The rise of edge computing in healthcare data processing

Vadlamudi, Madhavi Latha (2025) The rise of edge computing in healthcare data processing. World Journal of Advanced Research and Reviews, 26 (1). pp. 937-943. ISSN 2581-9615

This article examines the transformative impact of edge computing on healthcare data processing, highlighting how this paradigm shift enables real-time analytics while addressing critical challenges in the healthcare sector. By processing information closer to data sources—on devices, local servers, or edge nodes—healthcare organizations can significantly reduce latency, enhance privacy, and improve patient care outcomes. The article explores applications across remote patient monitoring, wearable medical devices, and clinical IoT environments, demonstrating how distributed data processing transforms clinical workflows and decision-making processes. Technical advantages, including bandwidth conservation, energy efficiency, and operational continuity during network disruption, are evaluated alongside implementation challenges related to security, interoperability, and resource constraints. As healthcare delivery models become increasingly distributed, edge computing emerges as a crucial technological foundation for next-generation medical data management and patient-centered care.