Trackimed

As hospitals face a global shortage of Registered Nurses (RN),rising hospital-care costs, and increasing pressure to maintain high-quality care by minimizing human error, Tracki is being developed to act as an extra pair of eyes and ears in the OR. It will provide a real-time, comprehensive view and support advanced decision-making for the OR team. We are training Tracki to mimic the observational and analytical skills of a human nurse, leveraging AI precision to automate and optimize surgical workflows, enhancing safety in the dynamic, high-pressure OR environment TrackiMed harnesses advanced Computer Vision technology to capture, identify, and track intricate details within the complex, cluttered surgical setting. To validate our approach, we have successfully conducted an initial proof of concept at Sheba Medical Center, where we manually demonstrated our ability to capture and track objects in the OR's sterile field. We are currently working on developing robust algorithms that will enable Tracki to recognize and monitor deformable objects and seamlessly integrate them into surgical workflows. Additionally, our platform will incorporate Natural Language Processing (NLP) to accurately process and analyze both verbal and written clinical communications in real-time, providing actionable insights for the OR team. By automating routine RN tasks and integrating real-time tracking, Tracki aims to reduce human error, boost efficiency, and cut hospital costs. Our goal is to ensure that every OR procedure meets the highest operational standards of patient care.