Data, Applications, Benefits and Challenges
Much of the success in reducing morbidity and mortality over the past half century has been due to earlier detection of disease, in tandem with public health measures such as smoking cessation and weight management; as well as wider application of proven therapies for primary and secondary prevention.
Fast forward to today, the significant advances in data collection and data platforms (including the advent of AI and sophisticated algorithms) have raised interest in leveraging expanded data and information to create a more comprehensive (all-encompassing) view of individual risk markers and other health risk characteristics outside the realm of more traditional clinical (biometric) measures.