The Bitemporal Lens Model-toward a holistic approach to chronic disease prevention with digital biomarkers

Objectives We introduce the Bitemporal Lens Model, a comprehensive methodology for chronic disease prevention using digital biomarkers.Materials and Methods The Bitemporal Lens Model integrates the change-point model, focusing on critical disease-specific parameters, and the recurrent-pattern model, emphasizing lifestyle and behavioral patterns, for early risk identification.Results By incorporating both the change-point and recurrent-pattern models, the Bitemporal Lens Model offers a comprehensive approach to preventive healthcare, enabling a more nuanced understanding of individual health trajectories, demonstrated through its application in cardiovascular disease prevention.Discussion We explore the benefits of the Bitemporal Lens Model, highlighting its capacity for personalized risk assessment through the integration of two distinct lenses. We also acknowledge challenges associated with handling intricate data across dual temporal dimensions, maintaining data integrity, and addressing ethical concerns pertaining to privacy and data protection.Conclusion The Bitemporal Lens Model presents a novel approach to enhancing preventive healthcare effectiveness. Encouraging people to manage their health is essential in preventing chronic diseases like type 2 diabetes and heart disease. With mobile technologies such as health apps and fitness trackers, monitoring health has become more accessible and affordable compared to doctoral visits and traditional health check-ups. These technologies are, however, mainly used for disease management rather than prevention and there is no common understanding of how they can best be used for preventive purposes. To this end, we introduce the Bitemporal Lens Model a comprehensive method to use mobile technologies for disease prevention. We explain the structure and usefulness of the Bitemporal Lens Model, discuss its advantages and limitations, and present potential use cases.