WEARABLE COMPUTING AND HEALTH INFORMATICS: BRIDGING BIOMEDICAL ENGINEERING AND DATA SCIENCE

Abstract

The convergence of wearable computing and health informatics marks a transformative shift in modern healthcare, enabling continuous, real-time monitoring and predictive analytics for disease prevention and personalized treatment. This paper explores the integration of wearable technologies with data science methodologies to address current challenges in biomedical engineering. It discusses sensor technologies, data acquisition protocols, machine learning applications, and privacy concerns. Case studies from Pakistan highlight the potential of these technologies in improving healthcare outcomes in low-resource settings. The study concludes with future trends and policy recommendations aimed at bridging the gap between engineering innovation and clinical application.