知识与财富的链接
目的：设计与开发满足代谢综合征风险预测及健康管理需求的微信小程序。方法：依托智能手机与互联网技术,根据健康体检人群、代谢综合征患者以及医护人员的需求分析结果,以健康数据采集、健康风险预测、健康管理知识库融合及决策建模、数据隐私及安全为技术关键点,设计与开发基于微信小程序的智能健康管理平台。结果：平台包括体检者及患者端、医护人员端和系统管理者后台三个端口,具有代谢综合征风险预测、健康管理策略智能推荐、健康行为记录与督促提醒、专家咨询、健康知识推送等主要功能。结论：开发了可用于代谢综合征高危人群风险预测和患者健康管理的微信小程序,有助于提升该人群的健康管理意识和健康行为依从性,从而更精准、高效地实现健康促进的目标。
Objective: To design and develop a Wechat applet for intelligent health management of metabolic syndrome. Methods: Based on the needs and requirements of individuals undergoing health check-up, patients with metabolic syndrome and medical workers, a Wechat applet for metabolic syndrome management was designed and developed, which involving health data collection, health risk prediction, health management knowledge base fusion and intelligent recommendation, data privacy and security. Results: The platform consists of three user ports: individuals undergoing health check and patients with metabolic syndrome, the medical workers and the system administrators. The main functions of the platform included metabolic syndrome risk prediction, intelligent recommendation of health management strategies, health behavior record and supervision, experts’ consultation and health knowledge guide. Conclusion: The Wechat applet developed in this study can be used for metabolic syndrome risk prediction for general population, and health management for patients with metabolic syndrome, which helps them to enhance health management awareness and health behavior adherence.