Harnessing Data to Unveil Discoveries and Transform Health

MiCHAMP members conversing
MiCHAMP brings together faculty investigators from multiple U-M schools and colleges and is affiliated with the Institute for Healthcare Policy and Innovation (IHPI). The primary goal of this multidisciplinary research collaborative is to harness existing national, regional and local healthcare data sets to develop medical prediction models that address complex clinical problems. Through rich interactions with data science methodologists, informaticians, and clinical researchers, investigative teams aim to transform patient care to improve quality and decrease healthcare costs.

Featured Members
Our Featured MiCHAMP member is Dr. Jeremy Sussman. He is a primary care doctor, clinical epidemiologist, and health services researcher whose research interests include management and prevention of common diseases.
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New editorial by @Michael__Mathis, @sachinkheterpal & Kayvan Najarian. Artificial Intelligence for Anesthesia: What the Practicing Clinician Needs to Know: More than Black Magic for the Art of the Dark https://t.co/nflEkOUvUL

Don’t touch that link: Machine learning and the war on phishing https://t.co/hYPXgHJYDU

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