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WO2018153030A1 - Système et procédé de notation et de recommandation de médecin basées sur une page web à des fins d'informatisation médicale - Google Patents

Système et procédé de notation et de recommandation de médecin basées sur une page web à des fins d'informatisation médicale Download PDF

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Publication number
WO2018153030A1
WO2018153030A1 PCT/CN2017/096127 CN2017096127W WO2018153030A1 WO 2018153030 A1 WO2018153030 A1 WO 2018153030A1 CN 2017096127 W CN2017096127 W CN 2017096127W WO 2018153030 A1 WO2018153030 A1 WO 2018153030A1
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WO
WIPO (PCT)
Prior art keywords
medical
node
doctor
webpage
disease type
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Ceased
Application number
PCT/CN2017/096127
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English (en)
Chinese (zh)
Inventor
张贯京
葛新科
王海荣
高伟明
张红治
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shenzhen Qianhai AnyCheck Information Technology Co Ltd
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Shenzhen Qianhai AnyCheck Information Technology Co Ltd
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Publication of WO2018153030A1 publication Critical patent/WO2018153030A1/fr
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Ceased legal-status Critical Current

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Classifications

    • 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
    • G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/20—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06398—Performance of employee with respect to a job function
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06F16/951—Indexing; Web crawling techniques
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06F16/955—Retrieval from the web using information identifiers, e.g. uniform resource locators [URL]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/22—Social work or social welfare, e.g. community support activities or counselling services

