KR20040031469A - Medical expert system for urology and managing metohd of the same - Google Patents

Abstract

PURPOSE: An urology expert system and an operating method thereof are provided to presume/offer a symptom and a remedy of a patient by input of a doctor or a user, and offer information for an interaction and a side effect of a medicine prescribed by the doctor. CONSTITUTION: A decision making support server(42) searches the medical record data stored in a clinical diagnosis database(44) by receiving input data and extracting a keyword for the input data, and extracts/transmits a presuming result including diagnosis information, a test item and the remedy for each diagnosis information, and a probability for each diagnosis information and remedy through a search result and the input data. The clinical diagnosis database stores/manages the medical record data accumulated and periodically transmitted from a medical institution.

Description

MEDICAL EXPERT SYSTEM FOR UROLOGY AND MANAGING METOHD OF THE SAME}

The present invention relates to a urologist medical expert system and a method of operation thereof, which will be described in more detail. The present invention relates to a urologist medical expert system that provides information on interactions and side effects of a medicine and its operation.

Most clinical information currently used in Korea is based on textbook information written in foreign countries and information contained in foreign papers.

First, there is no standardization of medical methods because domestic clinical information is not standardized, medical statistics are poor, and information sharing is not made.

Second, due to frequent moving of patients and frequent replacement of phone numbers and information, follow-up is not properly performed.

Third, most hospitals and medical departments do not have the foundation of decision-making system and most of the medical information database is not established.

Lastly, each academic level database focuses on statistical processing, rather than storing medical information.

Since the 1990s, articles on clinical care guidelines have mainly adopted a single or two or three methodologies, such as expert consensus, meta-analysis, and data mining, which are limited to new expert knowledge or limited to new knowledge. The response was not resilient. Therefore, it is required to establish a flexible and organic clinical medical information network where data can be analyzed and the results are obtained through consultation and inspection.

In addition, the computerization of medical records, which has been active since the late 1990s, is insufficient to provide data for advanced data analysis. Therefore, pattern research and practical work are being requested for medical treatment and treatment using a clinical medical database using the discharge summary records of urological patients using multimedia accumulated over the past 10 years.

In addition, the conventional clinical diagnostic data and medical research data are accumulated through the establishment of a hospital system, but are managed in the form of simply showing clinical results and research results, and thus are insufficient to be used as information for decision support. Therefore, the data warehouse can be integrated with the hospital system, medical research data management system, and integrated management of related data, and based on the accumulated data, it continuously collects and processes information necessary for decision support and effectively manages the knowledge management system. The implementation of the system is required.

There is an increasing demand to utilize the accumulated medical information as information for decision making, but most of them are managed in the form of raw data, which makes it difficult to use for actual medical and research activities. Therefore, there is a need to implement a system that can process information held in each hospital into useful forms and provide it to other institutions (hospitals, research institutes). In addition, the information accumulated by each institution (hospital, research institute) is developed according to the standards set by each holding institution and cannot be directly used by other institutions. Therefore, the standard of urology record is based on past medical data. The establishment of a database for presentation and decision support is required.

The system for decision support is being developed through many researches, but its utilization is falling due to the completion of research and development for each of data warehouse construction, mobile system development, and prediction model development. In response to these findings, development of an integrated service system using wired / wireless technology, mobile technology, the Internet, and VOD (Video On Demand) is required.

The present invention has been presented to solve the above problems, and an object of the present invention is to provide a urologist medical expert system.

In addition, another object of the present invention is to provide a method of operating a urologist medical expert system.

1 is a block diagram of a urologist medical expert system according to the present invention.

Figure 2 is a flow chart of the process of treating a patient using a urological medical expert system according to the present invention.

Figure 3 is an exemplary embodiment of the inference result provided by the urological medical expert system according to the present invention.

Figure 4 is an illustration of a knowledge management model of the urological medical expert system according to the present invention.

