KR20220105471A - Treatment information management system - Google Patents

Treatment information management system Download PDF

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KR20220105471A
KR20220105471A KR1020210008203A KR20210008203A KR20220105471A KR 20220105471 A KR20220105471 A KR 20220105471A KR 1020210008203 A KR1020210008203 A KR 1020210008203A KR 20210008203 A KR20210008203 A KR 20210008203A KR 20220105471 A KR20220105471 A KR 20220105471A
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questionnaire
medical
chart
user terminal
server
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KR102546365B1 (en
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이창엽
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    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H10/00ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/20ICT specially adapted for the handling or processing of patient-related medical or healthcare data for electronic clinical trials or questionnaires
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H10/00ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/60ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/20ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/30ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment

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  • Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
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  • General Health & Medical Sciences (AREA)
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Abstract

The present invention relates to a treatment information management system for improving energy efficiency and operation safety, which comprises: a user terminal loading a survey preset through the execution of an application, receiving responses to each question of the survey, generating a questionnaire, and transmitting the questionnaire to a treatment server; and the treatment server extracting response items of the questionnaire received from the user terminal, matching the extracted response items with medical terms pre-saved in a DB corresponding to the extracted response items to generate a treatment chart, and storing and managing the generated treatment chart for each patient. Accordingly, the present invention is able to generate a treatment chart just by using a questionnaire responded by a patient from a remote place and allow a diagnosis server to provide highly possible diagnoses upon receiving the questionnaire such that a doctor can make a rapid and accurate diagnosis.

Description

진료정보 관리 시스템{Treatment information management system}Treatment information management system {Treatment information management system}

본 발명은 진료정보 관리 시스템에 관한 것으로 더욱 상세하게는, 사용자(환자) 단말기에 설치된 앱을 통해 입력받은 설문내역을 수신한 진료서버가 설문내역 각 항목을 DB에 저장된 의료용어별로 매칭시키고, AI 분석을 수행하여 확률이 보정된 가능성 높은 진단명을 추출하며, 추출된 진단명에 대해 의사의 검수를 거처 생성한 진료차트를 환자별로 관리하는 기술에 관한 것이다.The present invention relates to a medical treatment information management system, and more particularly, a medical treatment server that receives a questionnaire received through an app installed on a user (patient) terminal matches each item of the questionnaire for each medical term stored in the DB, and AI It relates to a technology for performing analysis to extract a high-probability diagnosis name with corrected probability, and to manage the medical treatment chart generated by a doctor after the extracted diagnosis name for each patient.

병의원이나 보건소 등의 각종 의료기관에서는 진료 및 치료와 관련하여 발생되는 전후 업무사항이나 환자의 진료/치료 기록과 같은 관련 의료 정보를 체계적으로 관리/유지하여, 의료행위에 도움이 되도록 하고 있다. Various medical institutions, such as hospitals and public health centers, systematically manage/maintain related medical information, such as before and after work related to treatment and treatment, and patients' treatment/treatment records, to help with medical practice.

이와 같이 의료기관에서는 의사나 간호사 등의 의료인이 환자를 진료하고, 치료하는 과정에서 관련 의료 정보들을 차트에 기록하여 관리하고 있다.As described above, in medical institutions, medical personnel such as doctors and nurses treat patients and record and manage related medical information in charts in the process of treatment.

근래에는 전자 차트 시스템(EMR, Electronic Medical Record)이 도입되어 종이매체에 의해 기록되었던 모든 의료기록과 환자의 진료행위를 중심으로 발생한 업무상의 자료, 진료 및 수술, 검사 기록을 전산에 기반해 입력, 정리 및 보관하고 있다.In recent years, electronic chart system (EMR, Electronic Medical Record) has been introduced, and all medical records recorded by paper media, business data, medical treatment, surgery, and examination records that occurred mainly on the patient's medical treatment are entered based on the computer. Organized and stored.

그러나, 현재 의료기관에서 사용 중인 전자 차트 시스템의 경우, 환자가 의료기관에 내방하여 의사에게 진료받은 이후, 의사가 의료기록을 전산으로 입력하여 진료차트를 생성하고, 이를 의료기관에서 환자별로 저장 및 관리하고 있는바, 환자가 반드시 의료기관에 내방해야만 하는 번거로움이 있다.However, in the case of the electronic chart system currently used in medical institutions, after a patient visits a medical institution and receives treatment from a doctor, the doctor enters the medical record into a computer to create a medical chart, and the medical institution stores and manages it for each patient. However, there is a inconvenience in that the patient must visit a medical institution.

한편, 의료기관에 내방이 어려운 환자의 경우 배포된 문진표에 환자 스스로 증상을 기재한 이후 이를 의료기관에서 수거하게 되는데, 이러한 문진표는 수기로 작성되기 때문에 의료기관에서 전산으로 입력하는 과정이 수반되는 번거로움이 있다.On the other hand, in the case of a patient who is difficult to visit a medical institution, the patient writes his/her symptoms on the questionnaire distributed and collects it at the medical institution. .

