Case studies
Streamlining operating room workflows with edge box solution for enhanced efficiency
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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.
Codvo.ai embarked on a project with a healthcare innovator aiming to elevate operating room (OR) efficiency through cutting-edge artificial intelligence (AI). The project's cornerstone was the deployment of an AI solution to streamline OR workflows, reduce turnover times, and enhance procedural flow without compromising patient care or safety. Utilizing Edge Box technology and NVIDIA's RTX 4090 GPUs, the solution provided real-time video stream processing and insights into OR activities. This enabled the client to make informed decisions on surgical operations, ensuring a seamless integration between technology and healthcare services for optimized OR efficiency and patient outcomes.
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.
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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:
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.
Tech stack used: React, GCP, Kubernetes, Redis, Keycloak, FEK, PostgreSQL, GitHub actions and terraform.
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