WO2017152638A1 - Système et procédé d'analyse et de traitement de mégadonnées médicales basés sur une consultation de page web - Google Patents

Système et procédé d'analyse et de traitement de mégadonnées médicales basés sur une consultation de page web Download PDF

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Publication number
WO2017152638A1
WO2017152638A1 PCT/CN2016/104131 CN2016104131W WO2017152638A1 WO 2017152638 A1 WO2017152638 A1 WO 2017152638A1 CN 2016104131 W CN2016104131 W CN 2016104131W WO 2017152638 A1 WO2017152638 A1 WO 2017152638A1
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WIPO (PCT)
Prior art keywords
medical
patient
webpage
disease
data
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PCT/CN2016/104131
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English (en)
Chinese (zh)
Inventor
张贯京
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深圳市前海安测信息技术有限公司
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Publication of WO2017152638A1 publication Critical patent/WO2017152638A1/fr

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    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16Z—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS, NOT OTHERWISE PROVIDED FOR
    • G16Z99/00—Subject matter not provided for in other main groups of this subclass
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/958—Organisation or management of web site content, e.g. publishing, maintaining pages or automatic linking
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients

Definitions

  • the present invention relates to the field of medical big data, and in particular, to a medical big data analysis and processing system and method based on web browsing.
  • Big data technology can accelerate medical conjecture and discover the transformation of medical practice: With the growing private and public medical data, big data technology helps people store and manage medical big data and from large volume, high complexity The value of the data will be extracted, and related medical technologies and products will continue to emerge, which will likely open up a new golden generation for the medical industry.
  • the current medical data analysis system analyzes and processes the medical big data, and does not consider the factors of the user browsing the webpage, and does not analyze and process the medical big data based on the webpage browsing.
  • the patient is not exposed to a potential risk of illness.
  • the main object of the present invention is to provide a medical big data analysis and processing system and method based on web browsing, which aims to solve the technical problem that no analysis and processing based on web pages are performed in the process of medical big data processing.
  • the present invention provides a medical big data analysis and processing system based on web browsing, running in a data center, the data center through a network and a hospital information system, a client and a telecommunications The operator connects, the medical big data analysis and processing system includes:
  • an obtaining module configured to acquire medical data from the hospital information system, where the medical data includes a first disease set of the patient;
  • a search module configured to search for the contact information of the patient from the medical data
  • the obtaining module is further configured to acquire, from the telecommunications carrier, a medical webpage browsed by the patient according to the contact manner of the patient;
  • an analysis module configured to analyze the medical webpage, and obtain a second disease set that the patient browses the medical webpage;
  • a comparison module configured to compare the second disease set with the first disease set, and obtain a third disease set of the patient suffering from a potential disease according to the comparison result;
  • the obtaining module is configured to: when the number of browsing of the medical webpage corresponding to the third disease set exceeds a browsing preset value, obtain, from the hospital information system, a doctor's contact related to the third disease set And informing the doctor to formulate a prevention plan for preventing a corresponding disease in the third disease collection according to the doctor's contact information; and
  • a sending module configured to send the prevention program to a client held by the patient to remind the patient to prevent potential diseases.
  • the medical data further includes a patient name, a patient's age, a diseased condition, a disease cause, a disease diagnosis information, a drug name, a drug quantity, a doctor name, a doctor's office, and a fee.
  • the acquiring module is specifically configured to:
  • access data obtained from the telecommunications carrier according to the contact information of the patient, the access data including an access website address and a user name;
  • the access URL includes a field of a preset medical website
  • the web page linked by the visiting website is a medical webpage
  • the analysis module is specifically configured to: [0022] converting the medical webpage into a document format;
  • the medical webpage includes a preset medical keyword
  • the preset medical keyword included in the medical webpage belongs to the second disease set that the patient pays attention to.
  • the third disease set refers to a second disease subset remaining in the second disease set of the patient's attention except that the first disease set in the medical data overlaps.
  • the present invention further provides a medical big data analysis and processing method based on webpage browsing, which is applied to a data center, and the data center is connected to a hospital information system, a client, and a telecommunication operator through a network
  • Methods include:
  • the medical data including a first disease set of the patient
  • the medical data further includes a patient name, a patient's age, a diseased condition, a disease cause, a disease diagnosis information, a drug name, a drug quantity, a doctor name, a doctor's office, and a fee.
  • the step of obtaining the medical webpage browsed by the patient from the telecommunications carrier according to the contact manner of the patient comprises the following steps:
  • access data from the telecommunications carrier according to the contact manner of the patient, where the access data includes an access website address and a user name;
