AI-powered remote patient monitoring for the operating room

The challenge

Anesthesiologists generally provide care for several patients at once, making it difficult to continually monitor multiple patients in different operating rooms. Vigilant Medical Solutions designed a remote monitoring app – the first of its kind – that allows anesthesiologists to monitor the vital signs of multiple patients simultaneously.

Vigilant approached us to refine the user interface and improve the app’s performance. To display vital signs accurately from multiple monitors, Vigilant needed an advanced machine learning model that could extract and transcribe clinically meaningful data into accurate metrics from multiple operating rooms – all onto a single smartphone screen.

Remote monitoring in hospitals

Justin Scott, M.D., a board-certified anesthesiologist, envisioned a mobile app that could enable anesthesia teams to monitor multiple surgical patients simultaneously. As an anesthesiologist within a large hospital network, Dr. Scott understood the challenges associated with overseeing vital signs of multiple patients at once.

To improve operating room surveillance and accelerate clinician intervention, we needed to build and apply a machine learning model that could accurately transcribe data from various types of operating room monitors to a physician’s mobile device in real time.

Results

Through advanced machine learning models, we transformed the Guardian app prototype into a fully developed remote monitoring app that can transmit patient vital signs in real time with 99.9% accuracy.

The Guardian app – the first of its kind – is now available to hospitals and anesthesia teams throughout the nation. The app allows clinicians to continuously track vital signs of multiple patients simultaneously, accelerates clinician intervention, decreases liability exposure, and improves patient outcomes.