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Cloud-based solutions, real-time locating systems (RTLS), mobile applications and user interfaces, and use of artificial intelligence (AI) and machine learning (ML) technologies in surgical instrument tracking systems are among the key technological advancements. Mobile applications and user-friendly interfaces have simplified instrument tracking processes. Healthcare professionals can use smartphones or tablets to access instrument tracking data, perform inventory checks, and receive alerts or notifications.
Further, AI and ML technologies can analyse large volumes of tracking data, identify usage patterns, predict maintenance needs, and optimize inventory management. AI-powered algorithms can detect anomalies or errors in instrument usage, improving patient safety and reducing the risk of surgical errors. Moreover, integration of IoT allows the system to transmit data in real time, providing insights into usage patterns, instrument condition, and maintenance needs.