That is, the question of the cough item does not include “whether a cough is involved in cough?”.

  Here, sputum is normally discharged with cough. For this reason, for example, if the symptom item is previously classified as “having fever” or “coughing”, and the symptom item “coughing” is not set, A qualitative question may be asked: “Does cough get involved in sputum?” That is, the above-mentioned “what to ask about only the symptom” is based on the classification of symptom items that have already been defined, and one symptom item does not matter the content of other symptom items. Therefore, in the case where the symptom items are divided into “having fever”, “coughing”, and “coughing”, the question “Does coughing involve coughing?” It can not be said. On the other hand, if the symptom item “having fever” and “coughing” is not set, and the symptom item “whether is coughing” is not set, "A question about only".

  Note that whether or not the device itself sets “sprouting” as a symptom item is determined from a medical viewpoint as described above. Considering that medical science advances day by day, for example, the symptom of “habit” may or may not be set as a symptom item. Similarly, other symptoms may or may not be set as symptom items.

  FIG. 3 will be referred to again. The symptom result determination unit 17 determines the result for each symptom according to the answer result to the question content of each symptom item input on the screen sequentially displayed by the second display control unit 16b. In more detail, the symptom result determination unit 17 applies the options selected in each of the quantitative question, the qualitative question, and the time question to the symptom result table stored in the symptom result table storage unit 58, thereby obtaining a result for each symptom. Judging.

  Here, in this embodiment, it is preferable that the symptom result determination unit 17 determines the result for each symptom after appropriately adjusting the answer result. There may be individual differences in response results. For example, in response to the quantitative question “What is the current heat?” For “I have a fever”, an exaggerated person who actually has a heat of 38 ° C. has the option of “39.5 ° C. or higher”. May choose. Conversely, a modest person may select the option “37.0 ° C. or higher and lower than 38.5 ° C.”. Also, not only people who intentionally choose exaggeration or modest people, such as exaggerated people or modest people, but they can not stand that they are suffering and respond to exaggeration, or simply respond to exaggeration from misunderstanding Some people. Therefore, the present apparatus 1 stores the tendency of each candidate for determination of disease name candidates as a coefficient, for example, and appropriately adjusts the answer result according to the coefficient. The adjustment target is not limited to the answer result of the quantitative question, but also includes a qualitative question and a time question. This is because the result for each symptom can be determined more appropriately. As for the coefficients, for example, those directly inputted by a doctor or the like may be stored, or the coefficient may be calculated by an arithmetic expression or the like based on the relationship between the past answers when the apparatus 1 is used and the disease name actually affected. It may be obtained and stored.

  The disease name candidate determination unit 18 determines a disease name candidate by applying the result of each symptom determined by the symptom result determination unit 17 to the disease name candidate table stored in the disease name candidate table storage unit 59. Here, the objects to be applied are both the normal candidate table as shown in FIG. 17 and the specific candidate table as shown in FIG.

  As described above, in the disease name candidate table, disease name candidates are assigned to the respective symptom results. Specifically, in the normal candidate table shown in FIG. 17, the disease name candidates of the result A1 correspond to the disease names α, β, γ, δ, and ε, and the disease name candidates of the result B3 include the disease names γ, δ, and ε. φ and ε correspond. Furthermore, in the specific candidate table shown in FIG. 18, a disease name candidate corresponds to a disease name candidate as a combination of the result A1 and the result B3. For this reason, when the operator selects “having fever” and “coughs” as the symptom items, and the result of each symptom item is A1 and B3, the disease name candidate determination unit 18 The disease name candidates are integrated, and the disease name candidates are determined as disease names α, β, γ, δ, ω, φ, ε. In particular, the disease name candidate determination unit 18 has the disease name γ as both candidates of the results A1 and B3 in the normal candidate table, and is also listed as a disease name candidate as a combination of the results A1 and B3 in the specific candidate table. Therefore, it is judged that it is the name of the disease most likely to be affected.

