JP2005110944A - Apparatus, method and program for assisting medical examination - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a medical examination assisting apparatus for assisting a doctor in diagnosis by presenting information necessary for the diagnosis to the doctor based on the information obtained in the medical examination. <P>SOLUTION: The medical examination assisting apparatus comprises a medical examination information obtaining means 50 with a memory part storing a database for guidelines on diagnosis interrelating the information expected to be obtained in the medical examination and the information used in the diagnosis of a disease, for receiving the input of information actually obtained in the medical examination as the information on the medical examination, and an information extracting means 52 for extracting the information from the database for guidelines on the diagnosis to be used for the diagnosis of the disease based on the information on the medical examination obtained by the medical information obtaining means. <P>COPYRIGHT: (C)2005,JPO&NCIPI

Description

  The present invention relates to a medical assistance device, a medical assistance method, and a medical assistance program that support diagnosis when a doctor conducts medical care.

  In medical institutions, electronic medical records that store and use information obtained as examination results such as patient complaints, examination results or doctor findings as electronic data are used. This is a replacement of information previously written on a medical chart on paper as electronic data. In the examination room, doctors make complaints from patients (main complaints and complaints), test results, findings by doctors, treatments, prescriptions, etc. This is input (for example, Japanese Patent Application Laid-Open No. 2003-223509).

JP 2003-223509 A

  However, the conventional electronic medical record system only holds and presents information obtained through examinations and information on clinical actions performed in the past, and the final diagnosis depends on the information registered in the electronic medical record. There was a need to do based on experience. For this reason, there are cases in which a correct diagnosis cannot be made in the medical field with little medical experience. For medical fields with little medical experience, doctors need to search for and acquire information necessary for diagnosis by searching documents in the field or accessing an online database.

  As a result, there was a risk that diagnosis took time and treatment was too late. In addition, when investigating information necessary for clues about information already obtained, it takes time and effort to narrow down a field to be investigated by a doctor in advance or to select a search key used for search. In addition, there is a risk of making a wrong diagnosis by biasing the research field or making the wrong search key used for the search.

  In view of the above-described problems of the prior art, the present invention provides a medical support device, a medical support method, and a medical support program that support diagnosis based on information registered in an electronic medical record when a doctor performs medical care. Objective.

  The present invention that can solve the above-mentioned problems includes a storage unit that holds a diagnostic guideline database that associates information that is expected to be obtained in a diagnosis with information that is used in diagnosis of a disease, and is actually used as information related to a diagnosis. Medical information acquisition means for receiving input of the obtained information, information extraction means for extracting information used for diagnosing a disease from the diagnostic guideline database based on information on the diagnosis acquired by the medical information acquisition means; It is the medical assistance device characterized by including.

  Another embodiment of the present invention that can solve the above-mentioned problem relates to a diagnosis, comprising a storage unit that holds a clinical history database that associates information that is expected to be obtained by a diagnosis with information that is used for diagnosis of a disease. Medical information acquisition means for accepting input of information actually obtained through medical examination as information, diagnostic result acquisition means for accepting input of information related to clinical practice actually performed, and medical examination obtained by the medical information acquisition means And a database changing unit that creates or updates the clinical history database based on the information and the information on the clinical action acquired by the diagnosis result acquiring unit.

  Here, it is preferable to include information extraction means for extracting information used for diagnosing a disease from the clinical history database based on information on the diagnosis acquired by the medical information acquisition means.

  Another embodiment of the present invention that can solve the above-described problems uses a medical assistance device that includes a storage unit that holds a diagnostic guideline database that associates information that is expected to be obtained in a diagnosis with information that is used for diagnosis of a disease. From the diagnostic guideline database, which is a medical care support method, based on the medical information acquisition process that receives input of information actually obtained through a medical examination as information related to the medical examination, and the information related to the medical examination acquired in the medical care information acquisition process An information extraction method for extracting information used for diagnosing a disease.

  Another aspect of the present invention that can solve the above-described problem is a medical support device including a storage unit that holds a clinical history database that associates information that is expected to be obtained in a medical examination with information that is used for diagnosis of a disease. A medical treatment information acquisition step that accepts input of information actually obtained through a medical examination as information relating to a medical examination, a diagnostic result acquisition process that accepts input of information related to a clinical action actually performed, A database changing step of creating or updating the clinical history database based on the information on the diagnosis acquired in the medical information acquisition step and the information on the clinical action acquired in the diagnosis result acquisition step, This is a medical support method.

  Here, the medical assistance method characterized by including the information extraction process which extracts the information utilized for the diagnosis of a disease from the said clinical history database based on the information regarding the medical examination acquired at the said medical care information acquisition process.

