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The client, healthcare technology solution provider, is dedicated to elevating the standards of surgical procedures and patient care within operating rooms (OR). Facing challenges such as prolonged turnover times and inefficient procedural workflows, they sought innovative solutions to streamline operations and enhance safety.
With a commitment to leveraging cutting-edge technologies, the client aimed to harness the power of artificial intelligence (AI) to optimize OR efficiency, ensuring smoother procedure flows and improved operational outcomes. Their collaboration with Codvo.ai underscores a shared vision for integrating advanced AI capabilities to address critical healthcare challenges, thereby setting new benchmarks in surgical excellence and patient care.
Facing the critical challenge of enhancing surgical efficiency, our client sought to streamline workflow in operating rooms (ORs). The task involved accurately detecting activities within the OR, including the timely arrival of doctors and patients, initiation of procedures, and ensuring patient preparation, all while maximizing operational efficiency.
This required a solution capable of reducing turnover times and facilitating smoother procedure flows without compromising the quality of patient care. The complexity of the operating room environment, combined with the need for precision and speed, underscored the necessity for an innovative approach that could seamlessly integrate with existing OR workflows.
Our team proposed an integrated AI solution utilizing state-of-the-art Edge Box technology, powered by NVIDIA GPU RTX 4090. This setup allowed us to support over 10+ camera feeds simultaneously, providing comprehensive coverage of the OR. Our multi-faceted approach included:
- Facial Detection and Recognition: To identify personnel and ensure only authorized individuals were present.
- Human Pose Estimation in 2D and 3D: For monitoring movement and ensuring compliance with surgical protocols.
- Object Detection: To keep track of surgical items, ensuring they are properly used and accounted for.
- Segmentation for Anonymization: Protecting patient privacy by anonymizing individuals in video feeds.
We leveraged both cloud and edge computing to manage AI models developed by the client’s R&D team, enabling real-time processing of video streams. This infrastructure provided insights into OR activities, including average surgery durations, types of surgeries performed, and specific procedural steps.
Furthermore, our client application facilitated administrative processes and camera allocation, allowing for seamless operational workflow optimization and enhanced patient care.
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Tech stack used: React, GCP, Kubernetes, Redis, Keycloak, FEK, PostgreSQL, GitHub actions and terraform.
-Our system could process 5 minutes of HD quality video at 10 frames per second with impressive speeds, significantly reducing the time required for video analysis.
-Our solution supported up to 30+ cameras, allowing for extensive monitoring capabilities even at peak operational times.
-The insights provided by our solution enabled the client to significantly reduce turnover times, optimize workflow, and improve overall surgical efficiency.
-By streamlining OR operations, our solution contributed to a safer, more efficient surgical environment, ultimately leading to better patient outcomes.
