Study evaluates the effectiveness of predictive AI in healthcare settings, identifies shortcomings
Editor's Note Implementing predictive AI models in healthcare settings can alter the baseline assumptions the models were trained on in ways that cause the models to perform worse, according to a recent simulation study published on October 6 by the Annals of Internal Medicine. The study analyzed 130,000 critical care…
AI, analytics help match anesthesia supply to surgical demand
While demand for OR services can be unpredictable, supply is largely fixed—well below the baseline for many hospitals and health systems. The ability to match supply and demand within perioperative services is critical to efficient ORs, as hospitals and health systems must operate with constrained staffing and anesthesia resources. On…
Preventing culture shock with a new approach to block time
The passage of the Health Information Technology for Economic and Clinical Health (HITECH) Act in 2009 brought electronic health records (EHR) to the forefront, but the concept existed long before that. Larry Weed and Jan Schultz at the University of Vermont developed a preliminary system in the 1970s. In 2014,…
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