  • the access URL includes a field of a preset medical website
  • the web page linked by the visiting website is a medical webpage
  • the step of obtaining the second disease set that the patient browses the medical webpage includes the following steps:
  • the medical webpage includes a preset medical keyword
  • the preset medical keyword included in the medical webpage belongs to the second disease collection that the patient pays attention to.
  • the third disease set refers to a second disease subset remaining in the second disease set of the patient's attention except that the first disease set overlaps with the medical data.
  • the present invention adopts the above technical solution, and brings the technical effects as follows:
  • the webpage browsing-based medical big data analysis and processing system and method of the present invention combines the patient's behavior with the webpage of the patient's browsing webpage.
  • Data analysis can understand the risk of a patient's underlying disease and develop a preventive program that reduces the risk of a patient's potential disease and indirectly improves the patient's health.
  • FIG. 1 is a schematic diagram of an application environment of a medical big data analysis and processing system based on webpage browsing according to the present invention
  • FIG. 2 is a functional module of a preferred embodiment of a medical big data analysis and processing system based on webpage browsing of the present invention
  • FIG. 3 is a flow chart of a preferred embodiment of a method for analyzing and processing medical macro data based on web browsing according to the present invention.
  • FIG. 1 is a schematic diagram of an application environment of a medical big data analysis and processing system based on web browsing according to the present invention.
  • the web page based medical big data analysis and processing system 20 of the present invention operates in the data center 2.
  • the data center 2 is communicatively coupled to one or more hospital information systems 1 (illustrated by three in FIG. 1) via the network 3 to acquire a plurality of medical data from the hospital information system 1.
  • the medical data includes, but is not limited to, a patient's name, a patient's annual sputum, a diseased sputum, a first disease set (ie, a collection of the patient's disease name), a disease cause, a disease diagnosis information, a drug name, a drug quantity, Information such as the doctor's name, the department, the cost, and the patient's contact information (for example, email address, mobile number, and instant messaging account number).
  • the network 3 may be a wired communication network or a wireless communication network.
  • the network 3 is preferably a wireless communication network including, but not limited to, a GSM network, a GPRS network, a CDMA network, a TD-SCDMA network, a WiMAX network, a TD-LTE network, an FDD-LTE network, and the like.
  • the data center 2 is communicatively connected to the one or more clients 4 (illustrated by three in FIG. 1) through the network 3, and transmits the medical data corresponding to the patient to the patient.
  • the data center 2 may further analyze and process the medical data, and pass the analyzed medical data (for example, medical data associated with the medical webpage browsed by the patient from the medical website).
  • the network 3 is sent to the client 4 corresponding to the patient. It should be noted that the client 4 is held by a patient, and the patient can obtain the medical data through the client 4.
  • the data center 2 is communicatively connected to the telecommunication operator 5 via the network 3 for obtaining a medical web page browsed by the patient from the telecommunication operator 5.
  • the telecommunication operator 5 is configured to provide a communication service for a fixed telephone, a mobile phone, and an Internet access, and the patient uses a communication service provided by a telecommunication operator for Internet access, and the telecommunication operator 5 knows the patient.
  • Access data accessed by the Internet, the access data includes data such as access time, access URL, user name, and the like.
  • the telecommunications carrier 5 provides an API
  • the device or the system accessing the API interface can obtain the access data of the patient accessing the Internet from the telecommunication operator 5.
  • the data center 2 acquires the access data on the basis of the authorization of the telecommunication operator 5 (ie, authorizes access to the API interface provided by the telecommunication operator 5), and parses the access data to obtain a patient.
  • Browse the medical webpage ie, authorizes access to the API interface provided by the
  • the data center 2 is a server of a cloud platform or a data center, and can better manage and/or assist with the data transmission capability and data storage capability of the cloud platform or the data center.
  • the data center 2 is connected to the client 4, which helps the patient to understand his or her medical data.
  • the client 4 may be, but is not limited to, any other suitable portable electronic device such as a smart phone, a tablet computer, a personal digital assistant (PDA), a personal computer, an electronic signboard, and the like.
  • a smart phone such as a smart phone, a tablet computer, a personal digital assistant (PDA), a personal computer, an electronic signboard, and the like.
  • PDA personal digital assistant
  • FIG. 2 it is a functional block diagram of a preferred embodiment of the medical big data analysis and processing system based on the web page browsing of the present invention.
  • the web page-based medical big data analysis and processing system 20 is applied to the data center 2.
  • the data center 2 includes, but is not limited to, a web page based medical big data analysis and processing system 20, a storage unit 22, a processing unit 24, and a communication unit 26.
  • the storage unit 22 may be a read only storage unit ROM, an electrically erasable storage unit EEPRO
  • flash memory unit FLASH or solid hard disk FLASH or solid hard disk.
  • the processing unit 24 may be a central processing unit (CPU), a microcontroller (MCU), a data processing chip, or an information processing unit having a data processing function.
  • CPU central processing unit