또한, 전산으로 입력된 문진표는 의사의 진단과정을 거처 진료차트로 생성되기 때문에 문진표 작성에서부터 진료차트 생성에 이르기까지 많은 시간이 소요되는 문제점이 있다.In addition, since the questionnaire inputted by computer is generated as a medical chart through a doctor's diagnosis process, there is a problem in that it takes a lot of time from preparing the questionnaire to generating the medical chart.

이에 출원인은 사용자 단말기에 설치된 앱을 통해 입력받은 설문내역을 수신한 진료서버가 설문내역 각 항목을 DB에 저장된 의료용어별로 매칭시키고, AI 분석을 수행하여 확률이 보정된 가능성 높은 진단명을 추출하며, 추출된 진단명에 대해 의사의 검수를 거처 진료차트를 생성하도록 하는 진료정보 관리 시스템을 제공하고자 한다.Accordingly, the applicant, the medical treatment server that receives the questionnaire received through the app installed on the user's terminal, matches each item of the questionnaire for each medical term stored in the DB, performs AI analysis to extract a highly probable diagnosis name with corrected probability, An object of the present invention is to provide a medical information management system that generates a medical chart through a doctor's examination of the extracted diagnosis name.

한국등록특허 제10-2028667호(2019.09.27)Korean Patent Registration No. 10-2028667 (2019.09.27)

본 발명의 목적은, 원격지에 위치한 환자 또는 전염병으로 인해 의료기관 방문이 어렵거나 장시간 진료를 대기하는 환자가 사용자 단말기에 설치된 앱을 통해 문진표를 작성하고, 이를 취합한 진료서버가 문진표에 포함된 각 항목을 DB에 저장된 의료용어별로 매칭시켜 진료차트를 생성함으로써, 환자들이 원격지에서 수행한 문진표만으로 진료차트 생성이 가능하게 하는데 있다.It is an object of the present invention, a patient located in a remote place or a patient who has difficulty visiting a medical institution due to an infectious disease or a patient who waits for a long time for treatment creates a questionnaire through an app installed in the user terminal, and a medical treatment server that collects them creates each item included in the questionnaire By matching each medical term stored in the DB to create a medical chart, it is possible to create a medical chart only with the questionnaire performed by patients at a remote location.

본 발명의 목적은, 진료서버가 사용자 단말기로부터 수신한 문진표의 각 항목을 DB에 저장된 의료용어별로 매칭시키고, AI 분석을 수행하여 확률이 보정된 가능성 높은 진단명을 추출하며, 추출된 진단명에 대해 검수절차를 수행하여 진료차트를 생성함으로써, 진단서버가 문진표 수신과 동시에 유력한 진단명을 제공하여 의사의 신속하고 정확한 진단이 가능하게 하는데 있다.An object of the present invention is to match each item of the questionnaire received from the user terminal by the medical treatment server for each medical term stored in the DB, perform AI analysis to extract a highly probable diagnosis name with corrected probability, and inspect the extracted diagnosis name By performing the procedure and generating a medical chart, the diagnosis server provides a strong diagnosis name at the same time as receiving the questionnaire, thereby enabling a quick and accurate diagnosis of the doctor.

이러한 기술적 과제를 달성하기 위한 본 발명의 일 실시예에 따른 진료정보 관리 시스템은, 앱 실행을 통해 기 설정된 설문내역을 로딩하고, 설문내역의 각 항목별 응답을 입력받아 생성한 문진표를 생성하여 진료서버로 전송하는 사용자 단말기; 및 사용자 단말기로부터 수신한 문진표의 응답항목들을 추출하고, 추출한 응답항목과 대응하는 DB에 기 저장된 의료용어와 추출한 응답항목들을 매칭시켜 진료차트를 생성하며, 생성한 진료차트를 환자별로 저장 및 관리하는 진료서버를 포함하는 것을 특징으로 한다.In order to achieve this technical task, the medical information management system according to an embodiment of the present invention loads a preset questionnaire through the execution of an app, and generates a questionnaire generated by receiving responses for each item of the questionnaire history to provide medical treatment a user terminal that transmits to the server; and extracting the response items of the questionnaire received from the user terminal, matching the extracted response items with medical terms stored in the DB corresponding to the extracted response items to create a medical chart, and storing and managing the created medical chart for each patient. It is characterized in that it includes a medical treatment server.

