Engineering Medicine: Conceptualizing the Human Body as an Information Processing System

Abstract – Engineering Medicine: Wearables, Preventive Health, and Medical DX Traditional medicine often focuses on organ- and disease-specific understanding, limiting the ability to grasp systemic health or optimize individualized care. Engineering Medicine offers a unified paradigm that conceptualizes the human body as an information-processing system, applying control-theoretic perspectives to mental, metabolic, and neurological disorders. This framework models organs and physiological systems as input-processing-output functions, where deviations in control parameters explain disease states. Treatments aim to stabilize system dynamics rather than merely alleviate symptoms. Real-time monitoring through wearable devices—tracking heart rate, blood pressure, sleep, and activity—enables early detection of deviations, allowing preventive interventions before disease progression. Longitudinal data collection further supports personalized, quantitative preventive care. Integration with AI and computational biology allows automated optimization of interventions and data-driven evaluation of outcomes. This facilitates resource allocation, reduces healthcare costs, and extends healthy lifespans. Beyond clinical application, the framework informs medical education, research, and AI-guided drug development, providing a system-level perspective for next-generation healthcare professionals. In summary, Engineering Medicine combines wearables, preventive health, and medical digital transformation to create a globally scalable, personalized, and predictive healthcare paradigm, bridging clinical practice, technology, and societal benefit.