Abstract:

By using methods like comprehensive induction and case analysis, this paper analyzes the research progress of health care data life cycle management and service on wearable devices, and builds a health care data life cycle model. Firstly, based on the existing relevant theories of the data life cycle, it analyzes the process and content of data at each stage of the data life cycle, including data acquisition, data transmission, data integration, data interaction, and data feedback. Combined with the characteristics of the device and the data source, it builds a health care data life cycle model based on the wearable device, and discusses data security issues among the data life cycle. Next, it explores the health care data service, mainly from the aspects of health care data tracking and prediction. Finally, based on the above content, considering the new changes of information technology and the new characteristics of user needs, the development direction of future research is pointed out: long-term tracking of health care data based on wearable devices; health care data fusion collected by the wearable device; precise health care information provision based on long-term tracking data; and protection and privacy of health care data based on wearable devices.

Key words: Wearable device, Health care data, Data life cycle, Data management and service, Health information, Data privacy protection