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 Sean Meyer, MBA. He is a doctoral student researching the use of predictive modeling in clinical early warning systems.
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Getting ready for the second installation of #AI_BookClub discussing Weapons of Math Destruction by Cathy O'Neal. It should be a great discussion on bias and inequality in the age of AI. @bnallamo @venkmurthy @kdpsinghlab @joyclee @iwashyna @Michael__Mathis @JeremySussman

New article on glucocorticoid prescribing from @BethIWallace, @ProfHayward , @KenSaag , @AkbarWaljee
https://t.co/CNpy8si4WQ

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