  • MCU microcontroller
  • data processing chip or an information processing unit having a data processing function.
  • the communication unit 26 is a wireless communication interface with remote wireless communication function, for example, support
  • GSM Global System for Mobile communications
  • GPRS Wireless Fidelity
  • WCDMA Wideband Code Division Multiple Access
  • CDMA Code Division Multiple Access
  • TD-SCDMA Wideband Code Division Multiple Access
  • WiMAX TD-LTE
  • FDD-LT Frequency Division Multiple Access
  • the webpage-based medical big data analysis and processing system 20 includes, but is not limited to, an acquisition module 200, a search module 210, an analysis module 220, a comparison module 230, a determination module 240, and a generation module 24
  • the module referred to in the present invention refers to a processing unit that can be used by the data center 2
  • a series of computer program instructions that execute and are capable of performing a fixed function which are stored in the storage unit 22 of the data center 2.
  • the obtaining module 200 is configured to acquire medical data from the hospital information system 1, the medical data including a patient The first disease collection.
  • the hospital information system 1 provides a data import interface (eg, an application program interface, an API), and a device or system that accesses the data import interface can be from the hospital information system.
  • a data import interface eg, an application program interface, an API
  • the obtaining module 200 invokes an API interface provided by the hospital information system 1 to obtain medical data.
  • the medical data belongs to private information
  • the medical data is sent to the data center 2, and the encryption and decryption algorithm is adopted (for example, the MD5 encryption and decryption algorithm and the RSA encryption and decryption algorithm).
  • DES encryption and decryption algorithm for example, the MD5 encryption and decryption algorithm and the RSA encryption and decryption algorithm.
  • DSA encryption and decryption algorithm for example, the MD5 encryption and decryption algorithm and the RSA encryption and decryption algorithm
  • AES encryption and decryption algorithm etc.
  • the search module 210 is configured to search for the contact information of the patient from the medical data. Specifically, the search module 210 searches for the contact information of the patient in the medical data by means of keyword search. For example, using "telephone” or “mailbox” or “immediate communication” as a key, retrieve the contact information of the patient in the medical data.
  • the obtaining module 200 is configured to obtain the medical webpage browsed by the patient from the telecommunications carrier 5 according to the contact manner of the patient.
  • the step of obtaining the medical webpage browsed by the patient from the telecommunications carrier 5 according to the contact manner of the patient includes the following steps:
  • the access data stored in the telecommunication carrier 5 is associated with a contact mode.
  • the user A accesses the Internet through a mobile phone, and the Internet access service provided by the telecommunication carrier 5 is associated with the contact mode of the user A (eg, a mobile phone number). Through the mobile phone number of the user A, the access data of the user A can be queried at the telecommunication carrier 5.
  • the access URL includes a field of a preset medical website, for example, if the field of the preset medical website is 39.net, an access URL is http://jbk.39.net/xc /yfl l/, then the access URL package a field with a preset medical URL;
  • the access URL includes a field of a preset medical website
  • the web page linked by the access website is a medical webpage
  • the analysis module 220 is configured to analyze the medical webpage to obtain a second disease set (ie, a collection of disease names that the patient pays attention to from the medical webpage) that the patient browses the medical webpage.
  • a second disease set ie, a collection of disease names that the patient pays attention to from the medical webpage
  • the step of obtaining the second disease set that the patient browses the medical webpage includes the following steps: [0077] (1) converting the medical webpage into a document format, for example, converting into an XML document format;
  • the preset medical keyword included in the medical webpage belongs to the second disease collection that the patient pays attention to.
  • the comparison module 230 is further configured to compare the second disease set with a first disease set in the medical data, and obtain a third disease set of the patient suffering from a potential disease according to the comparison result.
  • the third set of diseases refers to a second subset of diseases in the second set of diseases of interest to the patient that are removed from overlapping with the first set of diseases in the medical data.
  • the determining module 240 is configured to determine whether the number of browsing of the medical webpage corresponding to the third disease set exceeds a browsing preset value (for example, the browsing preset value is five times).
  • the obtaining module 200 is configured to acquire, from the hospital information system 1, a contact information of a doctor related to the third disease set when the number of times of browsing of the medical webpage corresponding to the third disease set exceeds a preset value of browsing And informing the doctor according to the contact information of the doctor to formulate a prevention plan for preventing the corresponding disease in the third disease set.
  • the prevention scheme can be sent to the client 4 in text, voice and/or audio and video.
  • the prevention scheme is as follows: "Respected M, according to the medical webpage you visited in the last week, you have searched the asthma-related medical webpage thirty times, we are based on your medical treatment.
  • asthma prevention programs please refer to: (1) to avoid crowds; (2) go out, please carry N95 model mask; (3) keep warm, In particular, ensure that the head, chest and back are warm to avoid cold; (4) Check the symptoms of asthma with physical examination; ( 5 ) Different types of asthma: If the following symptoms are met, for example, Symptom 1: XXX, Symptom 2: YYY, Symptom 3: Hey, please go to the hospital for detailed examination, or you can contact Dr. Zhang directly, the contact method is 0755- ⁇ . Finally, I wish you good health! . "