  Furthermore, another example will be described. For example, in the normal candidate table shown in FIG. 17, disease name candidates γ, δ, ω, and φ correspond to disease name candidates of result A54, and disease names θ, ω, and ε correspond to disease name candidates of result B1. . Therefore, when the operator selects “having fever” and “cough” as the symptom items, and the results of the respective symptom items are A54 and B1, the disease name candidate determination unit 18 The disease name candidates are integrated, and the disease name candidates are determined as disease names γ, δ, ω, φ, θ, ε. At this time, as shown in the specific candidate table of FIG. 18, there is no combination of the result A54 and the result B1, and there is no disease name candidate. Therefore, the disease name candidate determination unit 18 determines disease name candidates as disease names γ, δ, ω, φ, θ, ε only from the normal candidate table. In this case, since the disease name ω is a candidate for both the results A54 and B1, the disease name candidate determination unit 18 determines that the disease name is most likely to be affected.

  The fourth display control unit 16d displays the disease name candidates determined by the disease name candidate determination unit 18 on the screen. FIG. 24 is a front view showing an example of a screen showing disease name candidates. The fourth display control unit 16d displays, for example, the symptom results determined by the symptom result determination unit 17 and the disease name candidates determined by the disease name candidate determination unit 18. Specifically, as shown in FIG. 24, the fourth display control unit 16d, for example, “The pharynx is inflamed. We recommend that you consult a medical institution. Possible disease names include cold, pharyngitis, and influenza. Is displayed. " Here, “pharynx is inflamed” corresponds to the result of each symptom. When there are a plurality of results for each symptom, all of them may be displayed, or only one may be displayed as shown in FIG. The fourth display control unit 16d also displays an “end” button 20g. In addition, it is preferable that these disease names are displayed in order from the most likely. In this case, it is necessary to add possibility information to the disease names shown in the normal candidate table of FIG. That is, regarding the result A54 in FIG. 17, by adding information such as the disease name γ for the X point, the disease name δ for the Y point, and the disease name ω for the Z point, the information can be displayed in order from the most likely. Furthermore, like the results A54 and B1, it is preferable that the possibility point of the result A54 and the possibility point of the result B1 are added for the disease name ω. In addition, information on points larger than the points stored in the normal candidate table is given to the disease names listed in the specific candidate table, and this is added. Therefore, when the result A1 and the result B3 are obtained, the point of the disease name γ is an overwhelmingly higher numerical value than other disease names.

  In addition, as shown in FIG. 24, the fourth display control unit 16d displays, for example, “however, items that are probabilistically low but should not be overlooked are pemphigus and pharyngeal cancer”. Let In this case, it is necessary to add criticality information to each disease name shown in the normal candidate table of FIG. For example, for the result A54 in FIG. 17, information such as a disease name γ is x points, a disease name δ is y points, and a disease name ω is z points. The criticality information is similarly added to the other results A1 to A53. Furthermore, not only the normal candidate table but also the specific candidate table shown in FIG. 18 needs to add criticality information to each disease name. Then, the fourth display control unit 16d displays that a disease name having a criticality level equal to or higher than a predetermined point should not be overlooked. That is, in the example shown in FIG. 24, a message indicating that pemphigus and pharyngeal cancer should not be overlooked is displayed.

  The doctor designates the “end” button 20g after recognizing the disease name displayed on the screen. As a result, the CPU 10 returns to the attribute information input screen shown in FIG. 11, for example.

  As described above, the disease state determination function unit B can present a candidate for a disease name to a doctor. The doctor causes the disease name diagnosis function unit A to function by inputting candidate disease names determined by the disease state determination function unit B. Thereby, when the candidate of the disease name determined by the disease name candidate determination unit 18 is input, the first presentation unit 11 extracts the diagnosis action to be performed from the stored contents of the diagnosis action storage unit 51 and presents it to the doctor. Will be. Note that candidate disease names determined by the disease state determination function unit B may be automatically input without requiring manual input regardless of manual input by a doctor. Furthermore, in the case of automatic input, the display as shown in FIG. 24 may not be performed.

