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Chinese Medicine Hospital Medical Big Data Platform Intelligent Search Subsystem Design And Implementation

Posted on:2020-02-07Degree:MasterType:Thesis
Country:ChinaCandidate:Y J XieFull Text:PDF
GTID:2428330572983927Subject:Software engineering
Abstract/Summary:PDF Full Text Request
With the continuous development of medical information construction,the hospital generates and accumulates a large amount of structured and unstructured data.The use of big data technology to process medical information data can better serve doctors and patients through better services.Based on the existing information system of the hospital,this paper is based on the idea of big data full-text retrieval and data center construction,and combined with the actual needs of medical staff,designed and implemented the intelligent search subsystem for the medical industry.The construction significance of the intelligent search subsystem of the medical big data platform of the Chinese Medicine Hospital is to open up information barriers of multiple business systems and realize patient-related data in multiple business systems including hospital HIS,LIS,EMR,PACS,RIS,etc.Interconnection.From the traditional traditional login multiple business systems to view the patient's information separately,it can be completed with only one simple query,achieving "data running,patients running less errands." And combined with the full-text search technology,the Baidu query of the hospital medical data is realized.It can greatly improve the satisfaction of patients and improve the efficiency of medical staff.The intelligent search subsystem of the medical big data platform of the Chinese Medicine Hospital develops and uses the B/S architecture,MVC design pattern,Spring+SpringMVC+Mybatis framework,Oracle12c database,SoIrCloud full-text search library and Tomcat middleware.The MVC architecture organizes the code with a business logic,data,and interface display separation method,and separates the business logic.It does not need to rewrite the business logic and improve the development efficiency when improving the interface and user interaction.Based on SorlCloud big data technology,the full-text search library develops full-text search engine,Chinese word segmentation and index library.It has the characteristics of high performance,high availability and high reliability,and realizes Baidu search.The intelligent search subsystem of the hospital big data platform of the hospital has realized the main functions of data management,patient files,patient index database and intelligent search.Data management implements data collection,data processing,data standardization,data analysis and modeling functions;the patient file realizes mathematical analysis of data from multiple business systems in which data centers are aggregated,and extracts data sets related to patients.The association modeling is carried out;the patient index library implements the selection and construction of the underlying index library,the storage of structured data to the index library,and the construction of the index library model;the full-text search implements Baidu-like queries,and the top-level user interaction,full text The functions of retrieval implementation,patient file query and other functions are connected in series.It has certain guiding significance for promoting the development of medical big data in Chinese medicine hospitals.
Keywords/Search Tags:Medical industry, Big data, Smart search, Patient files
PDF Full Text Request
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