바람직하게는, 사용자 단말기는 설문내역을 로딩하여 화면에 디스플레이하는 로딩부; 설문내역 각각에 대한 응답을 입력받는 입력부; 및 설문내역에 입력된 응답을 취합하고, 설문내역 및 응답에 기 설정된 식별ID를 매칭시켜 문진표를 생성하는 문진부를 포함하는 것을 특징으로 한다.Preferably, the user terminal includes: a loading unit for loading the questionnaire and displaying it on the screen; an input unit for receiving a response to each of the questionnaire details; and a questionnaire that collects responses input to the questionnaire details and generates a questionnaire by matching a preset identification ID to the questionnaire details and responses.

또한, 진료서버는 사용자 단말기로부터 수신한 문진표를 식별ID별로 분류하여 DB에 저장 및 관리하는 수집부; 문진표에 포함된 설문내역 각각에 대한 응답을 추출하여 정렬하고, 정렬된 응답과 대응하는 의료용어를 DB로부터 색인하여 매칭시키는 추출부; 응답과 매칭된 의료용어에 대한 정확도를 계산하여 기 매칭된 의료용어 갱신을 통해 진료차트를 생성하는 검증부를 포함하는 것을 특징으로 한다.In addition, the medical treatment server includes: a collection unit for classifying the questionnaire received from the user terminal by identification ID, storing and managing it in a DB; an extracting unit for extracting and sorting responses to each of the questionnaire details included in the questionnaire, and indexing and matching the sorted responses and corresponding medical terms from the DB; It is characterized in that it comprises a verification unit that calculates the accuracy of the medical term matched with the response and generates a medical chart through the update of the previously matched medical term.

그리고, 진료서버는 의료용어와 대응하는 진단명을 유사도 순으로 정렬하여 진료차트를 갱신하는 진단부를 더 포함하는 것을 특징으로 한다.And, the medical treatment server is characterized in that it further includes a diagnosis unit for updating the medical treatment chart by sorting the medical term and the corresponding diagnosis name in the order of similarity.

상기와 같은 본 발명에 따르면, 원격지에 위치한 환자 또는 전염병으로 인해 의료기관 방문이 어렵거나 장시간 진료를 대기하는 환자가 사용자 단말기에 설치된 앱을 통해 문진표를 작성하고, 이를 취합한 진료서버가 문진표에 포함된 각 항목을 DB에 저장된 의료용어별로 매칭시켜 진료차트를 생성함으로써, 환자가 원격지에서 수행한 문진표만으로 진료차트 생성이 가능한 효과가 있다.According to the present invention as described above, a patient located in a remote place or a patient who has difficulty visiting a medical institution due to an infectious disease or a patient who waits for a long time prepares a questionnaire through the app installed in the user terminal, and a medical treatment server that collects them is included in the questionnaire. By matching each item for each medical term stored in the DB to create a medical chart, it is possible to create a medical chart only with the questionnaire performed by the patient at a remote location.

본 발명에 따르면, 진료서버가 사용자 단말기로부터 수신한 문진표의 각 항목을 DB에 저장된 의료용어별로 매칭시키고, AI 분석을 수행하여 확률이 보정된 가능성 높은 진단명을 추출하며, 추출된 진단명에 대해 검수절차를 수행하여 진료차트를 생성함으로써, 진단서버가 문진표 수신과 동시에 유력한 진단명을 제공하여 의사의 신속하고 정확한 진단이 가능한 효과가 있다.According to the present invention, the medical treatment server matches each item of the questionnaire received from the user terminal for each medical term stored in the DB, performs AI analysis to extract a highly probable diagnosis name with corrected probability, and examines the extracted diagnosis name. By performing the procedure to generate a medical chart, the diagnosis server provides a powerful diagnosis name at the same time as receiving the questionnaire, so that the doctor can quickly and accurately diagnose.

도 1은 본 발명의 일 실시예에 따른 에진료정보 관리 시스템을 도시한 구성도.
도 2는 본 발명의 일 실시예에 따른 진료정보 관리 시스템의 사용자 단말기를 도시한 블록도.
도 3은 본 발명의 일 실시예에 따른 진료정보 관리 시스템의 진료서버를 도시한 블록도.
도 4는 본 발명의 일 실시예에 따른 진료정보 관리 시스템의 문진표에 포함된 설문내역 샘플을 도시한 도면.
도 5는 본 발명의 일 실시예에 따른 진료정보 관리 방법을 도시한 순서도.
도 6은 본 발명의 일 실시예에 따른 진료정보 관리 방법의 제S504단계에 대한 세부과정을 도시한 순서도.
도 7은 본 발명의 일 실시예에 따른 진료정보 관리 방법의 제S508단계에 대한 세부과정을 도시한 순서도.
도 8은 본 발명의 일 실시예에 따른 진료정보 관리 방법의 제S510단계 이후과정을 도시한 순서도.
1 is a block diagram showing a medical information management system according to an embodiment of the present invention.
2 is a block diagram illustrating a user terminal of a medical treatment information management system according to an embodiment of the present invention.
3 is a block diagram illustrating a medical treatment server of a medical treatment information management system according to an embodiment of the present invention.
4 is a view showing a sample of questionnaire details included in the questionnaire of the medical treatment information management system according to an embodiment of the present invention.
5 is a flowchart illustrating a treatment information management method according to an embodiment of the present invention.
6 is a flowchart illustrating a detailed process of step S504 of the method for managing medical information according to an embodiment of the present invention.
7 is a flowchart illustrating a detailed process of step S508 of the method for managing medical information according to an embodiment of the present invention.
8 is a flowchart illustrating a process after step S510 of the treatment information management method according to an embodiment of the present invention.