  Another embodiment of the present invention that can solve the above-described problems relates to a computer having a storage unit that holds a diagnostic guideline database that associates information that is expected to be obtained in a medical examination with information that is used in the diagnosis of a disease. Information used for diagnosis of disease from the diagnostic guideline database based on information on the medical examination acquired by the medical care information acquisition means and medical information acquisition means for receiving input of information actually obtained through medical examination as information It is a medical assistance program characterized by functioning as a medical assistance device including information extracting means for extracting.

  Another embodiment of the present invention that can solve the above problem is a computer including a storage unit that holds a clinical history database that associates information that is expected to be obtained in a diagnosis with information that is used for diagnosis of a disease. Obtained by medical information acquisition means for accepting input of information actually obtained through medical examination as information on medical examination, diagnostic result acquisition means for accepting input of information on clinical practice actually performed, and acquired by the medical information acquisition means A medical assistance characterized in that it functions as a medical assistance device including a database changing means for creating or updating the clinical history database based on information relating to a diagnosis and information relating to a clinical action obtained by the diagnostic result obtaining means. It is a program.

  Here, it is preferable to function as a medical care support apparatus including an information extracting means for extracting information used for diagnosing a disease from the clinical history database based on information on the medical examination acquired by the medical care information acquiring means. is there.

  Moreover, it is preferable that the information regarding the examination is at least one of a main complaint or complaint from a patient, a test result performed on the patient, and a doctor's findings. Furthermore, the information used for the diagnosis is preferably information on a disease name, an indication example of the disease, examination contents, treatment for the disease, and prescription for the disease.

  According to the present invention, medical support that supports diagnosis of a doctor by providing information necessary for diagnosis of an adaptation example or a countermeasure example based on a main complaint or complaint from a patient, a test result, a doctor's findings, etc. A device, a medical assistance method, and a medical assistance program can be provided.

(First embodiment)
The medical assistance system in the first embodiment of the present invention includes a medical server computer 100 and a medical client computer 102 as shown in FIG. The medical server computer 100 is connected to the medical client computer 102 via a network such as a hospital LAN or a regional WAN so as to be able to transmit information. Although FIG. 1 shows a configuration in which only one medical client computer 102 is connected for simplification, it goes without saying that a configuration in which a plurality of medical client computers 102 are connected to the medical server computer 100 may be used.

  As shown in FIG. 2, the medical server computer 100 includes a control unit 10, a storage unit 12, and a network interface unit 14.

  The control unit 10 controls the entire information processing performed by the medical care server computer 100. The control unit 10 is generally a CPU composed of a semiconductor integrated circuit.

  The storage unit 12 stores and holds various information as electronic data. The storage unit 12 can be configured with a semiconductor memory. Further, when the capacity of electronic data to be stored is large, it is also preferable to use a hard disk, a magneto-optical disk, a magnetic disk, an optical memory, or the like as an auxiliary storage device. The storage unit 12 includes information such as a medical condition that the patient complains about (main complaint or complaint), a test result performed on the patient, information such as the findings of a doctor who consulted the patient, information, a disease name, a medical condition, A diagnostic guideline database in which information used for diagnosis of diseases such as treatment methods and prescription drugs is associated with each disease is maintained.

  Specifically, the diagnostic guideline database includes a matching database and a medical information database. As shown in FIG. 3, the matching database includes a plurality of matching maps 30 associated with each disease name. In each matching map 30, points are assigned to information that is expected to be obtained in the diagnosis for each disease, that is, information such as the main complaint from the patient, the result of the examination for the patient, and the findings of the doctor. The points assigned to each piece of information are assigned a high point value for information that is highly likely to be obtained in the case of each disease, and may be obtained in the case of each disease. A low point value is assigned to low information. In addition, as shown in FIG. 4, the medical information database 32 includes a doctor and the like such as a disease name and an infection route, an incubation period, an infection period, a symptom, a suitable treatment method or a prescription of a suitable drug and a cure rate for each disease. It is registered in association with information that can be used when making a diagnosis. By combining the matching database and the medical information database, information used for diagnosis of diseases such as a disease name, a medical condition, a treatment method, a prescription medicine, and the like are associated with information expected to be obtained for each disease.

  The network interface unit 14 is used to connect the medical server computer 100 to a network. For example, the network card can exchange information with the medical client computer 102 via a network according to a communication protocol such as TCP / IP.

