Hospitals across the globe are grappling with a significant challenge in patient safety: the inefficiency and unreliability of fall prevention tools that generate excessive false alarms. These false alarms not only waste valuable nursing hours but also contribute to a broader issue known as alarm fatigue. In the context of today’s acute staffing crisis, such inefficiencies are untenable.

Enter VSTOne's advanced AI fall prevention system, a groundbreaking solution designed to tackle these critical issues head-on. VSTOne leverages sophisticated artificial intelligence to provide nuanced, efficient, and highly effective patient safety measures, specifically targeting the reduction of false alarms. This advanced system distinguishes between real fall risks and non-threatening movements, ensuring that nursing staff are alerted only when necessary.

By reducing false alarms by an impressive 95%, VSTOne addresses the root cause of alarm fatigue, thereby enhancing the overall efficiency of fall prevention efforts. Nurses can now focus their attention where it is genuinely needed, rather than being distracted by a constant barrage of unnecessary alerts. This not only improves patient safety but also significantly boosts the morale and productivity of healthcare workers.

In today’s healthcare environment, where staffing shortages are a persistent issue, the efficiency brought about by VSTOne’s AI-driven fall prevention system is invaluable. Every nursing hour saved by eliminating false alarms is an hour that can be redirected toward direct patient care, thus improving the quality of care and patient outcomes. 

Learn more about VSTOne in our new white paper.