본 발명의 구체적인 특징 및 이점들은 첨부도면에 의거한 다음의 상세한 설명으로 더욱 명백해질 것이다. 이에 앞서, 본 명세서 및 청구범위에 사용된 용어나 단어는 발명자가 그 자신의 발명을 가장 최선의 방법으로 설명하기 위해 용어의 개념을 적절하게 정의할 수 있다는 원칙에 입각하여 본 발명의 기술적 사상에 부합하는 의미와 개념으로 해석되어야 할 것이다. 또한, 본 발명에 관련된 공지 기능 및 그 구성에 대한 구체적인 설명이 본 발명의 요지를 불필요하게 흐릴 수 있다고 판단되는 경우에는, 그 구체적인 설명을 생략하였음에 유의해야 할 것이다.The specific features and advantages of the present invention will become more apparent from the following detailed description taken in conjunction with the accompanying drawings. Prior to this, the terms or words used in the present specification and claims are based on the principle that the inventor can appropriately define the concept of the term in order to describe his invention in the best way to the technical idea of the present invention. It should be interpreted as a meaning and concept that is consistent with it. In addition, it should be noted that, when it is determined that a detailed description of a known function and its configuration related to the present invention may unnecessarily obscure the gist of the present invention, the detailed description thereof is omitted.

도 1을 참조하면, 본 발명의 일 실시예에 따른 진료정보 관리 시스템(S)은, 앱 실행을 통해 기 설정된 설문내역을 로딩하고, 설문내역의 각 항목별 응답을 입력받아 생성한 문진표를 생성하여 진료서버(200)로 전송하는 사용자 단말기(100), 및 사용자 단말기(100)로부터 수신한 문진표의 응답항목들을 추출하고, 추출한 응답항목과 대응하는 DB에 기 저장된 의료용어와 추출한 응답항목들을 매칭시켜 진료차트를 생성하며, 생성한 진료차트를 환자별로 저장 및 관리하는 진료서버(200)를 포함하여 구성된다.Referring to FIG. 1 , the medical information management system S according to an embodiment of the present invention loads a preset questionnaire through the execution of an app, and generates a questionnaire generated by receiving responses for each item of the questionnaire details. and extracts response items of the questionnaire received from the user terminal 100 and the user terminal 100, which are transmitted to the medical treatment server 200, and matches the extracted response items with medical terms pre-stored in the DB corresponding to the extracted response items. and a medical treatment server 200 for storing and managing the created medical treatment chart for each patient.

이하에서는 그 구체적인 언급을 생략하겠으나, 사용자 단말기(100)는 환자 본인 또는 보호자의 설정과 대응하는 예약일마다 활성화될 수 있으며, 앱 설치가 가능하고 정보통신망을 통해 진료서버(200)와의 접속이 가능한 PC, 노트북, 스마트폰 또는 태블릿 중에 어느 하나의 기기로 이해함이 바람직하다.Hereinafter, a detailed description thereof will be omitted, but the user terminal 100 may be activated for each reservation date corresponding to the setting of the patient or guardian, install the app, and connect to the medical treatment server 200 through the information and communication network. , it is preferable to understand as any one of the devices of a laptop, a smartphone or a tablet.

구체적으로, 도 2를 참조하면 사용자 단말기(100)의 로딩부(110)는 설문내역을 로딩하여 화면에 디스플레이하되, 앱 설치와 동시에 내부 저장소에 저장된 파일을 색인하여 화면에 디스플레이 하거나, 앱 실행시 접속된 진료서버(200)로부터 다운로드되어 화면에 디스플레이 하도록 구동될 수 있다.Specifically, referring to FIG. 2 , the loading unit 110 of the user terminal 100 loads and displays the questionnaire details on the screen, but at the same time as installing the app, indexing the file stored in the internal storage and displaying it on the screen, or when the app is running It may be downloaded from the connected medical treatment server 200 and driven to be displayed on the screen.