  Furthermore, the medical care server computer 100 may include the input unit 16 or the display unit 18. The input unit 16 receives commands and data input from users such as doctors and patients to the medical care server computer 100. The input unit 16 may be a character input device such as a keyboard, a pointing device such as a mouse, or an image input device such as a scanner. The display unit 18 presents various user interface screens and various information used in the medical server computer 100 to the user. The display unit 18 can be an image forming apparatus such as a display or a printer.

  As shown in FIG. 2, the medical client computer 102 also includes a control unit 20, a storage unit 22, a network interface unit 24, an input unit 26, and a display unit 28. Each unit can be configured in the same manner as each unit of the medical care server computer 100.

  The medical assistance method using the medical server computer 100 and the medical client computer 102 is executed according to the flowchart shown in FIG. More specifically, each step of the flowchart shown in FIG. 5 is coded as a computer-processable program, and is executed by processing by the control units 10 and 20 of the medical server computer 100 and the medical client computer 102.

  In step S <b> 10, information obtained from the actual examination for the patient is acquired in the medical client computer 102. The information obtained from the examination includes, for example, the main complaint or complaint from the patient, the current medical history, basic medical information such as the results of the examination performed on the patient, information specific to the first visit, lifestyle information, the doctor who examined the patient Findings are included. The control unit 20 reads the examination information input screen data stored and held in advance in the storage unit 22 and displays it on the display screen of the display unit 28 to prompt the user to input.

  As shown in FIG. 6, the examination information input screen 110 is input as information on the diagnosis from the main complaint (complaint), current medical history, basic medical information, information specific to the first visit, lifestyle information, findings, assessment, and other classifications. A classification selection area 112 for selecting a classification to be performed. The user selects one of the classifications using the mouse of the input unit 26 or the like. In response to the selection of the classification, the control unit 20 reads out an item associated with the classification stored and held in advance in the storage unit 22 as an item to be input for each classification and displays the item in the item selection area 114. For example, as shown in FIG. 6 surrounded by a square frame, when the classification of the main complaint / current medical history is selected in the category selection area 112, the main complaint associated with the classification of the main complaint / current medical history is displayed in the item selection area 114. , Current medical history, cold symptoms, gastrointestinal symptoms, interview, infection information, symptoms (other general symptoms) are displayed. The user selects any item displayed in the item selection area 114 using the mouse of the input unit 26 or the like, and inputs information related to the item.

  At this time, a fixed sentence or phrase that is highly likely to be input for each item in the storage unit 22 is stored and held as an input candidate, and the input candidate associated with the selected item is stored in the fixed sentence / phrase. It is also preferable to display in the candidate display area 116. The user can simplify and facilitate input by selecting information corresponding to the information obtained through the examination from among the input candidates displayed in the fixed phrase / phrase candidate display area 116. When selection is performed, the control unit 20 acquires the selected option and sequentially displays the next candidates.

  Information about the acquired examination is displayed in the input information display area 118. The user can determine whether the input information is correct by looking at the contents displayed in the input information display area 118.

  FIG. 7 shows an example of information input as information related to medical care. Information such as the chief complaint from the patient, the doctor's findings, abnormal examinations, etc. is input along each category. For example, in the case of a chief complaint from a patient, text information such as “I am worried about blood cancer” and word information such as “fever” are input. In addition, in the case of a doctor's finding, text information such as “feeling heavy” and word information such as “pneumonia” are input. If the test is abnormal, a result for the test method such as “positive” for “occult blood reaction” is input.

  In step S <b> 12, information related to medical care is transmitted to the medical care server computer 100. When the control unit 20 receives information related to the examination, the control unit 20 displays the contents in the input information display area 118. At the same time, using the network interface unit 24, information related to the diagnosis is transmitted to the diagnosis server computer 100 via the network.

  In step S <b> 14, information regarding medical care is received by the medical care server computer 100. The control unit 10 uses the network interface unit 14 to receive information related to the diagnosis transmitted from the diagnosis client computer 102 via the network.

  In step S16, a search key used for information search is extracted from information related to medical care. The control unit 10 extracts a search key from the information regarding the medical care received in step S14.

  If the patient's main complaint (complaint), doctor's findings, etc. are textual information, using existing text analysis tools such as syntax tree analysis and morphological analysis, the words are extracted from the text information and extracted from each text. Can be used as a search key. For example, if the chief complaint from a patient is “I am worried about blood cancer” and the words “blood”, “cancer”, “worry” are cut out from syntactic analysis, etc., these “blood” and “cancer” And “worry” can be used as search keys.

  Further, combinations of words that are predicted in advance may be registered in the storage unit 12, and words that match the registered combinations may be selected as search keys. For example, the word “blood” is registered in combination with words such as “high blood pressure”, “low blood pressure”, “bleeding”, “cancer” and the like that are frequently associated in medical care, and If they match, the search key is determined as a combination of words. In the above example, a combination of “blood” and “cancer” can be selected as a search key from combinations of the words “blood”, “cancer”, and “anxiety”.