Definitions

  • the present invention relates to the field of medical big data, and in particular, to a medical informationization webpage-based doctor rating recommendation system and method.
  • 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 main purpose of the present invention is to provide a medical information-based webpage-based doctor rating recommendation system and method, aiming at solving the existing technical problems in the process of medical big data processing without analyzing and processing based on web pages and recommending doctors. .
  • the present invention provides a medical informationization webpage-based doctor rating recommendation system. And running in the data center, the data center is connected to the hospital information system, the client, and the search engine website through a network, and the medical informationization webpage-based doctor rating recommendation system includes:
  • an obtaining module configured to obtain medical data from a hospital information system of each hospital
  • a creating module configured to parse medical data of each hospital, and create a list of disease types according to a disease type keyword
  • the obtaining module is configured to obtain a medical news webpage from a search engine website;
  • an association module configured to search, in the medical news webpage, according to a node keyword in the disease type list, and associate the retrieved medical news webpage with a node corresponding to the node keyword;
  • a rating module configured to score each doctor in the disease type list according to the retrieved medical news webpage
  • a display module configured to: when the patient queries the corresponding disease by the client, recommend the highest rated doctor to the patient, and display it on the patient's client.
  • the medical data further includes a hospital name, a patient name, a patient's annual sputum, a diseased sputum, a disease cause, a disease diagnosis information, a drug name, a drug quantity, a doctor name, a doctor's office, a fee, and a patient's Contact information and evaluation information for doctors.
  • the association module is specifically configured to:
  • the node keyword in the disease type list may be a node name or a node a preset keyword in the middle;
  • a medical news webpage includes a node keyword in the disease type list
  • the medical news webpage is associated with a node corresponding to the node keyword.
  • the present invention further provides a medical informationization webpage-based doctor rating recommendation method, which is applied to a data center, and the data center is connected to a hospital information system, a client, and a search engine website through a network, the method include:
  • the highest rated doctor is recommended to the patient and displayed on the patient's client.
  • the medical data further includes a hospital name, a patient name, a patient's annual sputum, a diseased sputum, a disease cause, a disease diagnosis information, a drug name, a drug quantity, a doctor name, a doctor's office, a fee, and a patient's Contact information and evaluation information for doctors.
  • the disease type list is divided into three layers of nodes, the first layer node is a disease name node, the second layer node is a department node of the hospital where the disease type is located, and the third layer node is a doctor information node.
  • the searching is performed on the medical news webpage according to a node keyword in a disease type list.
  • step of associating the retrieved medical news webpage with the node corresponding to the node keyword includes the following steps:
  • the node keyword in the disease type list may be a node name or a node a preset keyword in the middle;
  • a medical news webpage includes a node keyword in the disease type list
  • the medical news webpage is associated with a node corresponding to the node keyword.
  • the present invention adopts the above technical solution, and brings the technical effects as follows:
  • FIG. 1 is a schematic diagram of an application environment of a medical information webpage-based doctor rating recommendation system according to the present invention
  • FIG. 2 is a functional block diagram of a preferred embodiment of the medical information webpage-based doctor rating recommendation system of the present invention
  • FIG. 3 is a flow chart of a preferred embodiment of the medical information webpage-based doctor rating recommendation method of the present invention.
  • FIG. 4 is a schematic diagram of a disease type list of the present invention.
  • FIG. 1 is a schematic diagram of an application environment of a medical information webpage-based doctor rating recommendation system according to the present invention.
  • the medical informationization web page based physician rating recommendation system 20 in 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 hospital name, a patient's name, a patient's age, a diseased day, a disease cause, a disease diagnosis information, a drug name, a drug quantity, a doctor's name, a doctor's office, a fee, a patient's Contact information (for example, email address, mobile phone number, and instant messaging account number), and information about the doctor's evaluation.
  • a hospital name for example, a patient's name, a patient's age, a diseased day, a disease cause, a disease diagnosis information, a drug name, a drug quantity, a doctor's name, a doctor's office, a fee, a patient's Contact information (for example, email address, mobile phone number, and instant messaging account number), and information about the doctor's evaluation.
  • 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 one or more clients 4 (illustrated by three in FIG. 1) through the network 3, and the doctor with the highest rating after the patient search is recommended to the patient.
  • the data center 2 may further analyze and process the medical data, and send the analyzed disease association list (as shown in FIG. 4 to the associated list of diseases "fever") to the patient via the network 3.
  • Corresponding client 4 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 coupled to the search engine website 5 via the network 3 for obtaining medical news web pages from the search engine website 5.
  • the search engine website 5 provides an API interface, and a device or system accessing the API interface can obtain a medical news webpage from the search engine website 5.
  • the data center 2 obtains the medical news web page on the basis of the authorization of the search engine website 5 (i.e., authorized access to the API interface provided by the search engine website 5).
  • 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.
  • 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 information-based web-based physician rating recommendation system of the present invention.
  • the medical informationization web page based doctor rating recommendation system 20 is applied to the data center 2.
  • the data center 2 includes, but is not limited to, a medical information-based web-based physician rating recommendation 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 M, flash memory unit 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, supports communication technologies such as GSM, GPRS, WCDMA, CDMA, TD-SCDMA, WiMAX, TD-LTE, FDD-LT E Communication interface.
  • communication technologies such as GSM, GPRS, WCDMA, CDMA, TD-SCDMA, WiMAX, TD-LTE, FDD-LT E Communication interface.
  • the medical informationization webpage-based doctor rating recommendation system 20 includes, but is not limited to, an acquisition module 200, a creation module 210, an association module 220, a rating module 230, and a display module 240.
  • the module referred to in the present invention is A series of computer program instructions that can be executed by the processing unit 24 of the data center 2 and that are capable of performing a fixed function are stored in the storage unit 22 of the data center 2.
  • the acquisition module 200 is configured to acquire medical data from the hospital information system 1 of each hospital.
  • 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 creating module 210 is configured to parse the medical data of each hospital, and create a disease type list according to the disease type keyword.
  • the disease type list is divided into three layers of nodes, the first layer node is a disease name node (the node holds disease name information), and the second layer node is a department node of the hospital where the disease type is located (the node holds the name of the hospital department), The third layer node is the doctor information node (this node saves the doctor's name, job title, receiving volume, favorable rate, etc.).
  • the list of disease types is a list of disease "fever". In other embodiments, the list of disease types may be more than three layers (eg, four layers, five layers, or more)
  • the obtaining module 200 is configured to obtain a medical news webpage from the search engine website 5.
  • the medical news webpage may be, but is not limited to, a news webpage introduced by a medical disease, a negative medical news webpage (for example, Medical news pages for medical malpractices, news pages on the front of hospitals, and other types of medical news pages.
  • the association module 220 is configured to perform a search on the medical news webpage according to a node keyword in the disease type list, and associate the retrieved medical news webpage with a node corresponding to the node keyword.
  • the node keyword in the disease type list may be a node name or a node One of the default keywords.
  • the housekeeping word of the hospital department node is "XXX People's Hospital Internal Medicine";
  • a medical news webpage includes a node keyword in the disease type list, the medical news webpage is associated with a node corresponding to the node keyword.
  • the rating module 230 is configured to score each doctor in the disease type list according to the retrieved medical news webpage.
  • the default value of the clinic hospital is 40, etc.
  • d is the default value corresponding to the doctor's title (for example, the default value of the chief doctor is 30, the default value of the deputy doctor is 25, and the default value of the doctor is 20, etc.)
  • a and b are fixed parameters (for example, a is a value of 15, b is a value of 10, etc.). It should be noted that the higher the value of Y calculated according to the formula, the higher the doctor's score.
  • the display module 240 is configured to recommend the highest rated doctor to the patient when the patient queries the corresponding disease defect through the client 4, and displays it on the patient's client 4. Specifically, as shown in Figure 4, if the doctor's score in the hospital of A hospital is up to 145 points, then when the patient queries the fever through the client 4, the doctor's information of the hospital A is displayed. Client 4 on it. In addition, when multiple doctors score the same, the display module 240 selects a doctor who has received more than the preset value (10000 times) and the favorable rate is greater than the preset rate (95%). [0064] Referring to FIG. 3, it is a flowchart of a preferred embodiment of the medical informationization webpage-based doctor rating recommendation method of the present invention. In this embodiment, the medical informationization webpage-based doctor rating recommendation 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 of each hospital.
  • 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 creating module 210 parses the medical data of each hospital, and creates a disease type list according to the disease type keyword.
  • the disease type list is divided into three nodes, the first node is the disease name node (the node holds the disease name), and the second layer is the department node of the hospital where the disease type is located.
  • the list of disease types is a list of diseases "fever”. In other embodiments, the list of disease types may be more than three layers (e.g., four layers, five layers, or more).
  • Step S12 The obtaining module 200 acquires a medical news webpage from the search engine website 5.
  • the medical news webpage may be, but is not limited to, a news webpage for medical disease introduction, a negative medical news webpage (for example, a medical news webpage for medical malpractice), a news webpage of a hospital front, and other types of medical news webpages.
  • Step S13 The association module 220 searches the medical news web page according to the node keyword in the disease type list, and associates the retrieved medical news webpage with the node corresponding to the node keyword.
  • the step of associating the retrieved medical news webpage with the node corresponding to the node keyword according to the node keyword in the disease type list is performed in the medical news webpage, and the following steps are as follows: [0072] (1) acquiring a node keyword in the disease type list, and searching whether there is a corresponding medical news webpage by using the keyword, wherein the node keyword in the disease type list may be a node name or a node One of the default keywords. For example, as shown in Figure 4, the housekeeping word of the hospital department node is "XXX People's Hospital Internal Medicine";
  • a medical news webpage includes a node keyword in the disease type list, the medical news webpage is associated with a node corresponding to the node keyword.
  • Step S14 The rating module 230 scores each doctor in the disease type list according to the retrieved medical news webpage.
  • the default value of the clinic hospital is 40, etc.
  • d is the default value corresponding to the doctor's title (for example, the default value of the chief doctor is 30, the default value of the deputy doctor is 25, and the default value of the doctor is 20, etc.)
  • a and b are fixed parameters (for example, a is a value of 15, b is a value of 10, etc.). It should be noted that the higher the value of Y calculated according to the formula, the higher the score of the doctor.
  • Step S15 When the patient queries the corresponding disease by the client 4, the display module 240 recommends the doctor with the highest score to the patient and displays it on the client 4 of the patient. Specifically, as shown in Figure 4, if the doctor's score in the hospital of A hospital is up to 145 points, then when the patient queries the fever through the client 4, the doctor's information of the hospital A is displayed. Client 4 on it. In addition, when multiple doctors score the same, the display module 240 selects a doctor who is more than the preset value (10000 times) and the favorable rate is greater than the preset rate ( 95 ⁇ 3 ⁇ 4).
  • the present invention adopts the above technical solution, and brings the technical effects as follows:
  • the medical informationization based network of the present invention The doctor's rating recommendation system and method of the page, the big data analysis of the medical data, thereby rating the doctors in the hospital, facilitating the patient to pick up the corresponding doctor, and saving the time of the patient's inquiry.