또한, 사용자 단말기(100)는 입력부(120)는 로딩부(110)에 의해 설문내역이 화면에 활성화된 이후, 환자 또는 보호자로부터 설문내역 각각에 대한 응답을 입력받는다. 이때, 설문내역은 증상, 질병 분류, 가족력, 과거력, 복용중인 약, 성별 또는 생활습관 중에 어느 하나의 카테고리를 포함할 수 있고, 응답은 키입력 또는 화면 터치를 통해 입력받되, 객관식 체크 또는 다수의 키입력에 의한 서술형 문장을 입력을 포함할 수 있다.In addition, in the user terminal 100 , the input unit 120 receives responses to each of the questionnaire details from the patient or guardian after the questionnaire details are activated on the screen by the loading unit 110 . At this time, the questionnaire details may include any one category among symptoms, disease classification, family history, past history, medications being taken, gender, or lifestyle, and the response is received through key input or screen touch, multiple-choice check or multiple It may include an input of a descriptive sentence by a key input.

그리고, 사용자 단말기(100)의 문진부(130)는 설문내역에 입력된 응답을 취합하고, 설문내역 및 응답에 기 설정된 식별ID를 매칭시켜 생성한 문진표를 진료서버(200)로 업로드한다.Then, the questionnaire 130 of the user terminal 100 collects the responses inputted in the questionnaire, and uploads the questionnaire generated by matching a preset identification ID to the questionnaire details and the responses to the medical treatment server 200 .

이때, 문진표에는 설문내역에 대한 응답과 기 설정된 식별ID 외에 사용자 단말기 식별번호가 포함되고, 그밖에 연락처, 이름, 성별 또는 연령 중에 어느 하나의 환자정보가 포함될 수 있다.In this case, the questionnaire may include the user terminal identification number in addition to the response to the questionnaire and the preset identification ID, and may include any one patient information among contact information, name, gender, or age.

아울러, 문진부(130)는 접속된 진료서버(200)에 기 업로드된 문진표에 대한 조회 기능을 제공하며, 조회한 문진표 편집 기능을 활용하여 설문내역별 응답에 소요되는 시간을 현저히 단축시킬 수 있다.In addition, the questionnaire unit 130 provides a query function for the questionnaire that has been uploaded to the medical treatment server 200 connected to it, and it can significantly reduce the time required for answering each questionnaire by using the searched questionnaire editing function. .

도 3을 참조하면 진료서버(200)의 수집부(210)는 사용자 단말기(100)들로부터 수신한 문진표를 식별ID별로 분류하여 DB에 저장 및 관리한다.Referring to FIG. 3 , the collection unit 210 of the medical treatment server 200 classifies the questionnaire received from the user terminals 100 by identification ID, and stores and manages it in the DB.

또한, 진료서버(200)의 추출부(220)는 문진표에 포함된 설문내역 각각에 대한 응답을 추출하여 정렬하고, 정렬된 응답과 대응하는 의료용어를 DB로부터 색인하여 매칭시킨다.In addition, the extraction unit 220 of the medical treatment server 200 extracts and sorts responses to each of the questionnaire details included in the questionnaire, and indexes the sorted responses and corresponding medical terms from the DB to match them.

또한, 진료서버(200)의 검증부(230)는 딥러닝을 통해 기 학습된 유사도 값을 토대로 응답과 매칭된 의료용어에 대한 정확도를 계산하고, 계산된 정확도에 따라 각 응답에 대해 매칭된 의료용어를 갱신하여 진료차트를 생성한다.In addition, the verification unit 230 of the medical treatment server 200 calculates the accuracy of the medical term matched with the response based on the similarity value previously learned through deep learning, and the medical treatment matched for each response according to the calculated accuracy. Create a medical chart by updating terms.

또한, 진료서버(200)의 진단부(240)는 검증부(230)로부터 인가받은 진료차트를 화면에 디스플레이하되, 딥러닝 학습을 통해 기 학습된 유사도 값에 따라 각 의료용어별로 확률이 보정된 진단명을 색인하고, 의료용어와 대응하는 진단명을 유사도 순으로 1순위 내지 n순위로 정렬하여 입력받은 진단 값에 따라 진료차트를 갱신한다.In addition, the diagnosis unit 240 of the medical treatment server 200 displays the medical treatment chart approved by the verification unit 230 on the screen, and the probability is corrected for each medical term according to the similarity value previously learned through deep learning learning. Diagnosis names are indexed, medical terms and corresponding diagnosis names are sorted in the order of similarity in the first to n ranks, and the medical chart is updated according to the received diagnosis value.

이처럼, 본 발명의 일 실시예에 따른 검증부(230)는 딥러닝 학습에 따른 유사도 값에 따라 각 응답별로 확률이 보정된 의료용어를 갱신시키고, 진단부(240)는 각 의료용어별로 확률이 보정된 진단명을 제공하는바, 의사가 진료차트를 확인을 통해 진단을 내리는데 까지 소요되는 시간을 현저히 단축시키게 된다.As such, the verification unit 230 according to an embodiment of the present invention updates the medical terms whose probability is corrected for each response according to the similarity value according to deep learning learning, and the diagnosis unit 240 determines the probability for each medical term. By providing a corrected diagnosis name, the time required for a doctor to make a diagnosis by checking the medical chart is significantly reduced.