  If the main complaint (complaint) from a patient, the doctor's findings, etc. are word information, the word can be used as a search key as it is. For example, when a word such as “fever” or “headache” is acquired as information related to medical care, the word is directly used as a search key. Further, when the information related to medical care is an examination result, it is preferable to use a combination of the examination method and the result as a search key. For example, if the result of the “occult blood reaction test” is “positive”, a combination of “occult blood reaction test” and “positive” is used as a search key.

  In step S18, information on the disease is extracted from the diagnostic guideline database based on the information on the medical treatment. The control unit 10 investigates whether or not the search key extracted in step S16 is included in each matching map 30 of the matching database registered in the storage unit 12. For example, in the case of the cold matching map 30 shown in FIG. 3, if the search key is a combination of “blood” and “cancer”, there is no corresponding combination registration in the matching map 30. On the other hand, if the search key is “fever”, it corresponds to the item “fever” in the matching map 30 alone. In addition, there is a corresponding combination in the matching map 30 even when the search key obtained from the information related to the test result is “body temperature measurement” and “38 degrees or more”.

  The control unit 10 adds up the points assigned to the search keys existing in the matching map 30 for each matching map 30 in the matching database. In each matching map 30, a high point value is assigned to the content that is highly likely to be obtained in the diagnosis when each illness is affected, and the content that is not likely to be obtained in the diagnosis when each illness is affected. Since a low point value is assigned to, the total of the points where the matching map 30 matches the search key is an index indicating the height of the relation between the information related to the diagnosis and each disease.

  In the cold matching map 30 illustrated in FIG. 3, if the search key is “fever”, it corresponds to the “fever” item of the matching map 30 alone, and one point is added. In addition, when the search key obtained from the information about the test result is “body temperature measurement” and “38 degrees or more”, there is a corresponding combination in the matching map 30, and 3 points are added as points. . On the other hand, there is a corresponding combination in the matching map 30 even when the search key obtained from the information about the test result is “body temperature measurement” and “less than 37 degrees”, but in this case, the point is 1 point. Is subtracted. Similarly, the points are totaled for the matching map 30 for other diseases.

  At this time, it is also preferable to calculate a matching rate indicating the relevance with the search key based on the total points obtained for each disease.

  The control unit 10 checks the correspondence with the search key for all disease matching maps registered in the matching database, and calculates the total of points for each disease. Next, based on the obtained total points for each disease, information on the disease is extracted from the medical information database. For example, if you want to extract only information that is highly relevant to the information related to the examination, sort all the diseases in order from the highest total points, and select only those diseases for which the total points exceed a predetermined threshold point. . Also, if you need to be cautious about your diagnosis, select all illnesses that are relevant to your diagnosis. For example, in the present embodiment, all diseases whose total points are greater than 0 are selected.

  When a disease is selected, the control unit 10 acquires information used for diagnosis registered in association with the selected disease from the medical information database.

  In step S20, information used for diagnosing a disease is transmitted to the medical client computer 102. The control unit 10 uses the network interface unit 14 to transmit information used for diagnosis extracted from the medical information database in step S18 to the medical client computer 10 via the network.

  In step S22, information used for diagnosis in the medical client computer 102 is received. The control unit 20 of the medical client computer 102 that has transmitted information related to the diagnosis to the medical server computer 100 in step S12 uses the interface unit 24 to receive information related to the disease transmitted from the medical server computer 100 via the network.

  In step S24, information used for diagnosis is presented to the user. The control unit 20 causes the display unit 28 to display information used for the diagnosis received in step S22. For example, if a cold and smallpox are selected on the basis of the information related to the diagnosis in step S18, information used when diagnosing a cold and smallpox is displayed on the information presentation screen 120 on the display screen as shown in FIG. Is displayed.

  That is, as shown in FIG. 9, the medical care server computer obtains medical information acquisition means 50 for acquiring information related to medical examinations such as information related to complaints from patients, information related to examination results for patients, and information related to doctors' findings regarding patients. Based on the information obtained by the acquisition unit 50, a function including an information extraction unit 52 that extracts information used for diagnosis of a disease from the diagnostic guideline database is realized. The information extraction unit 52 includes a search key determination unit 54 that obtains a search key from the information obtained by the medical information acquisition unit 50, a matching degree calculation unit 56 that calculates a point from a matching database based on the search key, and a medical treatment based on the point. The information extraction unit 58 that extracts information used for diagnosing a disease from the information database is included.

