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 @UM_MiCHAMP Seminar Series continues on Fri 2/22. Laura Balzano ( from @EECSatMI) presents “Finding Low-Rank Structure in Messy Data” from 2-3:30pm in COE – EECS Room 3316 (1301 Beal Avenue).
For more: https://t.co/2MHG9odGO1

Great session with our clinical design team on solving the mobility problem for our heart failure patients #fcvcinnovation @MeghanJCuddihy @keaglemd

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