아울러 본 발명의 일 실시예에 따른 진료정보 관리 시스템(S)의 진료서버(200)는 진단부(240)가 생성한 진료차트를 사용자 단말기(100)와 연계된 제3 기관으로 전송하는 공유부(250)를 더 포함하여 구성된다.In addition, the medical treatment server 200 of the medical treatment information management system S according to an embodiment of the present invention is a sharing unit that transmits the medical treatment chart generated by the diagnosis unit 240 to a third institution linked to the user terminal 100 . (250) is configured to further include.

이러한 공유부(250)는 사용자 단말기(100)로부터 자신의 진료차트를 의료기관, 건강보험공단, 질병관리본부 또는 보험사 서버 중에 어느 하나의 제3 기관으로의 전송을 요청하는 정보공유 요청정보를 수신하는 경우, DB로부터 사용자 단말기의 식별ID와 대응하는 진료차트를 색인하고, 색인한 진료차트를 제3 기관으로 전송하도록 구성된다.The sharing unit 250 receives information sharing request information requesting transmission of its own medical chart from the user terminal 100 to any one third institution among a medical institution, the Health Insurance Corporation, the Korea Centers for Disease Control and Prevention, or an insurance company server. In this case, it is configured to index the treatment chart corresponding to the identification ID of the user terminal from the DB, and transmit the indexed treatment chart to a third institution.

따라서, 진료서버(200)의 공유부(250)가 제공하는 기능에 의하면 환자가 진료기관에 내방하지 않고도 앱을 통해 자신의 진료차트를 제3 기관으로 전송할 수 있고, 이에 따라 환자의 질환이 진료차트를 생성한 의료기관에서 치료하지 못하는 경우이거나 보험금을 청구하는데 용이하며, 질병관리본부 또는 건강보험공단에서 환자의 질환에 대한 통계자료를 정책에 활용할 수 있다.Accordingly, according to the function provided by the sharing unit 250 of the medical treatment server 200, the patient can transmit his/her medical chart to a third institution through the app without visiting the medical institution, and thus the patient's disease is treated. It is easy to make a claim for insurance if the medical institution that created the chart cannot treat it, and the Korea Centers for Disease Control and Prevention or the National Health Insurance Corporation can use statistical data on the patient's disease for policy.

한편, 도 4는 본 발명의 일 실시예에 따른 진료정보 관리 시스템(S)의 문진표에 포함된 설문내역 샘플을 도시한 도면이다.Meanwhile, FIG. 4 is a diagram illustrating a sample of questionnaire details included in the questionnaire of the medical treatment information management system (S) according to an embodiment of the present invention.

도 4에 도시된 샘플은 문진표 생성을 위한 설문내역의 일 예를 나타낸 것으로, 사용자 단말기(100) 각각의 화면 해상도에 따라 변경될 수 있고, 각 카테고리별로 다수의 페이지에 분할된 형태로 화면에 디스플레이될 수 있다.The sample shown in FIG. 4 shows an example of a questionnaire for generating a questionnaire, which can be changed according to each screen resolution of the user terminal 100, and is displayed on the screen in a divided form into a plurality of pages for each category. can be

이하, 도 5를 참조하여 본 발명의 일 실시예에 따른 진료정보 관리 방법에 대해 살피면 아래와 같다.Hereinafter, a treatment information management method according to an embodiment of the present invention will be described with reference to FIG. 5 .

먼저, 사용자 단말기(100)가 앱 실행을 통해 기 설정된 설문내역을 로딩한다(S502).First, the user terminal 100 loads a preset questionnaire through the execution of the app (S502).

이어서, 사용자 단말기(100)가 설문내역의 각 항목별 응답을 입력받아 문진표를 생성한다(S504).Next, the user terminal 100 receives the responses for each item in the questionnaire and generates a questionnaire (S504).

뒤이어, 진료서버(200)가 용자 단말기(100)로부터 수신한 문진표의 응답항목들을 추출한다(S506).Subsequently, the medical treatment server 200 extracts the response items of the questionnaire received from the user terminal 100 (S506).

이어서, 진료서버(200)가 추출한 응답항목과 대응하도록 DB에 기 저장된 의료용어와 추출한 응답항목들을 매칭시켜 진료차트를 생성한다(S508).Then, the medical treatment server 200 matches the extracted response items with the medical terms pre-stored in the DB so as to correspond to the extracted response items to generate a medical treatment chart (S508).

그리고, 진료서버(200)가 생성한 진료차트를 환자별로 저장 및 관리한다(S510).Then, the treatment chart generated by the treatment server 200 is stored and managed for each patient (S510).

