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 Featured MiCHAMP member is Dr. Michael Mathis. He is the director for cardiac anesthesiology research at the University of Michigan and a practicing cardiac anesthesiologist.
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The next MiChamp Seminar: “An Overview of the MIDAS Single Cell Data Analysis Center: Analysis, Modeling, and Applications" presented by Anna Gilbert and Jun Li on 12/14 2-3:30 in @UM_IHPI Collaboratory. @ARC_UM https://t.co/2MHG9odGO1

This Thursday, 12/13, Sardar Ansari presents Deep Learning Tools for Pattern Discovery in Electronic Health Records (live stream available) @UMichMCIRCC https://t.co/B66qtD1nxB

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