Clinical intelligence company Surgical Safety Technologies (SST) has launched an AI-powered interface protocol designed to incorporate surgical case milestones within electronic health record (EHR) systems.
This technology aims to alleviate the manual burden on nursing staff and boost operational efficiency.
SST's solution utilises advanced AI models and ambient sensing to autonomously identify and record key surgical events such as anaesthesia start and stop, wheels-in and wheels-out, and procedure start and stop times.
The accuracy of this system allows nursing staff to devote more attention to direct patient care.
An analysis by SST on manual documentation practices uncovered significant delays in the recording of surgical milestones. These delays disrupt surgical capacity planning and perpetuate scheduling inaccuracies that accumulate over time.
SST founder Teodor Grantcharov said: "Our AI-powered automation eliminates this burden while transforming the entire surgical ecosystem.
“When critical milestones are captured instantly and accurately, downstream activities like room cleaning, setup, and patient preparation can begin immediately, reducing turnover time and maximising our ability to serve more patients when they need us most."
In collaboration with Stanford Medicine, SST has developed and tested an application programming interface (API) that integrates with various EHR systems, regardless of the vendor.
The automated detection system not only improves documentation but also supports real-time communication, expedites room turnover, and enhances patient preparation processes.
Surgical coordinators can now adjust schedules to optimise facility use and reduce wait times for patients. Additionally, the technology's predictive capabilities facilitate proactive deployment of staff and allocation of resources.
Earlier this year, SST revealed its participation in a collaboration with the Mount Sinai Global Surgery Program and the Kyabirwa Surgical Center in Eastern Uganda, aiming to promote healthcare equity.
