The peer-reviewed study, “eHealth Literacy, Attitudes, and Willingness to Use an Artificial Intelligence-Assisted Wearable OTC-EHR System for Self-Medication: An Empirical Study Exploring AI Interventions,”, examines how digital health competency shapes trust, attitudes and adoption behavior toward a proposed wearable system that integrates Over-the-Counter Electronic Health Records (OTC-EHR) with smartwatch-based monitoring.
The researchers propose an AI-assisted wearable system that integrates OTC-EHR with smartwatch sensors. The envisioned system collects physiological and behavioral data, such as heart rate, activity levels, sleep patterns and medication histories—then uses AI algorithms to detect patterns, identify potential risks and provide personalized self-medication guidance. Users receive continuous recommendations about dosage, timing and drug interactions based on their own health metrics. But whether users will adopt this technology depends heavily on their ability to understand, evaluate and apply health information sourced from digital tools.
【MORE】