  • the sending module 250 is configured to send the prevention program to the client 4 held by the patient to remind the patient to pay attention to prevent potential diseases.
  • FIG. 3 it is a flowchart of a preferred embodiment of the medical big data analysis and processing method based on web browsing of the present invention.
  • the web page-based medical big data analysis and processing method is applied to the data center 2, and the method includes the following steps:
  • Step S10 The obtaining module 200 acquires medical data from the hospital information system 1, and the medical data includes a first disease set of the patient.
  • the hospital information system 1 provides a data import interface (eg, an application program interface, an API), and a device or system that accesses the data import interface can be from the hospital information system.
  • a data import interface eg, an application program interface, an API
  • the obtaining module 200 invokes an API interface provided by the hospital information system 1 to obtain medical data.
  • the medical data belongs to private information
  • the medical data is sent to the data center 2, and the encryption and decryption algorithm is adopted (for example, the MD5 encryption and decryption algorithm and the RSA encryption and decryption algorithm).
  • DES encryption and decryption algorithm for example, the MD5 encryption and decryption algorithm and the RSA encryption and decryption algorithm.
  • DSA encryption and decryption algorithm for example, the MD5 encryption and decryption algorithm and the RSA encryption and decryption algorithm
  • AES encryption and decryption algorithm etc.
  • Step S11 The search module 210 searches for the contact information of the patient from the medical data. Specifically,
  • the search module 210 searches for the contact information of the patient in the medical data by means of keyword search. For example, using “telephone” or “mailbox” or “immediate communication” as a key, retrieve the contact information of the patient in the medical data.
  • Step S12 The obtaining module 200 acquires the medical webpage browsed by the patient from the telecommunications carrier 5 according to the contact manner of the patient.
  • the access data includes an access time, an access website, a user name, a browsing number of the visited website, and the like;
  • the access data saved in the telecommunications carrier 5 is associated with a contact method, for example, the user A is on the mobile phone.
  • the Internet access service provided by the telecommunication carrier 5 is associated with the contact mode of the user A (eg, a mobile phone number), and the user A can be queried by the service provider 5 via the mobile phone number of the user A. Access to data.
  • the access URL includes a field of a preset medical website
  • the webpage linked by the visiting website is a medical webpage
  • Step S13 The analysis module 220 analyzes the medical webpage to obtain a second disease set that the patient browses the medical webpage.
  • the preset medical keyword included in the medical webpage belongs to the second disease collection that the patient pays attention to.
  • Step S14 The comparison module 230 compares the second disease set of the patient's attention with the first disease set in the medical data to obtain a third disease set of the patient suffering from the underlying disease.
  • the third set of diseases refers to a second subset of diseases in the second set of diseases of interest to the patient that are removed from overlapping with the first set of diseases in the medical data.
  • Step S15 The determining module 240 determines whether the number of browsing of the medical webpage corresponding to the third disease set exceeds a browsing preset value (for example, the browsing preset value is five times). Specifically, when the number of times of browsing of the medical webpage corresponding to the third disease set exceeds the browsing preset value, the flow proceeds to step S16. Otherwise, when the number of browsing of the medical webpage corresponding to the third disease set does not exceed the browsing preset value ⁇ Go back to step S12.
  • a browsing preset value for example, the browsing preset value is five times.
  • Step S16 When the number of times of browsing of the medical webpage corresponding to the third disease set exceeds the browsing preset value, the obtaining module 200 acquires the contact of the doctor related to the third disease set from the hospital information system 1. And informing the doctor to formulate a prevention plan for the corresponding disease in the third disease set according to the doctor's contact information.
  • the prevention scheme can be sent to the client 4 in text, voice and/or audio and video.
  • the prevention scheme is as follows: "Respected M, according to the medical webpage you visited in the last week, you have searched the asthma-related medical webpage thirty times, we are based on your medical treatment.
  • asthma prevention programs please refer to: (1) to avoid crowds; (2) go out, please carry N95 model mask; (3) keep warm, In particular, ensure that the head, chest and back are warm to avoid coldness; (4) Check the symptoms of asthma with physical examination; ( 5 ) Different types of asthma: If the following symptoms are met, for example, Symptom 1: XXX, Symptom 2: YYY, Symptom 3: Hey, please go to the hospital for a detailed examination, or you can contact Dr. Zhang directly, the contact information is 0755- ⁇ . Finally, I wish you good health!
  • Step S17 The sending module 250 sends the prevention program to the client 4 held by the patient to remind the patient to prevent potential diseases.
  • the present invention adopts the above technical solution, and brings the technical effects as follows:
  • the webpage browsing-based medical big data analysis and processing system and method of the present invention combined with the web page of the patient's browsing, the behavior of the patient is large
  • Data analysis can understand the risk of a patient's underlying disease and develop a preventive program that reduces the risk of a patient's potential disease and indirectly improves the patient's health.

