Research Project
9343403
Fall detection, assessment, and prevention is a challenging issue across the care continuum. Despite wide recognition as a considerable problem, fall-related injuries are still the most frequently reported adverse events in hospital inpatient settings, with 3-20% of patients falling at least once during their stay. According to the Agency for Healthcare Research and Quality reports, 30% to 51% of falls result in injury. In the United States alone, the number of inpatient falls exceeds 1 million per year, with elderly individuals being the most vulnerable. As a testament to its importance, fall research was listed as a top priority in the Institute of Medicine's report to Congress on national priorities. Diverse factors contribute to falls, including patient factors (e.g., cognitive state, muscle weakness, medi- cations), environmental factors (e.g., bed/toilet positioning, trip hazards), and institutional factors (e.g., poor responsiveness to call bells or bed/chair alarms, inadequate fall prevention measures). Although hospitals em- ploy diverse programs to prevent falls and fall injuries, an essential component to a fall prevention program is accurate determination of fall events, as many falls are \unseen and unreported. The body-worn FallCall system, proposed herein, will leverage powerful sensing capabilities to provide robust fall detection and to report fall locations without bothersome false alarms. The FallCall body-worn instrument will embody a reusable miniature electronics package that is encapsulated in a disposable, hypoallergenic adhesive patch. The patch can be placed anywhere on the torso to minimize interaction with other medical equipment or injury sites. The system will continuously monitor patients and issue a timely alert if a fall is detected, minimizing patient time on the ground, as well as injury assessment and treatment latencies. The FallCall system will also allow patient location to be determined (including the room and oor of the hospital) using a redundant wireless mesh network. The instrument will be powered by a miniature rechargeable battery that will last for at least one week. The FallCall system will also have the capability to issue wander and inactivity alerts. Additionally, the system can use its internal sensors to track measures of stability, providing objective data that may o er improved predictive value in identifying individuals at risk for falling and tracking fall risk longitudinally. The proposed system will represent one of the rst ways to objectively measure the response time of clinical sta when a fall occurs, and will be a key component in evaluating and improving fall prevention programs.