  Next, the operation of the disease name diagnosis apparatus 1 according to this embodiment will be described. 25 and 26 are flowcharts showing an example of the operation of the disease state determination function unit B according to the present embodiment. FIG. 25 shows the first half part, and FIG. 26 shows the second half part.

  As shown in FIG. 25, the third display control unit 16c first displays an attribute information input screen (S1). At this time, the third display control unit 16c displays a screen as shown in FIG. 19, for example. Then, the CPU 10 determines whether attribute information has been input (S2). In the case of the example shown in FIG. 19, the CPU 10 determines whether the “next” button 20 c has been designated with the date of birth entered in the text box 20 a and the check box 20 b checked. .

  If it is determined that no attribute information has been input (S2: NO), the process proceeds to step S1. On the other hand, when it is determined that the attribute information has been input (S2: YES), the first display control unit 16a displays a symptom item selection screen (S3). At this time, the first display control unit 16a displays a symptom item selection screen corresponding to the attribute classification, for example, as shown in FIGS.

  Thereafter, the CPU 10 determines whether a symptom item has been selected (S4). In the example shown in FIGS. 20 and 21, the CPU 10 checks one or more of the check boxes 20d arranged adjacent to the symptom item, and designates a “next” button (not shown). It will be judged.

Next, the CPU 10 sets i _max as the selected number of the plurality of symptom items displayed in step S3 (S5). That is, in the example shown in FIGS. 20 and 21, the CPU 10 sets the number of checked check boxes 20d to i _max . Thereafter, the CPU 10 initializes the variable i to “1” (S6).

  Next, the second display control unit 16b reads the question and option of the i-th symptom item (S7), and displays a question / option screen based on the read data (S8). At this time, the second display control unit 16b displays a screen including options according to the attribute classification, for example, as illustrated in FIGS.

  Thereafter, the CPU 10 determines whether or not there is an answer (S9). In the example illustrated in FIGS. 22 and 23, the CPU 10 determines whether the OK button 20f has been designated for each question while one of the check boxes 20e adjacent to the option is checked.

  When it is determined that there is no answer (S9: NO), this process is repeated until it is determined that there is an answer. On the other hand, when it is determined that there is an answer (S9: YES), the symptom result determination unit 17 adjusts the answer (S10). This answer adjustment is performed based on the tendency of the person who responds with exaggeration or the person who responds sparingly as described above, and is adjusted based on, for example, a coefficient reflecting such a tendency. If no coefficient is stored for the determination target person of the disease name candidate who is performing the current process, the answer adjustment process is not executed, and the process proceeds to step S11.

  The symptom result determination unit 17 determines the result of the symptom based on the (adjusted) answer (S11). At this time, the symptom result determination unit 17 reads the symptom result table of the i-th symptom item according to the attribute classification, applies the selected option to the table, and determines the symptom result.

Next, the CPU 10 determines whether or not the variable i is i _max (S12). When determining that the variable i is not i _max (S12: NO), the CPU 10 increments the variable i (S13), and the process proceeds to step S7 shown in FIG. That is, the variable i is incremented by “1”, and the question and the option are read for the number of symptom items after the addition.

On the other hand, when it is determined that the variable i is i _max (S12: YES), the disease name candidate determination unit 18 corresponds to the specific combination indicated in the specific candidate table by the result for each symptom determined in step S11. (S14). When it is determined that it is applicable (S14: YES), the disease name candidate determination unit 18 extracts a disease name corresponding to a specific combination from the specific candidate table (S15). Then, the process proceeds to step S16.

  On the other hand, if it is determined that the combination does not correspond to the specific combination shown in the specific candidate table (S14: NO), the process proceeds to step S16, and the disease name candidate determination unit 18 displays the result for each symptom determined in step S11. By applying to the normal candidate table shown in FIG. 17, disease name candidates are extracted (S16).

