1. Nursing Department, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou 310016, China.
2. Institute of Nursing Research, Zhejiang University School of Medicine, Hangzhou 310058, China.
Zhejiang Da Xue Xue Bao Yi Xue Ban. 2022 Feb 25;51(1):115-121. doi: 10.3724/zdxbyxb-2021-0380.
: To design and develop a Wechat applet for intelligent health management of metabolic syndrome. 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. 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. 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.
设计并开发一个用于代谢综合征智能健康管理的微信小程序。根据接受体检者、代谢综合征患者和医务人员的需求和要求，设计并开发了一个用于代谢综合征管理的微信小程序，涉及健康数据收集、健康风险预测、健康管理知识库融合和智能推荐、数据隐私和安全。该平台由三个用户端口组成：接受体检者和代谢综合征患者、医务人员和系统管理员。该平台的主要功能包括代谢综合征风险预测、健康管理策略的智能推荐、健康行为记录和监督、专家咨询和健康知识指导。本研究开发的微信小程序可用于一般人群的代谢综合征风险预测和代谢综合征患者的健康管理，帮助他们增强健康管理意识和健康行为依从性。