*** Explanation of main parts of drawing ***

10: doctor client 12: doctor terminal

20: user client 22: user terminal

30: Internet or wired and wireless communication network 40: Medical expert system

42: decision support server 44: clinical care database

46: Medical Research Database 48: Drug Database

50: medical institution system 52: OCS

60: medical research institute system 62: medical research institute server

70: medicine research institution system 72: medicine research institution server

80: Clinical Information Network

In order to achieve the above object, the urological medical expert system according to the present invention, receiving the input data including the external symptoms of the patient, the client's findings and initial medical terms according to the initial treatment, and diagnostic information about the patient Is a urological medical expert system that derives and transmits inference results including test items and treatments.Receives input data, extracts keywords, retrieves medical record data stored in a predetermined clinical care database, and retrieves search results and input data. A doctor who derives and transmits a reasoning result including a plurality of diagnostic information representing a patient's expected disease and condition, a test item for each diagnostic information, a treatment method for each diagnostic information, and a probability of each diagnostic information and treatment. Decision support server; And a clinical medical database storing and managing predetermined medical record data which is accumulated and periodically transmitted in a predetermined medical institution for treating a patient.

Input data is input in natural language sentence form,

The urologist medical expert system is periodically transmitted from a medical research institute system provided by a predetermined medical research institute, and further includes a medical research results database including research papers, research results, and reports.

In addition, a drug database that is periodically transmitted from the drug research institute system provided by a given drug research institute and stores drug data including drug name, ingredient name, applied disease, dosage form, side effects, dose, and interaction for each medicine To include more,

Decision support server,

It is preferable to receive a list of medicines prescribed to the patient from the client client, retrieve the medicine data from the medicine database for each of the prescribed medicines, and transmit the search results to the client client.

In addition, in order to achieve the above another object, the operation method of the urological medical expert system according to the present invention, the appearance of the patient, receiving the input data including the medical client's opinion and medical terminology according to the initial treatment And a method of operating a urologist medical expert system that derives and transmits an inference result including a diagnosis information, an inspection item, and a treatment method for a patient, the method comprising: receiving input data from a client client and extracting a keyword from the input data; step; A second step of extracting medical record data by searching a predetermined clinical medical database in which medical record data of each patient is stored using the extracted keyword; A third step of deriving one or more diagnostic information including expected diseases and conditions of the patient based on the input data and medical record data, and deriving test items and treatments for each diagnostic information; A fourth step of calculating a ratio of the probability of each diagnosis information through the medical record data and calculating a ratio of the frequency of use and the accuracy of the treatment; And a fifth step of transmitting the calculation results of the third and fourth steps to the caregiver client.

Preferably, the method comprising: periodically receiving medical record data accumulated in a medical institution from a medical institution system provided in a predetermined medical institution; Modifying and standardizing a format of the received medical record data and classifying each item; And storing and updating the classified medical record data in the clinical medical care database.

Receiving a list of medications prescribed to the patient from the provider client; Extracting the drug data for each drug by searching a drug database storing drug data including drug name, ingredient name, applied disease, dosage form, side effects, dose, and side effects for each drug using the list; And transmitting the extracted medical data to a medical care client.

Hereinafter, with reference to the accompanying drawings will be described in detail the advantages, features and preferred embodiments of the present invention.

1 is a block diagram of a urologist medical expert system according to the present invention. Referring to FIG. 1, the urological medical expert system according to the present invention comprises inputting a patient's symptoms and findings according to an initial diagnosis result into a medical expert system 40, and inferring results from the medical expert system. Receiving a medical practitioner client to receive the patient 10, the user's client to receive the inference results from the medical expert system by inputting his symptoms, etc. into the medical expert system, the Internet or wired and wireless communication network 30, the medical practitioner The medical expert system 40 and the medical expert system 40 which provide the results of research and medicine related to the inference result including information on diagnosis, test items, and therapies by receiving data from a client or a user client. Medical institution system (50) that periodically transmits medical record data, which is medical records, before medical care A clinical research institution system (60) that periodically transmits medical research result data to a literacy system, a clinical research institution system (70) that periodically transmits medical data to a medical expert system, and a clinician verifying inference results of the medical expert system. A medical care information network (80).