  And the 4th display control part 16d displays the disease name candidate extracted in step S15 and step S16 (S17). Then, the processing shown in FIGS. 25 and 26 ends. If the fourth display control unit 16d is displaying a screen as shown in FIG. 24, the processing shown in FIGS. 25 and 26 is performed when the operator designates the “end” button 20g. It will end. Moreover, as shown in FIG. 24, it is preferable to display not only the disease name candidates but also the results for each symptom.

  FIG. 27 is a flowchart showing an example of the operation of the disease name diagnosis function unit A according to the present embodiment. As shown in FIG. 27, the CPU 10 first determines whether a disease name candidate has been input (S21). Here, it may be determined whether the input has been made manually, or it may be determined whether the disease name candidate determined in step S13 shown in FIG. 26 has been automatically input. When it is determined that no disease name candidate has been input (S21: NO), this process is repeated until it is determined that the disease name has been input.

  On the other hand, when it is determined that a candidate for a disease name has been input (S21: YES), the first presentation unit 11 performs a diagnosis act corresponding to a candidate disease name based on the stored content stored in the diagnosis activity storage unit 51. Extracted and presented to the doctor (S22). Thereby, a doctor's examination act is performed and a physical finding will be obtained.

  Next, the CPU 10 determines whether information on physical findings corresponding to the examination act presented in step S22 has been input (S23). If it is determined that the physical findings information has not been input (S23: NO), this process is repeated until it is determined that the information has been input.

  If it is determined that physical findings information has been input (S23: YES), the first narrowing-down unit 12 obtains physical findings corresponding to candidate disease names based on the stored contents stored in the physical findings storage unit 52. The candidate disease name is narrowed down (S24).

  Next, the 2nd presentation part 13 extracts the test | inspection for determining the disease name narrowed down in step S24 from the test | inspection memory | storage part 53, and shows it to a doctor (S25). Thereby, a test | inspection will be implemented with respect to a patient.

  Thereafter, the CPU 10 determines whether or not information on the result corresponding to the examination presented in step S25 has been input (S26). If it is determined that the information on the inspection result has not been input (S26: NO), this process is repeated until it is determined that the information has been input. The test result here may not be manually input by a doctor, but may be automatically input from an inspection device or the like.

  When it is determined that the information on the test result is input (S26: YES), the second narrowing unit 14 selects the disease name narrowed down by the first narrowing unit 12 based on the stored content stored in the test result storage unit 54. It is determined whether the corresponding inspection result is obtained, and further narrowing down is performed (S27).

  Thereafter, the third presentation unit 15 presents the final result FR obtained in step S27 to the doctor (S28). The third presentation unit 15 is not limited to presenting one diagnosis disease name as the final result FR, and may indicate that no disease name applies, or presents a plurality of diagnosis disease names. It may be like this.

  As described above, according to the disease name diagnosis apparatus 1, the disease name diagnosis program, and the computer-readable recording medium on which the program is recorded, the diagnosis to be performed when a candidate disease name is input. Since the action is extracted and presented to the doctor, it is possible to prevent an erroneous examination action due to a doctor's misunderstanding or memory difference. In addition, when the information of physical findings according to the examination action is input, in order to narrow down the candidate disease name that has been input, to extract the examination to be performed for the narrowed disease name and present it to the doctor, It is possible to prevent erroneous examinations due to misunderstandings and memory mistakes by doctors. Furthermore, when the test result is input, the narrowed down disease names are further narrowed down and the results are presented to the doctor, so that errors can be prevented in the final diagnosis of the disease name. Therefore, the disease name can be diagnosed with higher accuracy.

