Analytical Risk Profiling
- Analytical risk profiling via mobile data analytics
- Support Apple Health and Google Fit
Patient decision aids have led to cost savings (4-5% of net health costs), reduced rates of surgery, and lesser nonsurgical admissions (Stacey et al. 2014; Veroff et al. 2013). Nevertheless, the implementation of decision aids has been hindered by several barriers including unreliable physician-driven delivery of decision aids, inadequate technologies, and insufficient knowledge in patients’ engagement (Friedberg et al. 2013) which prompt for a convenient and automated means for patients to utilising decision aids more effectively. This solution transforms patient-centric care to elicit excellent opportunities to disentangle the issue of decisional conflict to eliminate patients’ regrets, dissatisfaction, and blaming manner.
This project aims to take a novel approach to design and develop a mobile platform which solves real-world problems as well as research challenges.