Access control for secure remote patient monitoring

The utilization of wearable wireless devices in healthcare management for monitoring patient health is widespread. However, there is always a risk to the data that is being transmitted. To develop a model for monitoring the health of patients using wireless body sensor devices, previous research in the field was studied, and a comprehensive literature review of the work was created. The review primarily focuses on improving medical conditions among different patients in the medical industry and ensuring the protection of their data. The methodology used was to choose approximately 20 distinct research articles and conduct further secondary research, resulting in the in-depth review of 12 best solutions. The anticipated findings of the work include detailed information on various approaches for data security and privacy. Additionally, the review selects efficient and fastest secure login models for both medical professionals and patients. The Decision Tree model and Fed Inforce Fusion exhibit an accuracy rate exceeding 99%, while the Lightweight Blockchain model offers the fastest access time.