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
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Our latest featured MiCHAMP member is Dr. Don Likosky, Ph.D. He is a health services researcher and quality improvement expert in the Department of Cardiac Surgery.
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Join us this Friday 2-3PM for the @UM_MiCHAMP Big Data & AI in Health Seminar Series with @VickersBiostats & @Tufts_PACE presenting "How Do You Know Your Model is Not Harming Patients?" The Case for Measures of Clinical Utility. @ESteyerberg moderating. https://michamp.med.umich.edu/events-seminars/

.@statnews recently produced a report on the promise and peril of AI in healthcare (link: https://www.statnews.com/promise-and-peril/) funded by @commonwealthfnd.

I'll be reflecting on some of their findings and share our experience at @umichmedicine.

Join us: https://marketing.statnews.com/artificial-intelligence-transforming-health

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