A Penn LDI blog post by Christine Weeks featuring CHIBE affiliate Ravi Parikh, MD, MPP, FACP
"Research by Dr. Ravi Parikh has shown that a machine-learning algorithm that identifies patients at higher risk of dying within a shorter time—in combination with behavioral nudges—can increase the rate at which doctors conduct serious illness conversations. Dr. Parikh built on that work in a New England Journal of Medicine AI study that examined how the machine learning-based behavioral intervention designed to motivate serious illness conversations affected health care spending at the end of life among patients who died. Among the 957 patients in the intervention group, the savings amounted to $13,747 for every patient who died, and more than $13 million in cumulative savings." Read the LDI story here.
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