Pathophysiologic Basis of Connected Health Systems.

Area of Science:

• Digital Health
• Health Informatics
• Biomedical Engineering

Background:

• The COVID-19 pandemic accelerated telehealth adoption, highlighting the growing role of consumer health technologies.
• Modern healthcare increasingly involves sensors and devices in personal environments, extending care beyond clinical interactions.
• The proliferation of health technologies necessitates intelligent, personalized systems for health promotion and disease prevention.

Purpose of the Study:

• To introduce a systematic methodology for designing connected health systems.
• To ground the architecture of technological health solutions in the pathophysiologic basis of disease.
• To enable technology-agnostic clinical reasoning for integrating innovations into care delivery.

Main Methods:

• Developed a systematic methodology for designing connected health systems.
• Grounded the system design approach in the pathophysiologic basis of disease.
• Focused on enabling technology-agnostic clinical reasoning for system integration.

Main Results:

• Proposed a framework for organizing technological elements into therapeutic systems.
• Demonstrated a clinically reasoned approach to connected health system design.
• Facilitated the integration of sensors, devices, and intelligence into optimized health systems.

Conclusions:

• Connected health systems, designed systematically, can improve health maintenance and disease risk prediction.
• This approach empowers physicians to architect therapeutic networks using clinical reasoning.
• Potential benefits include expanding digital therapeutics to networked interventions and creating platforms for sharing technology combinations.