Patient Activity Monitoring Based on Real-Time Location Data

摘要

We present our patient activity monitoring system with the aim of aiding informed clinical decision-making that encourages early and progressive ambulation (EPA). EPA has been shown to reduce the risk of many serious complications experienced by hospitalized patients. To achieve our goal, we employed a preexisting real-time location system (RTLS). We developed algorithms which leverage the data from an RTLS to determine the distance traveled, average velocity, time in zones-of-interest, and inactivity of patients to accurately inform clinicians of patient activities.