  As described above, according to the present embodiment, it is possible to objectively present information related to a disease that a doctor or patient needs to diagnose a disease based on information related to a diagnosis input to an electronic medical record. At this time, the information regarding the disease is automatically extracted based on the information regarding the diagnosis input to the electronic medical record, so that the diagnosis time can be shortened. Further, it is not necessary to narrow down the field to be investigated by the doctor in advance or to select a search key used for the search, and it is possible to prevent the field to be researched from being biased or the search key from being wrong.

  In the present embodiment, the medical server computer 100 acquires information related to medical treatment from the medical client computer 102 and performs processing. However, the medical server 100 uses the input unit 16 provided in the medical server computer 100. The computer 100 may be configured to directly receive information related to medical care.

(Second Embodiment)
The medical assistance system in the 2nd Embodiment of this invention has the structure similar to the medical assistance system in 1st Embodiment shown in FIG.

  A clinical history database is registered in the storage unit 12. Similar to the diagnostic guideline database, the clinical history database also includes a matching database and a medical information database. As shown in FIG. 3, the matching database includes a matching map 30 in which points are associated with information such as a chief complaint from a patient, a result of a test for a patient, a doctor's findings, etc. Consists of including. As shown in FIG. 4, the medical information database stores information such as infection route, incubation period, infection period, symptom, suitable treatment method or suitable medicine treatment method and cure rate for each disease. Yes.

  However, the present embodiment is different from the first embodiment in that the matching map 30 is created and updated based on the diagnosis result by the doctor. Therefore, the medical assistance method in the present embodiment will be described below with reference to the flowchart shown in FIG.

  In the medical assistance method according to the present embodiment, each step of the flowchart shown in FIG. 10 is coded as a computer-processable program and processed by the control units 10 and 20 of the medical server computer 100 and the medical client computer 102. Executed by. Since steps S10 to S24 are performed in the same manner as the medical assistance method in the first embodiment, description thereof is omitted.

  In step S30, information related to a clinical action based on a diagnosis made by a doctor is acquired. The control unit 20 of the medical client computer 102 displays a clinical information input screen 130 on the display unit 28 and inputs information on treatment / prescription performed based on the diagnosis result and diagnosis to the doctor or the like, that is, clinical information. Prompt. A doctor or the like uses the input unit 26 to input clinical information.

  As shown in FIG. 11, the clinical information input screen 130 includes a disease name input area 132 for inputting a disease name that is a diagnosis result, a prescription treatment input area 134 for inputting a test performed on the patient, and a result, treatment, prescription, or the like. Is included. When a doctor or the like inputs the name of a disease diagnosed, the doctor selects the disease name input area 132 using a mouse or the like, and inputs the disease name diagnosed using a keyboard or the like into the disease name input area 132. Thereby, the control part 20 acquires the disease name which the doctor diagnosed. Further, the prescription treatment input area 134 is selected using a mouse or the like, and the contents of the examination, treatment, or prescription performed as a result of diagnosis using the keyboard or the like are input to the prescription treatment input area 134. Thereby, the control part 20 acquires the content of the test | inspection, treatment, or prescription performed as a result of diagnosis.

  In FIG. 11, the information used for the diagnosis displayed on the information presentation screen 120 in step S24 is confirmed, the doctor diagnoses that it is a “cold”, and prescribes 7 tablets of medicine A for 7 days after each meal. An example of the input result is shown.

  In this step, using a mouse or the like, by selecting one disease name from among the disease candidates displayed on the information presentation screen 120 in step S24, the doctor inputs the disease name as having been diagnosed with the disease. It is also suitable to perform. In addition, it is also preferable to automatically input clinical information on the assumption that the examination, treatment or prescription is performed by selecting the examination, treatment or prescription displayed on the information presentation screen 120 in step S24. is there.

  In step S32, information related to the clinical action is transmitted to the medical care server computer. The control unit 20 uses the interface unit 24 to transmit information regarding the clinical action such as the disease name and treatment and prescription acquired in step S30 to the medical care server computer 100 via the network.

  In step S34, the clinical server computer 100 receives information related to the clinical action. The control unit 10 uses the interface unit 14 to receive information related to the clinical action transmitted from the medical client computer 102 via the network.

  In step S36, the matching database is created or updated based on the information regarding the clinical action. Step S36 is made into a subroutine, and FIG. 12 shows a flowchart thereof.

  In step S36-1, the control unit 10 examines the matching database held in the storage unit 12, and determines whether a matching map for the disease name received in step S34 is already registered in the matching database. If the matching map has not been registered yet, the process proceeds to step S36-2, and if the matching map has already been registered, the process proceeds to step S36-3.