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  • Engineering & Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Data Mining & Analysis (AREA)
  • Health & Medical Sciences (AREA)
  • Public Health (AREA)
  • Medical Informatics (AREA)
  • Theoretical Computer Science (AREA)
  • Biomedical Technology (AREA)
  • General Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
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  • Physics & Mathematics (AREA)
  • Epidemiology (AREA)
  • General Health & Medical Sciences (AREA)
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  • Medical Treatment And Welfare Office Work (AREA)

Abstract

L'invention concerne un système et un procédé d'analyse et de traitement de mégadonnées médicaux basés sur une consultation de page web. Le procédé consiste : à rechercher des données médicales d'un patient pour un contact du patient (S11) ; à obtenir des pages Web médicales consultées par le patient à partir d'un opérateur de télécommunication en fonction du contact du patient (S12) ; à analyser les pages Web médicales pour obtenir un deuxième ensemble de maladies qui concerne le patient lors de la consultation des pages Web médicales (S13) ; à obtenir, en fonction du deuxième ensemble de maladies et d'un premier ensemble de maladies, un troisième ensemble de maladies de maladies potentielles dont le patient peut souffrir (S14) ; à obtenir, d'un système d'informations d'hôpital, un contact d'un médecin associé au troisième ensemble de maladies et à demander au médecin d'établir un plan de prévention pour des maladies correspondantes dans le troisième ensemble de maladies (S16) ; et à transmettre à un client le plan de prévention détenu par le patient (S17), de sorte à inviter le patient à prendre des mesures pour prévenir les maladies potentielles. Le risque du patient souffrant de maladies potentielles peut être connu et un plan de prévention peut être établi dans le temps de telle sorte que le risque du patient souffrant des maladies potentielles soit réduit.
PCT/CN2016/104131 2016-03-10 2016-10-31 Système et procédé d'analyse et de traitement de mégadonnées médicales basés sur une consultation de page web WO2017152638A1 (fr)

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CN201610136396.1A CN105825044A (zh) 2016-03-10 2016-03-10 基于网页浏览的医疗大数据分析及处理系统及方法
CN201610136396.1 2016-03-10

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CN105825044A (zh) * 2016-03-10 2016-08-03 深圳市前海安测信息技术有限公司 基于网页浏览的医疗大数据分析及处理系统及方法
CN106815336A (zh) * 2016-12-31 2017-06-09 深圳市易特科信息技术有限公司 基于大数据关联存储的医疗数据查询系统及方法
CN107967948B (zh) * 2017-12-07 2021-10-08 泰康保险集团股份有限公司 医疗大数据分析方法与装置
CN110335683B (zh) * 2019-06-14 2023-03-21 北京纵横无双科技有限公司 一种健康大数据分析方法及装置
CN110347917A (zh) * 2019-06-14 2019-10-18 北京纵横无双科技有限公司 一种医疗信息推送方法及装置
CN113011988A (zh) * 2021-02-20 2021-06-22 北京爱选信息科技有限公司 基于大数据的保险精算系统

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