Design And Implementation Of Medical Information System

In recent years,due to the accelerated pace of people’s life,increasing work pressure,and various unhealthy lifestyles emerge in an endless stream,people’s demand for medical services has increased significantly,thus promoting the increasing prosperity of the medical service industry.At the same time,while people are enjoying all kinds of information convenience brought by the rapid development of information technology,they are also suffering from being surrounded by information explosion and information garbage.Especially with the in-depth development of Internet services,users’ needs become more vertical and personalized.It is important to explore personalized recommendations to address these issues.This paper aims to design a medical information system with simple operation and good user experience.The system can push personalized medical information according to users’ personal interests and hobbies,combining their basic personal information and health data.The system can provide users with functions such as registration,login,browsing information,searching information and health data management,etc.It can also support administrators to carry out unified management and push health Suggestions to users.Specifically,this paper designs and implements a medical information system by analyzing the subject background of personalized medical information recommendation system and the recommendation algorithm research in the medical field at home and abroad,and combining with crawler technology and data pretreatment technology.From the perspective of feasibility analysis and demand analysis,this paper analyzes the functional and non-functional requirements of the medical information system,designs the system’s functions and architecture,and defines the specific implementation methods of each core functional module of the medical information system.In the implementation stage,the functional modules of the system are developed and tested according to the requirements.In this paper,crawler technology is adopted to acquire and integrate the data of the designated website.Hybrid recommendation algorithm is adopted to integrate the advantages of various recommendation technologies.In view of the cold start problem,content-based recommendation method is adopted.To solve the problem of user surprise,a collaborative filtering recommendation algorithm is adopted.Finally,in order to verify the availability and effectiveness of the medical information system,relevant test cases are designed for the system and the results are analyzed.This paper combines the user’s personal information and interest data,and USES the hybrid recommendation algorithm to realize the personalized medical information system facing the Internet medical information.This will help provide users with intelligent and accurate medical information and improve their quality of life.