Intelligent Wellness

Abstract

The United States healthcare model has become increasingly reductive with components of a patient’s health profile dissected between isolated specialized fields. A declining primary care sector has exacerbated this compartmentalization as knowledge within these specialties becomes siloed, forcing treatment to become reactionary and sequential in the absence of a holistic perspective. This can lead to overlooked component interactions such as conflicting treatment plans or compounding illness. However, recent advancements in digital technologies may provide a solution through the facilitation of open communication between specialties. Intelligent Wellness, for instance, refers to a simultaneous optimization model of patient care which identifies and responds to imbalances in a person’s measurable stress through reference to their entire health profile. This model holistically examines three pillars of an individual’s mental, physical, and financial wellbeing. Taking inspiration from naturally and mechanically occurring negative feedback loop systems, such Intelligent Wellness would collect comprehensive, real-time data on a participant’s internal functioning state and their relevant environmental factors. Such data would then be analyzed and delivered back to the participant in the form of personalized behavioral recommendations for effectively improving baseline health. This collection, analysis, and delivery would occur through a digital twin medium that acts to accurately simulate and predict a participant’s dynamic wellbeing.