Design and development of a Wechat applet for intelligent health management of metabolic syndrome.
10.3724/zdxbyxb-2021-0380
- Author:
Leiwen TANG
1
;
Dandan CHEN
2
;
Jing SHAO
2
;
Hui ZHANG
2
;
Jingjie WU
2
;
Zhihong YE
1
Author Information
1. 1. Nursing Department, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou 310016, China.
2. 2. Institute of Nursing Research, Zhejiang University School of Medicine, Hangzhou 310058, China.
- Publication Type:Journal Article
- Keywords:
Health management;
Metabolic syndrome;
Risk forecasting;
Wechat applet
- MeSH:
Humans;
Metabolic Syndrome/therapy*;
Software
- From:
Journal of Zhejiang University. Medical sciences
2022;51(1):115-121
- CountryChina
- Language:English
-
Abstract:
: 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.
