Never Events, particularly the inadvertent unintended retention of surgical instruments, represent a critical challenge compromising patient safety. Existing methods such as manual instrument counting and RFID technology fall short in preventing these incidents, highlighting the critical need for an innovative solution to fortify patient safety protocols. 

Vision AI Surgical Instrument Tracking, powered by Deep Learning has real-time, precise tracking that directs the shortcomings of traditional methods and ensures accuracy, transparency, and a better improvement in patient safety. 

This whitepaper considers Vision AI’s role in enhancing patient safety by preventing Never Events through the Surgical Instrument Tracking System before, during, and after surgery in an Operation Theatre.  

Main highlights: 

• Analysis of Never Events and its Risk: Categorizing and understanding critical incidents. 
• Statistical Insights: Highlighting reported incidents. 
• Limitations of Current Methods for Never Events in Surgical: Addressing Manual Counting and RFID limitations.  
• Vision AI solution: Enhancing patient safety and error prevention during surgery.
• Vision AI System Functionality: Monitoring the procedure and functionality overview with AI-driven features. 
• Benefits of Instrument Tracking: Improved patient safety and operational efficiency.