Automating Healthcare Practitioner's Indoor Mobility Detection Using Mobile Application
Monitoring the indoor mobility of healthcare practitioners is a key factor in improving clinic layout and time management. Traditional methods for tracking practitioners' indoor mobility rely on subjective self-reports or resource-intensive manual assessments. This paper introduces a novel mobile application designed to automate indoor mobility detection for healthcare practitioners, leveraging smartphone sensors and Bluetooth Received Signal Strength Indicators. The application combines real-time data collection with inter-device data sharing from a swarm of stationary devices to generate detailed mobility profiles. Initial evaluations suggest the application enhances traditional mobility assessments' efficiency and accuracy, offering a scalable and cost-effective solution for healthcare practitioner monitoring. The proposed tool aims to enable clinics with actionable data, improving practitioner efficiency and patient outcomes while reducing overhead associated with manual tracking.