The caregiver client 10 according to the present invention corresponds to a general doctor as a caregiver of a patient. The caregiver client inputs the patient's symptoms and his / her findings, etc., which are found as a result of the initial treatment of the patient, to the medical expert system 40, and receives the inference result from the medical expert system to treat the patient. When the doctor client inputs data, it is preferable to use a sentence input method of natural language. In addition, the client client requests the medical expert system to receive the searched data when he / she wants to read the information such as the research paper and the research result related to the inference result. In addition, when a patient is prescribed a medicine, the prescription of the prescribed medicine is input to the medical expert system, and data about the efficacy, interaction and side effects of the prescribed medicine is received from the medical expert system.

The doctor client 10 accesses the medical expert system 40 using the Internet or a wired or wireless communication network 30 to transmit the data input by the doctor client to the medical expert system, and receives the data transmitted from the medical expert system. It is provided with a medical care provider terminal 12 to display. The medical care provider terminal is a terminal that can be connected to a medical expert system using the Internet or a wired or wireless communication network, and a general terminal having an input device, a display device, and a communication device can be used. As a representative example, a personal computer, a PDA, or a mobile phone And the like can be used.

The user client 20 according to the present invention is a person who wants to acquire professional medical information through the medical expert system 40, and inputs a symptom of the person or a third party into the medical expert system, and infers the inferred result from the medical expert system. Receive. Data input at this time also uses a sentence input method of natural language.

The user client 20 accesses the medical expert system 40 using the Internet or a wired or wireless communication network 30 to transmit the data input by the user client to the medical expert system, and receives the inference result data transmitted from the medical expert system. And a user terminal 22 for displaying. The user terminal is a terminal that performs a function similar to that of a medical practitioner terminal, and a personal computer, a PDA, or a mobile phone may be used.

The Internet or wired / wireless communication network 30 according to the present invention is a medium for mediating connection and data transmission and reception between the medical care provider terminal 12 or the user terminal 22 and the medical expert system 40. Various wired and wireless communication networks, such as a telephone network, are included. In addition, when the medical care provider terminal or the user terminal is a terminal supporting satellite communication, the Internet or wired or wireless communication network includes a satellite communication network.

The medical expert system 40 according to the present invention receives the input data of the medical care client 10 or the user client 20 transmitted from the medical care provider terminal 12 or the user terminal 22 and obtains an inference result to obtain a medical care practitioner. The terminal transmits the information to the terminal or the user terminal, extracts the research result or the medical information according to the request of the client from the client terminal, and transmits the extracted information to the doctor terminal. The medical expert system includes a decision support server 42, a clinical care database 44, a medical research results database 46, and a drug database 48.

Decision support server 42 according to the present invention is the symptom information input by the caregiver client 10 or the user client 20 from the caregiver terminal 12 or the user terminal 22, findings and full text of the caregiver client Medical terms and the like are received, and the clinical medical care database 44 is searched to derive inference results for diagnosis, test items and treatment. The symptom information input by the treating client or the user client includes information about symptoms that may be intuitively apparent to the patient and symptoms determined through initial examination. Also, in the inference result, the diagnosis is information on a patient's disease or condition predicted through input data, the test item is information on a test required for a more accurate diagnosis, and the treatment is a treatment for a patient's disease predicted. Means the way.

When the decision support server 42 derives the result of inference, it should be based on scientific literature, based on clinical and professionalism, and on a reliable methodology. In order to explain the trend, it is desirable to use the meta-analysis method, which is a statistical method that can integrate the results and draw a general conclusion. This consists of a document search and collection step, a qualitative meta-analysis step and a quantitative meta-analysis step.

In the document collection stage and qualitative meta-analysis stage, the collected literature is searched by searching domestic and international documents for the literature search database and clinical medical guidelines necessary for document collection based on a predetermined document evaluation form. In this paper, data such as publication journals, statistical methods, and qualitative level evaluation by research design methods are converted into variables and analyzed using various statistical packages. In addition, in the quantitative meta-analysis step, a method that is applied when there are more than a certain number of papers providing information for calculating the effective size required for the integration between papers is used.