이하, 도 6을 참조하여 본 발명의 일 실시예에 따른 진료정보 관리 방법의 제S504단계에 대한 세부과정을 살피면 아래와 같다.Hereinafter, the detailed process of step S504 of the method for managing medical information according to an embodiment of the present invention will be described with reference to FIG. 6 .

제S502단계 이후, 사용자 단말기(100)가 설문내역에 입력된 응답을 취합한다(S602).After step S502, the user terminal 100 collects the responses input in the questionnaire details (S602).

이어서, 사용자 단말기(100)가 설문내역 및 응답에 기 설정된 식별ID를 매칭시켜 생성한 문진표를 생성한다(S604).Next, the user terminal 100 generates a questionnaire generated by matching a preset identification ID with the questionnaire details and responses (S604).

그리고, 사용자 단말기(100)가 생성한 문진표를 진료서버(200)로 전송한다(S606).Then, the questionnaire generated by the user terminal 100 is transmitted to the medical treatment server 200 (S606).

이하, 도 7을 참조하여 본 발명의 일 실시예에 따른 진료정보 관리 방법의 제S508단계에 대한 세부과정을 살피면 아래와 같다.Hereinafter, the detailed process of step S508 of the method for managing medical information according to an embodiment of the present invention will be described with reference to FIG. 7 .

제S506단계 이후, 진료서버(200)가 추출된 응답과 대응하는 의료용어를 DB로부터 색인하여 매칭시킨다(S702).After step S506, the medical treatment server 200 indexes the extracted response and the corresponding medical term from the DB and matches it (S702).

이어서, 진료서버(200)가 기 학습된 유사도 값을 토대로 응답과 매칭된 의료용어에 대한 정확도를 계산한다(S704).Next, the medical treatment server 200 calculates the accuracy of the medical term matched with the response based on the previously learned similarity value (S704).

그리고, 진료서버(200)가 계산된 정확도에 따라 각 응답에 대해 매칭된 의료용어를 갱신하여 진료차트를 생성한다(S706).Then, the medical treatment server 200 updates the matched medical term for each response according to the calculated accuracy to generate a medical treatment chart (S706).

이하, 도 8을 참조하여 본 발명의 일 실시예에 따른 진료정보 관리 방법의 제S510단계 이후과정을 살피면 아래와 같다.Hereinafter, a process after step S510 of the method for managing medical information according to an embodiment of the present invention will be described with reference to FIG. 8 .

제S510단계 이후, 진료서버(200)가 기 학습된 유사도 값에 따라 각 의료용어별로 확률이 보정된 진단명을 색인한다(S802).After step S510, the medical treatment server 200 indexes a diagnosis name whose probability is corrected for each medical term according to the previously learned similarity value (S802).

이어서, 진료서버(200)가 의료용어와 대응하는 진단명을 유사도 순으로 1순위 내지 n순위로 정렬한다(S804).Then, the medical treatment server 200 sorts the medical term and the corresponding diagnosis name in the order of the degree of similarity in the order of 1st to nth order (S804).

그리고, 진료서버(200)가 의사로부터 입력받은 진단 값에 부합하도록 진료차트를 갱신한다(S806).Then, the medical treatment server 200 updates the medical treatment chart to match the diagnosis value input by the doctor (S806).

이처럼, 전술한 바와 같은 본 발명의 일 실시예에 의하면, 환자가 원격지에서 수행한 문진표만으로 진료차트 생성이 가능하고, 진단서버가 문진표 수신과 동시에 유력한 진단명을 제공하여 의사의 신속하고 정확한 진단이 가능하다.As described above, according to the embodiment of the present invention as described above, it is possible to create a medical chart only with the questionnaire performed by the patient at a remote location, and the diagnosis server provides a powerful diagnosis name at the same time as receiving the questionnaire, so that the doctor can quickly and accurately diagnose. do.

이상으로 본 발명의 기술적 사상을 예시하기 위한 바람직한 실시예와 관련하여 설명하고 도시하였지만, 본 발명은 이와 같이 도시되고 설명된 그대로의 구성 및 작용에만 국한되는 것이 아니며, 기술적 사상의 범주를 일탈함이 없이 본 발명에 대해 다수의 변경 및 수정이 가능함을 당업자들은 잘 이해할 수 있을 것이다. 따라서 그러한 모든 적절한 변경 및 수정과 균등 물들도 본 발명의 범위에 속하는 것으로 간주되어야 할 것이다.Although described and illustrated in relation to a preferred embodiment for illustrating the technical idea of the present invention above, the present invention is not limited to the configuration and operation as shown and described as such, and deviates from the scope of the technical idea. It will be apparent to those skilled in the art that many changes and modifications may be made to the present invention without reference to the invention. Accordingly, all such suitable alterations and modifications and equivalents are to be considered as being within the scope of the present invention.

