GeoHealthTrack: A Geometry-Driven Positioning Algorithm for Enhanced Healthcare Asset and Personnel Tracking in Smart Hospitals

Abstract

In the era of smart healthcare systems, efficient tracking of healthcare assets and personnel within hospital environments is paramount. This paper introduces GeoHealthTrack, a novel algorithm designed for precise and adaptive healthcare asset and personnel tracking in smart hospitals. Leveraging advanced geometric principles, the algorithm employs trilateration and dynamic clustering mechanisms to accurately determine real-time locations. The innovation lies in its dynamic spatial mapping, adaptive positioning, and scalability, ensuring robust performance in dynamic healthcare environments. Performance evaluations showcase high accuracy, precision, and scalability, positioning GeoHealthTrack as a transformative solution for optimizing operational efficiency in modern healthcare settings. This paper presents a comprehensive understanding of the algorithm's design, its implementation considerations, and promising results from performance evaluations. GeoHealthTrack stands as a beacon of innovation, promising enhanced patient care through advanced tracking capabilities in smart hospitals.