  The contents of the question include a quantitative question that asks for the quantity, a qualitative question that asks the nature, and a time question that asks the time for the symptoms indicated by the symptom item. Here, the present inventor judges the severity of symptoms themselves from three viewpoints of quantitative, qualitative, and temporal based on medical viewpoints, and integrates them to eliminate omissions. We found that candidate disease names can be extracted. That is, the present inventor has found that, in general, misdiagnosis by a doctor occurs, for example, by asking only the amount and determining without questioning the time or nature. Therefore, by inputting answers to questions from three viewpoints, the result of the symptom (the severity and the cause of the occurrence of the symptom (for example, the bronchi and the trachea when the symptom is "cough") Etc.) can be determined more accurately, and disease name candidates can be determined with higher accuracy by integrating these results and determining disease name candidates. In addition, since the diagnosis action to be performed by inputting a disease name candidate with high accuracy in this way is presented to the doctor, the disease name can be diagnosed with higher accuracy.

  In addition, the quantitative question, the qualitative question, and the time question are questions only about the symptom indicated by the symptom item. Here, the present inventor further tends to easily generate a misdiagnosis by a doctor by asking a simultaneous question about a certain symptom and a symptom related to the symptom from a preconception at the time of an inquiry. I found out. Therefore, it can be said that each question asks only about the symptom, and preferably does not include the content that asks about the symptom indicated by other symptom items. By setting it as such a question, the result for every symptom can be judged more correctly, and it can be connected with judging a disease name candidate more accurately.

  For each of the quantitative question, the qualitative question, and the time question, a plurality of options for selecting an answer are displayed, and the selected option is applied to the symptom result table to determine the result for each symptom. For this reason, when a character is input without displaying an option, for example, a text box is displayed, an unanswered answer may be input, and the result for each symptom is erroneously determined. Sometimes. However, if it is above, possibility that the result for every symptom will be judged erroneously can be reduced.

  In addition, one or more symptom items corresponding to the attribute classification are displayed. For example, even if a symptom item of an infant under 1 year old includes “headache”, the infant cannot tell the presence or absence of a headache, which is a meaningless symptom item. In addition, even if the male symptom item includes “pain in the breast”, the symptom item is meaningless. Thus, by storing a plurality of symptom items corresponding to at least one of age and sex attribute information, appropriate symptom items can be displayed for each age and sex.

  Also, options are stored according to the attribute classification. For example, infants, toddlers and children tend to be hotter than adults. For this reason, for example, in infants, toddlers, and children, the choice of the quantitative question “how many fever?” In the “fever” symptom item is “37 ° C. or higher and lower than 38.5 ° C.” “38.5 ° C.” If three of these are appropriate, for adults, the options are “37 ° C. or higher and lower than 37.5 ° C.” “37.5 ° C. or higher and lower than 38.5 ° C.” “38.5 ° C. or higher” Is appropriate. Also, women tend to be more constipated than men. For this reason, for example, in a symptom item of “constipation” in a woman, the choices of the time question “when stool last appeared” are “2 days before today”, “3 days before 6 days”, “1 week or more” In the case where three such as “before” are appropriate, it is appropriate for a man to select “today”, “yesterday or the day before yesterday”, and “three days or more ago”. Thus, by storing the options according to the attribute classification, it is possible to make an appropriate selection according to age and sex.

  As described above, the present invention has been described based on the embodiment, but the present invention is not limited to the above embodiment, and may be modified without departing from the gist of the present invention.

  For example, although the disease name diagnosis apparatus 1 according to the present embodiment is realized by one personal computer, the concept is not limited to this and includes an automatic medical examination system realized by connecting a plurality of computers to a network.

  In addition, the program for causing the disease name diagnosis apparatus 1 to function in the present embodiment is not limited to the recording medium of the ROM 10a, HDD 50, USB, and other devices, but other types of recording media such as CD-ROM and CD-R. May be stored.

  Furthermore, in the present embodiment, the attribute information in the disease name diagnosis apparatus 1 is not limited to both age and sex, and may be either one. Further, the apparatus 1 may be constructed so as to correspond to all ages and sexes without requiring input of attribute information.

  Further, in the disease state determination function unit B according to the present embodiment, if there are at least two or more selected symptom items, an error may occur and the subsequent processing may not be executed.

  In the above embodiment, the contents of the quantitative question, the qualitative question, and the time question are common among the attribute categories, but are not limited thereto, and are preferably different depending on the attribute category.