  In step S36-2, a new matching map is created. The control unit 10 registers the disease name received in step S34 and the search key extracted from the information related to the diagnosis in step S16 in association with each other. For example, when “cold” is received as the disease name in step S34, and the combination of the word “fever” and “body temperature measurement” and “38 degrees or more” is extracted as a search key in step S16, as shown in FIG. In addition, a matching map 34 corresponding to “cold” is newly created, and a combination of “cold” and “body temperature measurement” that are search keys and “38 degrees or more” is registered in the map. When the registration is completed, the process proceeds to step S36-5.

  In step S36-3, it is determined whether or not the search key extracted from the information related to the diagnosis in step S16 has already been registered in the existing matching map corresponding to the disease name received in step S34. If the search key has not been registered yet, the process proceeds to step S36-4, and if the search key has already been registered, the process proceeds to step S36-5.

  In step S36-4, the search key extracted from the information related to the diagnosis in step S16 is newly registered in the existing matching map corresponding to the disease name received in step S34. For example, as shown in FIG. 14, the word “fever” and the combination “body temperature measurement” and “37 degrees or more” have already been registered as search keys in the matching map 36 corresponding to a cold. If “cold” is received and the combination of the word “fever” and “body temperature measurement” and “38 degrees or more” is extracted as a search key in step S16, the matching map 36 corresponding to the existing cold has “ A combination of “body temperature measurement” and “38 degrees or more” is newly registered. When the registration is completed, the process proceeds to step S36-5.

  In step S36-5, points are assigned to the matching map targeted for new creation or update. Points can be assigned by various methods. For example, a value obtained by dividing a predetermined reference value by the number of extracted search keys is assigned to the search key extracted in step S16.

  As shown in FIG. 15, the word “fever” and the combination of “body temperature measurement” and “37 degrees or more” are already registered as search keys in the matching map 38 corresponding to a cold. ”And the combination of the word“ fever ”and“ body temperature measurement ”and“ 38 degrees or more ”is extracted as a search key in step S16, and if the reference value is 1, 1 is the number of search keys. 0.5 divided by 2 is added to the combination points of “fever” and “body temperature measurement” and “38 degrees or more”.

  It is also preferable to change the existing point assigned to the search key extracted in step S16 to a value multiplied by a predetermined increase rate. Also, the value is obtained by adding the value obtained by multiplying the total value of all points already assigned to the matching map by a predetermined increase rate and the existing points assigned to the search key extracted in step S16. It is also suitable to do.

  When the creation or update of the matching database is completed, the process is returned to the main routine.

  In step S38, a medical information database is created or updated based on the disease name and clinical information. Step S38 is made into a subroutine, and FIG. 16 shows a flowchart thereof.

  In step S38-1, the control unit 10 investigates the medical information database held in the storage unit 12, and information used for diagnosis for the disease name received in step S34 is already registered in the medical information database. Determine whether or not. If the information is not yet registered for the received disease name, the process proceeds to step S38-2, and if the information is already registered, the process proceeds to step S38-3.

  In step S38-2, a database for the disease name received in step S34 is added to the medical information database. The control unit 10 registers the disease name and clinical information received in step S34 in association with each other. For example, if “cold” is received as the disease name in step S34 and “three tablets of drug A, prescription for 7 days after each meal” is received as the clinical information, as shown in FIG. Create a new item of “cold” and register “prescription” as “prescription 3 tablets, prescription for 7 days after each meal”. When registration is completed, the process returns to the main routine.

  In step S38-3, it is determined whether or not the clinical information received in step S34 is already registered in association with the disease name received in step S34 in the medical information database. If clinical information has not been registered yet, the process proceeds to step S38-4, and if clinical information has already been registered, the process returns to the main routine.

  In step S38-4, the clinical information received in step S34 is newly registered in association with the disease name received in step S34 in the medical information database. For example, as shown in FIG. 18, the infection route, the incubation period, the infection period, and the symptom are already registered in the medical information database in association with the cold, and “cold” is received as the disease name in step S34 as clinical information. If “3 tablets of A drug, prescription for 7 days after each meal” has been received, information “3 tablets of Drug A, prescription for 7 days after each meal” is added and registered as “prescription”. When registration is completed, the process returns to the main routine.