As described above, since the input data of the caregiver client and the user client are input in the form of sentences of natural language, the decision support server analyzes the received input data to extract the keywords, and then, based on the extracted keywords, Search and derive inference results based on the search results. The search results for the clinical care database are sorted and classified according to the similarity rate for the keywords to calculate the ratio for each case. The similarity rate with respect to a keyword may be applied by various methods, such as the order including the most keyword or weighting a specific keyword. In addition, the searched results are classified by similar or identical cases, and a ratio for each case is calculated to generate an inference result.

As an example, diagnostic information on the disease or condition of the patient predicted according to the input data is listed, and the ratio (probability) for each case is presented together. In addition, if tests are required for the reliability of the test items or diagnosis results additionally required for each item of diagnostic information, the test items are listed, and the test results are divided into cases for each test item. present. In this case, the treatment may include treatment or other test items. In other words, it can be expressed in the same way as' A test is performed, and if the test result is B, then the C test is performed. In addition, the diagnosis information and the treatment method presents the ratio of each item together so that the client can make a more accurate judgment. Percentage refers to the likelihood, frequency or accuracy of each item. In addition, when there is a change in diagnosis or treatment for each period, the diagnosis or treatment for each period should be presented separately. For example, A was diagnosed as B in the late 80's and used to treat C. In the early 90's, D was diagnosed as D and E was used in the late 90's. In the 2000s, H was diagnosed as H and the treatment method I was used. Therefore, the caregiver client can provide a quality care service to a patient, and the user client can easily acquire medical information.

The decision support server 42 transmits the generated inference result to the medical care provider terminal 12 or the user terminal 22. In addition, when the medical care client 10 requests the research result data for the transmitted inference result, the relevant research result data is retrieved from the medical research result database 46 and transmitted. Unlike medical information, research results should use keyword search method. That is, when the client client views the medical information provided from the decision support server and wants to view related research results, the corresponding client inputs the corresponding keyword or clicks the link of the keyword included in the medical information. Input data of the client's client is transmitted to the decision support server, and the decision support server searches for information such as related articles or research results from the medical research result database using the received data as a keyword, and searches the searched data or list. Send to the child terminal. In the case of transmitting a list, a link for each item may be transmitted.

In addition, the decision support server 42 receives a list of medications prescribed by the doctor client 10, extracts information about the medicine from the medicine database 48, and transmits the information to the doctor terminal 12. That is, the client client receives a list of medicines prescribed by the patient, retrieves medicine information such as effects, interactions, and side effects of each medicine from the medicine database, and transmits the searched result to the doctor terminal. Thus, the treating client can provide a high quality prescription by obtaining detailed information about each medication in prescribing the medication to the patient.

The clinical medical care database 44 according to the present invention stores and manages medical record data transmitted from each medical institution system 50. The medical record data is information generated by treating a patient in each medical institution and is managed by an order communication system (OCS) provided in the medical institution system, and is periodically transmitted and updated from each medical institution system. Medical record data includes discharge summary, discharge summary, X-ray, CT, MRI, ultrasound, nuclear medicine data, endoscopic procedure summary information (Cystoscopy), medical records, It stores and manages detailed medical information such as surgical records and symptom information.

The medical research result database 46 according to the present invention stores and manages medical research result data such as presentation data, articles, recent research trends, and reports of each medical society. Medical research result data are periodically received and updated from each medical research institute system 60.

The drug database 48 according to the present invention stores and manages drug data such as drug name, ingredient name, applied disease, dosage form, side effects, dose and interaction for each drug. Medication data is periodically received and updated by each medicinal research institution system 70. The system of pharmaceutical research institutions is the system of pharmaceutical research institutes of each university.

The medical institution system 50 according to the present invention is a system of a medical institution for treating a patient, and transmits medical record data to the medical expert system 40 periodically, and includes an OS 52.

The OS 52 according to the present invention is a system for storing and managing medical record data of a medical institution, and accumulates and stores all medical records generated while treating a patient in the medical institution. The OCS periodically transmits the accumulated medical record data to the medical expert system 50.

