Design and Research of Smart Health Management System Based on Big Data

Abstract:
Health is the basis of individual life and the premise of social progress, but its data is difficult to collect, process and synchronize in health management. This leads to difficulties in health prediction and timely recognition. In order to address these issues and change the passive position of individuals in health management, the aim of this study is to improve the ability to intervene early on risk factors that may lead to disease and the timeliness of health status understanding. After obtaining the needs of people of all ages in health management through questionnaire survey, the technology of big data, cloud computing, artificial intelligence, intelligent perception and intelligent positioning is deeply integrated, and the design scheme of intelligent health management system with multi-end integration is designed, and the key technologies and processes are elaborated. The system includes health data collection, cloud diagnosis, online consultation, emergency call, integrated registration and health information recommendation and other functions. 32 people of different ages were randomly selected for interviews, and the conclusion was drawn that the platform could solve the pain points of health management and effectively improve the level of health management.