  That is, as shown in FIG. 19, the medical care server computer obtains medical information acquisition means 50 for acquiring information related to medical examination such as information related to a complaint from a patient, information related to a test result for the patient, and information related to a doctor's findings for the patient. Information extraction means 52 for extracting information used for diagnosing disease from the clinical history database based on information obtained by the acquisition means 50, and the clinical action actually performed such as the name of the disease diagnosed by the doctor, treatment, prescription, etc. Create or update a clinical history database based on diagnosis results acquisition means 60 for acquiring information, information on the diagnosis acquired by the medical information acquisition means 50 and diagnosis results such as disease names and clinical information acquired by the diagnosis result acquisition means 60 The function including the database changing means 70 is realized. The information extraction unit 52 includes a search key determination unit 54 that obtains a search key from the information obtained by the medical information acquisition unit 50, a matching degree calculation unit 56 that calculates a point from a matching database based on the search key, and a medical treatment based on the point. The information extraction unit 58 that extracts information about a disease from the information database is included. Further, the database changing means 70 includes a matching database changing unit 72 that creates or updates a matching database based on a disease name and a search key, and a medical information database changing unit 74 that creates or updates a medical information database based on a disease name and clinical information. It becomes the composition which includes.

  As described above, in this embodiment, the matching database is created or updated based on the information obtained by the diagnosis and the name of the disease diagnosed by a doctor or the like. In addition, a medical information database is created or updated based on the name of a disease diagnosed by a doctor or the like and clinical information such as treatments, prescriptions, and tests actually performed. That is, it is possible to create or update a clinical history database by associating information expected to be obtained by a diagnosis with information used for diagnosing a disease. Accordingly, information used for diagnosis can always be searched based on new information, and new information can always be presented as information used for diagnosis.

  For example, based on diagnosis results and clinical information performed in a plurality of hospitals by connecting medical client computers installed in a plurality of hospitals existing in a predetermined area via a network to one medical server computer Since the matching database and the medical information database included in the clinical history database are created or updated, the latest information on diseases that are prevalent recently in the area is accurately presented, or is performed at general hospitals, etc. Information on the latest clinical practice can be widely used in many other hospitals.

  In the embodiment, the matching database and the medical information database are created or updated every time the diagnosis of the disease name and the clinical information are acquired. However, the diagnosis result of the disease name and the clinical information are accumulated for several days to several weeks to collect them. Then, it may be created or updated. Thereby, processing with a large processing load of creation or update of a database can be performed according to a vacation such as a hospital. It is also possible to statistically assign points to the matching database based on a plurality of clinical information.

It is a conceptual diagram which shows the connection aspect of the medical treatment server computer and medical care client computer in embodiment of this invention. It is a block diagram which shows the structure of the medical care server computer and medical care client computer in embodiment of this invention. It is a figure which shows the example of registration of the matching database in embodiment of this invention. It is a figure which shows the example of registration of the medical information database in embodiment of this invention. It is a figure which shows the flowchart of the medical treatment assistance method in the 1st Embodiment of this invention. It is a figure which shows the example of a display of the consultation information input screen in embodiment of this invention. It is a figure which shows the example of the information regarding the diagnosis in embodiment of this invention. It is a figure which shows the example of a display of the information presentation screen in embodiment of this invention. It is a figure which shows the function structure of the medical treatment assistance apparatus in the 1st Embodiment of this invention. It is a figure which shows the flowchart of the medical treatment assistance method in the 2nd Embodiment of this invention. It is a figure which shows the example of a display of the clinical information input screen in embodiment of this invention. It is a figure which shows the flowchart of creation or update of the matching database in embodiment of this invention. It is a figure which shows the example of registration of a new matching map. It is a figure which shows the example of a change of the existing matching map. It is a figure which shows the example of a change of the point in the existing matching map. It is a figure which shows the flowchart of creation or update of the medical information database in embodiment of this invention. It is a figure which shows the example of registration of new medical information. It is a figure which shows the example of a change of the existing medical information. It is a figure which shows the function structure of the medical treatment assistance apparatus in the 2nd Embodiment of this invention.

Explanation of symbols

  10, 20 control unit, 12, 22 storage unit, 14, 24 interface unit, 16, 26 input unit, 18, 28 display unit, 30, 34, 36, 38 matching map, 32 medical information database, 50 medical information acquisition means 52 Information extraction means 54 Search key determination section 56 Match degree calculation section 58 Information extraction section 60 Diagnosis result acquisition means 70 Database change means 72 Matching database change section 74 Medical information database change section 100 Medical server Computer, 102 Medical client computer, 110 Medical examination information input screen, 112 Classification selection area, 114 Item selection area, 116 Fixed phrase / phrase candidate display area, 118 Input information display area, 120 Information presentation screen, 130 Clinical information input screen, 132 Disease name input area, 134 Prescription treatment input area.

