Retained surgical items (RSIs), objects left in a patient’s body after surgery, pose significant risks to patient safety. These incidents can result in severe complications, prolonged hospital stays, additional surgeries, and even fatalities. RSIs were the top sentinel event in 2019, highlighting the need for improved prevention measures. Hospitals have implemented various strategies like barcoding, radiofrequency tagging, and manual counting to reduce RSI risks. In recent years, data-driven video technology, combined with AI-powered cameras and analytics, has emerged as a game-changer. It enables real-time monitoring of surgical procedures, object recognition, automated anomaly alerts, predictive analytics, audit trails, and enhanced documentation. This technology not only improves patient outcomes but also reduces legal liabilities for healthcare providers, making it a crucial tool for enhancing patient safety in surgical environments.
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