In this episode, Mudit Garg discusses the evolution of Qventus and how they are applying AI to help hospitals and health systems in managing their operations with real-time predictions for improved care delivery.
With a focus on patient flow automation, Qventus helps hospitals and health systems in reducing the length of stay and other operational metrics. Based on early insights that machine learning models and prediction scores can be confusing to users in the absence of an accountability engine, the company has developed an interdisciplinary approach, augmenting AI with behavioral science principles to drive sustained improvements in healthcare operations.
The Big Unlock · Paul Yi, MD, Associate Member in Radiology, Section Chief of Intelligent Imaging Informatics (I3), St. Jude Children's Research Hospital In...
In this episode, Grace Kitzmiller of AWS and Dr. Michael Snyder of Stanford University’s School of Medicine discuss AWS’ Diagnostic Development Initiative (DDI), a...
In this episode, Giovanni Monti discusses his current role and how the digital healthcare innovation group at Walgreens is focused on bringing new and...