  In addition, the above-described examination action storage unit 51, physical findings storage unit 52, examination storage unit 53, and examination result storage unit 54 may also have different contents depending on the attribute information.

  Furthermore, the first narrowing-down unit 12 outputs at least one of the information on the answer results for the question contents of each symptom item input on the screen sequentially displayed by the second display control unit 16b. May be input as physical findings information according to the examination action presented by the above, and based on the stored contents of the physical findings storage unit 52, the candidates of the input disease names may be narrowed down. That is, for example, as shown in FIG. 8, regarding the diagnostic action content AC1 “Please confirm whether there is pain in the left lower abdomen”, for example, selection of symptom items as shown in FIG. 20 and FIG. Based on the time information, one of “with pain” and “without pain” in the input item IT1 may be selected. When it is selected, the examination action content AC1 and the selected input item IT1 may or may not be presented to the doctor.

  This is because, for example, it is not necessary to reexamine information that has already been input in the pathological condition determination function unit B, such as “the fever is over XX ° C.”, and this can lead to a smooth diagnosis of the disease name.

  In addition, it is preferable that the disease name diagnosis apparatus 1 includes a specific condition determination unit and a specific condition storage unit. Here, the specific condition storage unit stores data indicating the order of symptoms in a specific disease. For example, in Kawasaki disease, fever first occurs, and then conjunctival hyperemia that does not cause eye discoloration occurs. In the present embodiment, since a time question is made in the pathological condition determination function unit B, it is possible to determine whether conjunctival hyperemia has occurred after fever. That is, the specific condition determining unit determines whether or not a specific condition such as “conjunctival hyperemia has occurred after fever” from the answer to the time question in the pathological condition determining function unit B, and if so, Kawasaki disease (specific May be added as candidates for disease names. Furthermore, when the order of the symptoms is opposite to Kawasaki disease that “fever occurs after conjunctival redness”, Kawasaki disease is excluded in either one of the first and second narrowing-down parts 12 and 14. Narrowing may be performed as described above. In addition, since Kawasaki disease is characterized by the absence of spears when the conjunctiva is congested, the answer to the qualitative question may be associated with the above.

1: Disease name diagnosis device 2: Keyboard 3: Mouse 10: CPU
10a: ROM
10b: RAM
11: 1st presentation part (1st presentation means)
12: First narrowing portion (first narrowing means)
13: 2nd presentation part (2nd presentation means)
14: 2nd narrowing part (2nd narrowing means)
15: 3rd presentation part (3rd presentation means)
16: Display control unit 16a: First display control unit (first display control means)
16b: 2nd display control part (2nd display control means)
16c: 3rd display control part (3rd display control means)
16d: 4th display control part 17: Symptom result judgment part (symptom result judgment means)
18: Disease name candidate determination unit (disease name candidate determination means)
20: Display 20a: Text box 20b: Check box 20c: Button 20d: Check box 20e: Check box 20f: OK button 20g: Button 30: Communication I / F unit 50: HDD
51: Examination action storage unit (first storage means)
52: Physical findings storage unit (second storage means)
53: Inspection storage unit (third storage means)
54: Inspection result storage unit (fourth storage means)
55: Symptom item storage unit 56: Question content storage unit (fifth storage means)
57: Option storage unit (eighth storage means)
58: Symptom result table storage section (seventh storage means)
59: Disease name candidate table storage section (sixth storage means)
A: Disease name diagnosis function part B: Disease state determination function part

Claims (9)