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Abstract

L'invention concerne un système et un procédé de notation et de recommandation de médecin basées sur une page Web à des fins d'informatisation médicale, le procédé comprenant : acquérir des données médicales à partir d'un système d'informations d'hôpital de chaque hôpital (S10) ; analyser les données médicales provenant de chaque hôpital, et créer une liste de types de maladie en fonction de mots-clés de type de maladie (S11) ; obtenir une page Web d'actualités médicales à partir d'un site Web de moteur de recherche (S12) ; réaliser une extraction dans la page Web d'actualités médicales en fonction d'un mot-clé de nœud dans la liste de types de maladie, et associer la page Web d'actualités médicales extraite à un nœud correspondant au mot-clé de nœud (S13) ; noter chaque médecin dans la liste de types de maladie en fonction de la page Web d'actualités médicales extraite (S14) ; et, lorsqu'un patient se renseigne sur une maladie correspondante au moyen d'un client, recommander le médecin ayant le score le plus élevé au patient, et afficher celui-ci sur le client du patient (S15). Selon ledit procédé, des données médicales peuvent être soumises à une analyse de données volumineuses, permettant ainsi d'aider un patient à trouver un médecin correspondant lorsque le patient est malade et de réduire le temps nécessaire pour que le patient se renseigne.
PCT/CN2017/096127 2017-02-25 2017-08-05 Système et procédé de notation et de recommandation de médecin basées sur une page web à des fins d'informatisation médicale Ceased WO2018153030A1 (fr)

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CN201710105144.7A CN106952020A (zh) 2017-02-25 2017-02-25 医疗信息化基于网页的医生评级推荐系统及方法
CN201710105144.7 2017-02-25

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CN106202945A (zh) * 2016-07-13 2016-12-07 张志华 一种高安全性的医患信息管理系统
CN106227880A (zh) * 2016-08-01 2016-12-14 挂号网（杭州）科技有限公司 医生搜索推荐的实现方法
CN106952020A (zh) * 2017-02-25 2017-07-14 深圳市前海安测信息技术有限公司 医疗信息化基于网页的医生评级推荐系统及方法

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CN112907045A (zh) * 2021-02-02 2021-06-04 方翔 一种基于5g物联网的智慧医疗数据采集方法
CN112907045B (zh) * 2021-02-02 2023-06-30 阳光云救医疗科技(深圳)有限公司 一种基于5g物联网的智慧医疗数据采集方法
CN116501963A (zh) * 2023-04-26 2023-07-28 纳里健康科技有限公司 5g领域中一种考虑患者浏览序列的医生推荐方法

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