The medical research institution system 60 according to the present invention is a system of each research organization or society that studies medicine. The medical research system periodically transmits the medical research result data such as the thesis, report, and presentation data to the medical expert system 40. The engine server 62 is included.

The pharmaceutical research institution system 70 according to the present invention is a system of a research institution of a university that studies medicine, and includes a pharmaceutical research institution server 72 that periodically transmits the medical research result data to the medical expert system 40. do.

Clinical medical information network 80 according to the present invention serves to verify the inference results of the medical expert system (40). The clinical information network includes the medical society, and the urology medical expert system includes the Korean Urology Association (URO Digital Decision Making System Research Group). The clinical medical information network periodically accesses the medical expert system, requests the inference by inputting the symptoms and findings of the virtual patient for testing, and verifies the inference result provided by the medical expert system to generate the correct inference result. Verify that In addition, verification of research results and medical information as well as inference results of medical information can be performed. Therefore, it is possible to increase the reliability of the inference result of the medical expert system, and if there is an error, it is possible to quickly correct the error.

2 is a flow chart of a procedure for treating a patient using a urological medical expert system according to the present invention. Referring to Figure 2, the treatment process using the urological medical expert system according to the present invention has the following flow.

Medical institution system 50 in accordance with the present invention transmits the medical record data periodically (step S100). Specifically, the OS 52 of each medical institution system periodically transmits the accumulated medical record data.

The medical expert system 40 according to the present invention receives the medical record data (step S102) and stores the received data in the clinical medical care database 44 (step S104). The OS 52 of each medical institution system 50 stores and manages medical records of the medical institution, and periodically transmits the accumulated medical record data to the medical expert system. Since the data transmitted from each medical institution system has a unique data format for each medical institution, the received data cannot be used as it is. Therefore, the received medical record data is standardized to the data format of the medical expert system, and the standardized data is classified by each item to update the clinical medical database.

The medical research institution system 60 according to the present invention periodically transmits medical research result data (step S106). That is, the medical research institution server 62 of the medical research institution system periodically transmits medical research result data such as a thesis or research result to the medical expert system.

The medical expert system 40 according to the present invention receives the medical research result data (step S108) and stores the received data in the medical research result database 46 (step S110). Like medical record data, medical research result data may have a different data format depending on the medical research institute. Therefore, the medical expert system converts the received data into the same format through standardization process, classifies the standardized data and stores it in the medical research result database. In addition, the medical research institute system may transmit only a list of the corresponding information without transmitting all the data about the article or the research result. In this case, a list of articles or research results and a link to each item may be stored in the medical research result database, and the user may access the medical research institution system in which the corresponding data is stored if the user wants to view the data.

The clinician client 10 according to the present invention uses the clinician terminal 12 to access a predetermined website provided by the medical expert system 40 or the medical expert system (step S112), and the medical expert system is a user. The client is authenticated through the authentication process (step S114). As an authentication method of the caregiver client, a security authentication method using an authentication means such as a smart card or a fingerprint terminal as well as a method using a conventional ID and password may be used. In addition, since the process of the user client accessing the medical expert system and using the service is similar to the process of the client client described below, a description of the process of the client client will be replaced.

When the caregiver client 10 according to the present invention selects a search for medical records (step S116), the medical expert system 40 requests input of a search word (step S118). The client client inputs the patient's symptoms, appearance status, the client's client's opinion and related medical terminology determined in accordance with the patient's initial medical treatment (step S120), and requests the medical professional system to retrieve the medical record data ( Step S122). As described above, the caregiver client inputs a search word in a natural language sentence form. In other words, the input items are input in free form.

The medical expert system 40 according to the present invention extracts a keyword from the input search word and searches the clinical medical database 44 according to the keyword (step S124), and includes a diagnosis, a test item, and a treatment method based on the search result. Deduce the inference result (step S126). As described above, the derivation of the inference result is based on the input data and the search result of the client and the diagnosis information including the disease or condition of the patient foreseen, and the derivation of the test items and treatment for each diagnosis information. The percentages for each item are presented together. In other words, the patient's predicted diagnosis items and the probability of each item are presented as ratios, the necessary test items are presented for each diagnosis item, and the test results and the response to each result that can be obtained for each test item are presented. Present method or diagnosis results. In addition, the ratio of possible treatments and the frequency of use or accuracy of each treatment for each diagnosis item is presented as a ratio, and if there is a change in treatment by period, the treatment is classified by period.