Claims (15)

A storage unit that holds a diagnostic guideline database that associates information that is expected to be obtained through medical examinations with information that is used for diagnosis of diseases;
Medical information acquisition means for accepting input of information actually obtained through medical examination as information on medical examination,
Information extracting means for extracting information used for diagnosing a disease from the diagnostic guideline database based on information on the diagnosis acquired by the medical information acquisition means;
A medical assistance device comprising: A storage unit that holds a clinical history database that associates information that is expected to be obtained in a diagnosis with information that is used for diagnosis of a disease,
Medical information acquisition means for accepting input of information actually obtained through medical examination as information on medical examination,
A diagnostic result acquisition means for accepting input of information on clinical practice actually performed;
A database changing unit that creates or updates the clinical history database based on information on the diagnosis acquired by the medical information acquisition unit and information on the clinical action acquired by the diagnostic result acquisition unit;
A medical assistance device comprising: In the medical assistance device according to claim 2,
A medical assistance apparatus, comprising: information extracting means for extracting information used for diagnosing a disease from the clinical history database based on information relating to a diagnosis acquired by the medical information acquisition means. In the medical assistance device according to any one of claims 1 to 3,
The medical support device is characterized in that the information on the examination is at least one of a main complaint or complaint from a patient, a test result performed on the patient, and a doctor's findings. In the medical treatment support apparatus according to any one of claims 1 to 4,
The medical support apparatus characterized in that the information used for the diagnosis is information on at least one of disease name, disease application example, examination content, treatment for disease, and prescription for disease. A medical support method using a medical support device including a storage unit that stores a diagnostic guideline database that associates information that is expected to be obtained in a diagnosis with information that is used for diagnosis of a disease,
A medical information acquisition process that accepts input of information actually obtained from a medical examination as information related to a medical examination,
Based on information related to the diagnosis acquired in the medical information acquisition step, an information extraction step of extracting information used for diagnosis of a disease from the diagnostic guideline database;
A medical support method characterized by comprising: A medical support method using a medical support device including a storage unit that holds a clinical history database that associates information that is expected to be obtained in a diagnosis with information that is used for diagnosis of a disease,
A medical information acquisition process that accepts input of information actually obtained from a medical examination as information related to a medical examination,
A diagnostic result acquisition step for accepting input of information on clinical practice actually performed;
A database changing step for creating or updating the clinical history database, based on the information on the diagnosis acquired in the medical information acquisition step and the information on the clinical action acquired in the diagnostic result acquisition step;
A medical support method characterized by comprising: The medical support method according to claim 7,
A medical assistance method, comprising: an information extraction step of extracting information used for diagnosing a disease from the clinical history database based on information relating to a diagnosis acquired in the medical information acquisition step. In the medical treatment support method according to any one of claims 6 to 8,
The medical support method according to claim 1, wherein the information related to the examination is at least one of a main complaint or complaint from a patient, a result of a test performed on the patient, and a finding of a doctor. In the medical treatment support method according to any one of claims 6 to 9,
The information used for the diagnosis is information relating to at least one of disease name, disease application example, examination content, treatment for disease, and prescription for disease. A computer having a storage unit that holds a diagnostic guideline database that associates information that is expected to be obtained in a diagnosis with information that is used to diagnose a disease;
Medical information acquisition means for accepting input of information actually obtained through medical examination as information on medical examination,
Information extracting means for extracting information used for diagnosing a disease from the diagnostic guideline database based on information on the diagnosis acquired by the medical information acquisition means;
A medical support program characterized in that it functions as a medical support device including A computer having a storage unit that holds a clinical history database that associates information that is expected to be obtained in a diagnosis with information that is used for diagnosis of a disease;
Medical information acquisition means for accepting input of information actually obtained through medical examination as information on medical examination,
A diagnostic result acquisition means for accepting input of information on clinical practice actually performed;
A database changing unit that creates or updates the clinical history database based on information on the diagnosis acquired by the medical information acquisition unit and information on the clinical action acquired by the diagnostic result acquisition unit;
A medical support program characterized in that it functions as a medical support device including The medical assistance support program according to claim 12,
A medical assistance characterized by functioning as a medical assistance device including an information extracting means for extracting information used for diagnosing a disease from the clinical history database based on information relating to a diagnosis acquired by the medical information acquisition means. program. In the medical treatment support program according to any one of claims 11 to 13,
The medical support program characterized in that the information on the examination is at least one of a main complaint or complaint from a patient, a test result performed on the patient, and a doctor's findings. In the medical treatment support program according to any one of claims 11 to 14,
The medical support program characterized in that the information used for the diagnosis is information on at least one of disease name, disease application example, examination content, treatment for disease, and prescription for disease.

Images