Wearable Tech in Healthcare - a conversation
AI in Medicine - curated summaries making complex issues easy to understand - A podcast by Mike Rawson

This research paper investigates the use of wearable technology for health monitoring and diagnostics. A desktop research methodology, reviewing existing studies, reveals a gap in understanding the long-term effectiveness and equitable access of wearables. The paper explores the Technology Acceptance Model (TAM), Health Belief Model (HBM), and Unified Theory of Acceptance and Use of Technology (UTAUT) as frameworks for future research. It emphasizes the need for user-centered design, robust data privacy, and integration of wearables into healthcare systems to maximize their impact. Recommendations include addressing challenges related to device accuracy, user adherence, and the digital divide.