The medical expert system 40 according to the present invention displays the inference result obtained in step S126 (step S128).

The medical care client 10 according to the present invention performs diagnosis by looking at the displayed inference result and derives an appropriate treatment. In addition, in order to view a research paper or a research result with respect to the inference result, a search for the research result data is requested (step S130). In the case of research result data retrieval, the client client directly inputs a keyword or the client client selects (clicks) a keyword among inference results.

The medical expert system 40 according to the present invention searches the medical research result database 46 using the input keyword (step S132), and displays the searched study result data (step S134). The research data is data on the research paper or the research results for each item, and includes a link to a website containing each data or storing the data. Therefore, the client client can directly access the necessary data or access the website where the data is stored through a link.

The client 10 according to the present invention transmits the result of treating the patient to the medical expert system 40 (step S136), and the medical expert system receives the result of the treatment and stores it in the clinical medical care database 44 ( Step S138). The treatment result is data similar to the medical record data, and the transmission and storage of the treatment result is performed in the same process as in steps S100 to S104, and is included in the transfer of steps S100 to S104 when the client client is included in the medical institution system. do.

The pharmaceutical research institution system 70 according to the present invention periodically transmits the medicine data to the medical expert system 40 (step S140), and the medical expert system receives the medicine data (step S142) to the medicine database 48. Save (step S144). Medication data is data for each efficacy, interaction and side effects of the drug.

The client client according to the present invention writes a prescription according to the patient's treatment (step S146), and if a user wants to obtain information about the prescribed medicine, inputs a list of prescribed medicines and requests a search (step S148).

The medical care professional system 40 according to the present invention searches the medicine database 48 for the input prescription medicine (step S150), and displays the search results for each medicine (step S152). Information displayed includes efficacy, interactions and side effects for the prescribed medication.

The treating client 10 according to the present invention inquires the information of each prescription medicine through the displayed information and issues a prescription (step S154).

Figure 3 is an exemplary embodiment of the inference result provided by the urologist medical expert system according to the present invention, is an example of performing a predetermined test for the symptoms of the patient and providing a countermeasure for each case for the test result. An embodiment of the inference result of the urologist medical expert system according to the present invention will be described with reference to FIG. 3.

If a kidney mass is found by chance (Renal mass), physical examination (physical examination) and urinalysis (Urinalysis) are performed, and ultra-sonography is performed.

If the result of the ultrasound test is a visible lobulation, a nuclear medicine test (99Tc-DTPA scan) is used to determine whether the mass is normal or normal, and if normal, follow-up is performed.

In addition, when the result of the ultrasonography is a cystic lesior, only the observation (Observe) is performed, and if the species is a solid or indeterminate mass, CT is performed.

CT scan is followed by follow-up observation for cystic lesior and renal puncture for indeterminate intermediate. If the result of fine needle inhalation is bloody fluid, cytology should be performed to determine if it is positive (positive cytology). In case of negative cytology, angiography is performed. If normal or avascular appearance is observed, follow-up observation is performed. Abnormal vasculature is used for radical neoextraction. Radical nephrectomy is performed. In the case of clear aspiration, a cytology test is performed for clear fluid. If positive, it is considered as a tumor and if it is negative, a follow-up observation is performed.

In the case of solid mass without evidence of renal vein or vena caval involvement as a result of the CT, a radical nephrectomy is performed and a solid mass and invasion of the renal vein or vena cava In the case of solid mass with evidence of renal vein orvena vaval involvement, MRI or inferior venacavography is performed. As a result, if there is no involvement of the coronary tube or only involvement of the renal vein (No involvement or renal vein only), radical reconstruction is performed. ).

Figure 4 is an exemplary view of the knowledge management model of the urological medical expert system according to the present invention, it will be easily understood by those of ordinary skill in the art to which the present invention belongs, detailed description thereof will be omitted.