S: 진료정보 관리 시스템
100: 사용자 단말기
110: 로딩부
120: 입력부
130: 문진부
200: 진료서버
210: 수집부
220: 추출부
230: 검증부
240: 진단부
250: 공유부
S: Medical information management system
100: user terminal
110: loading unit
120: input unit
130: paperweight department
200: medical treatment server
210: collection unit
220: extraction unit
230: verification unit
240: diagnostic unit
250: share

Claims (4)

앱 실행을 통해 기 설정된 설문내역을 로딩하고, 설문내역의 각 항목별 응답을 입력받아 생성한 문진표를 생성하여 진료서버로 전송하는 사용자 단말기; 및
상기 사용자 단말기로부터 수신한 문진표의 응답항목들을 추출하고, 추출한 응답항목과 대응하는 DB에 기 저장된 의료용어와 추출한 응답항목들을 매칭시켜 진료차트를 생성하며, 생성한 진료차트를 환자별로 저장 및 관리하는 진료서버를 포함하는 것을 특징으로 하는 진료정보 관리 시스템.
a user terminal for loading a preset questionnaire through the execution of the app, generating a questionnaire generated by receiving responses for each item of the questionnaire, and transmitting the generated questionnaire to the medical treatment server; and
Extracting the response items of the questionnaire received from the user terminal, matching the extracted response items with the extracted response items with medical terms pre-stored in the DB to create a medical chart, and storing and managing the created medical chart for each patient Medical treatment information management system comprising a medical treatment server.
제1항에 있어서,
상기 사용자 단말기는,
상기 설문내역을 로딩하여 화면에 디스플레이하는 로딩부;
상기 설문내역 각각에 대한 응답을 입력받는 입력부; 및
상기 설문내역에 입력된 응답을 취합하고, 설문내역 및 응답에 기 설정된 식별ID를 매칭시켜 문진표를 생성하는 문진부를 포함하는 것을 특징으로 하는 진료정보 관리 시스템.
According to claim 1,
The user terminal,
a loading unit for loading the questionnaire details and displaying them on a screen;
an input unit for receiving a response to each of the questionnaire details; and
and a questionnaire for generating a questionnaire by collecting responses inputted in the questionnaire details, and matching a preset identification ID to the questionnaire details and responses.
제1항에 있어서,
상기 진료서버는,
상기 사용자 단말기로부터 수신한 문진표를 식별ID별로 분류하여 DB에 저장 및 관리하는 수집부;
상기 문진표에 포함된 설문내역 각각에 대한 응답을 추출하여 정렬하고, 정렬된 응답과 대응하는 의료용어를 DB로부터 색인하여 매칭시키는 추출부; 및
상기 응답과 매칭된 의료용어에 대한 정확도를 계산하여 기 매칭된 의료용어 갱신을 통해 진료차트를 생성하는 검증부를 포함하는 것을 특징으로 하는 진료정보 관리 시스템.
According to claim 1,
The medical server is
a collecting unit for classifying the questionnaire received from the user terminal by identification ID, storing and managing it in a DB;
an extracting unit for extracting and sorting responses to each of the questionnaire details included in the questionnaire, and indexing and matching the sorted responses and corresponding medical terms from the DB; and
and a verification unit that calculates the accuracy of the medical term matched with the response and generates a medical treatment chart by updating the previously matched medical term.
제1항에 있어서,
상기 진료서버는,
상기 의료용어와 대응하는 진단명을 유사도 순으로 정렬하여 상기 진료차트를 갱신하는 진단부를 더 포함하는 것을 특징으로 하는 진료정보 관리 시스템.
According to claim 1,
The medical server is
and a diagnosis unit for updating the medical treatment chart by arranging diagnosis names corresponding to the medical terms in the order of similarity.
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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR102028667B1 (en) 2018-09-05 2019-10-04 주식회사 케어랩스 A method, server and program for providing medical information
KR102028674B1 (en) * 2018-09-05 2019-11-05 주식회사 케어랩스 A method, server and program for reserving medical treatment with terminal
KR102088980B1 (en) * 2019-04-19 2020-03-13 이정의 System and Method for Providing personalized hospital information
KR20200106696A (en) * 2019-03-05 2020-09-15 (주)비바이노베이션 Apparatus of providing disease prediction information through bid data analysis and artificial intelligence

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR102028667B1 (en) 2018-09-05 2019-10-04 주식회사 케어랩스 A method, server and program for providing medical information
KR102028674B1 (en) * 2018-09-05 2019-11-05 주식회사 케어랩스 A method, server and program for reserving medical treatment with terminal
KR20200106696A (en) * 2019-03-05 2020-09-15 (주)비바이노베이션 Apparatus of providing disease prediction information through bid data analysis and artificial intelligence
KR102088980B1 (en) * 2019-04-19 2020-03-13 이정의 System and Method for Providing personalized hospital information

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