A disease name diagnosis apparatus used for diagnosis of a disease name by a doctor,
A first storage means for comparing a disease name with a medical examination to be performed to determine the disease name;
A first presentation means for extracting a diagnostic action corresponding to the inputted disease name from the first storage means and presenting it to a doctor when a candidate disease name is inputted;
A second storage means for comparing a disease name with physical findings obtained by the disease name;
When the information of the physical findings corresponding to the examination act presented by the first presentation unit is input, the first candidate disease name is narrowed down based on the contents stored in the second storage unit. Narrowing means;
A third storage means for comparing a disease name with a test to be performed to determine the disease name;
A second presentation means for extracting the examination corresponding to the disease name narrowed down by the first narrowing means from the third storage means and presenting it to a doctor;
A fourth storage means for comparing a disease name and a test result obtained by the disease name;
When a test result corresponding to the test presented by the second presentation unit is input, the disease name narrowed down by the first narrowing unit is further narrowed down based on the stored contents of the fourth storage unit. Second narrowing means to perform,
Third presenting means for presenting a result narrowed down by the second narrowing means to a doctor;
A disease name diagnosis apparatus comprising: It further includes a disease state determination function unit that determines a disease name candidate based on the answer result,
The disease state determination function unit
First display control means for displaying a screen for selecting one or more symptom items from a plurality of predetermined symptom items;
Fifth storage means for storing the question content set for each of the plurality of symptom items;
Second display control means for reading out the question content set in the symptom item selected on the screen displayed by the first display control means from the fifth storage means and sequentially displaying the screen;
Symptom result determination means for determining the result of each symptom according to the answer result to the question content of each symptom item input on the screen sequentially displayed by the second display control means;
Sixth storage means for storing a disease name candidate table in which disease name candidates are assigned to the results for each symptom;
A disease name candidate determination unit that determines a disease name candidate by applying a result for each symptom determined by the symptom result determination unit to a disease name candidate table stored by the sixth storage unit;
The content of the question stored in the fifth storage means consists of a quantitative question that asks the amount, a qualitative question that asks the nature, and a time question that asks the time about the symptom indicated by the symptom item,
The first presenting means extracts a diagnostic action to be performed by the first storage means and presents it to a doctor when a disease name candidate determined by the disease name candidate determining means is input. Item 1. The disease name diagnosis apparatus according to Item 1. The first narrowing-down means is presented by the first presenting means at least one of information on answer results for the question contents of each symptom item input on the screen sequentially displayed by the second display control means. The disease name according to claim 2, wherein the disease name candidates are input as physical findings information corresponding to the medical examination action, and the inputted disease name candidates are narrowed down based on the stored contents of the second storage means. Diagnostic device. The disease name diagnosis apparatus according to claim 2, wherein the quantitative question, the qualitative question, and the time question are questions only about a symptom indicated by the symptom item. A seventh storage means for storing a symptom result table for determining a result for each symptom;
The second display control means displays a plurality of options for selecting an answer for each of the quantitative question, the qualitative question, and the time question,
The symptom result table shows a correspondence relationship between options selected in each of the quantitative question, the qualitative question, and the time question, and a result for each symptom,
The symptom result determination means applies the options selected in the quantitative question, the qualitative question, and the time question to the symptom result table stored in the seventh storage means, and determines the result for each symptom. The disease name diagnosis apparatus according to any one of claims 2 to 4, wherein: A third display control means for displaying a screen prompting input of attribute information of at least one of age and sex;
When the attribute information is input, the first display control unit extracts a symptom item corresponding to the attribute category to which the input attribute information belongs from a plurality of symptom items stored in advance, and 1 from the extracted symptom item The disease name diagnosis apparatus according to any one of claims 2 to 5, wherein a screen for selecting two or more symptom items is displayed. Third display control means for displaying a screen prompting input of attribute information of at least one of age and gender;
According to the attribute classification indicating the classification of the attribute information, and the eighth storage means for storing options for the quantitative question, the qualitative question, and the time question for each of the plurality of symptom items,
The said 2nd display control means reads the option according to the attribute classification to which the input attribute information belongs from the said 8th memory means, and displays it when the said attribute information is input. The disease name diagnosis apparatus described.   A disease name diagnosis program for causing a computer to function as the disease name diagnosis apparatus according to any one of claims 1 to 7.   A computer-readable recording medium on which the disease name diagnosis program according to claim 8 is recorded.

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