Since the present invention has proposed a standard configuration of a medical expert system, although it is described as being limited to a medical expert system of urology, it is easy to apply to a medical expert system of other medical subjects. That is, the medical expert system of other medical subjects may also be implemented in the same configuration as the system according to the present invention.

As described above, the present invention can provide high-quality medical care services by providing the client client who treats the patient directly with the closest and professional information on the patient's symptoms, and is responsible for accidents due to misdiagnosis or prescription errors. There is a remarkable effect that can be prevented in advance. In addition, by inferring and providing necessary medical information for general user clients, it is effective to self-diagnose or prevent symptoms of the person or a third party.

In addition, it is possible to calculate more accurate data by integrating and managing the medical record data that has been accumulated and managed by each medical institution in the past, and to provide better quality information by accumulating, integrating and managing medical and medical research results It can provide information that is closest to what the client wants.

In addition, the system according to the present invention can verify the inference result and data integrity of the medical expert system through the clinical medical information network, it is possible to significantly increase the reliability of the inference result.

In addition, the present invention has proposed a standard configuration of the medical professional system, it is easy to transform and apply to other medical subjects medical professional system.

While the preferred embodiments of the present invention have been described using specific terms, such descriptions are for illustrative purposes only, and it is understood that various changes and modifications may be made without departing from the spirit and scope of the following claims. Should be done.

Claims (8)

Urology to receive input data including the external symptoms of the patient, the findings of the client's client according to the initial treatment, and technical terms As an expert system, Receiving the input data to extract a keyword to search the medical record data stored in a predetermined clinical medical database, a plurality of the diagnostic information indicating the expected disease and condition of the patient through the search results and the input data, A decision support server for deriving and transmitting an inference result including the test item for each diagnosis information and the treatment method for each diagnosis information and the probabilities for each diagnosis information and the treatment method; And And a clinical medical database for storing and managing predetermined medical record data which is accumulated and periodically transmitted in a predetermined medical institution for treating the patient. The method of claim 1, The input data, Urology medical expert system, characterized in that the input in the form of natural language sentences. The method of claim 1, The urology medical expert system, A urological medical expert system, which is periodically transmitted from a medical research institute system provided by a predetermined medical research institute, and further includes a medical research result database including research papers, research results, and reports. The method of claim 1, The urology medical expert system, A drug database periodically transmitted from a drug research institute system provided by a given drug research institute, and storing drug data including drug name, ingredient name, applied disease, dosage form, side effects, dose, and interaction for each medicine. Urological medical expert system, characterized in that. The method of claim 4, wherein The decision support server, Receiving a list of medicines prescribed to the patient from the client client, retrieving the medicine data from the medicine database for each of the prescribed medicines, and transmitting the search result to the doctor client Urology Medical Expert System. Urology to receive input data including the external symptoms of the patient, the findings of the client's client according to the initial treatment, and technical terms As an operation method of expert system, A first step of receiving the input data from the doctor client and extracting a keyword from the input data; A second step of extracting the medical record data by searching a predetermined clinical medical database storing medical record data of each patient by using the extracted keyword; A third step of deriving one or more diagnostic information including expected diseases and conditions of the patient based on the input data and the medical record data, and deriving test items and treatments for each of the diagnostic information; A fourth step of calculating a ratio of the probability of each of the diagnostic information through the medical record data, and calculating a ratio of the frequency and accuracy of use of the therapy; And And a fifth step of transmitting the calculated results of the third and fourth steps to the caregiver client. The method of claim 6, Periodically receiving medical record data accumulated in the medical institution from a medical institution system provided by a predetermined medical institution; Modifying and standardizing a format of the received medical record data and classifying each item; And And storing the classified medical record data in the clinical medical database and updating the classified medical record data. The method of claim 6, Receiving a list of medications prescribed for the patient from the provider client; Using the list, extracting drug data for each drug by searching a drug database storing drug data including drug name, ingredient name, applied disease, dosage form, side effects, dose, and side effects for each drug; And And transmitting the extracted medical data to the medical client.