Our Data Science team has developed an advanced analytics platform that captures high-fidelity physiological waveform data from critical care patient beds at the University of Michigan. We're able to harness the power of 'big data' and digital technologies for developing and testing clinical decision support (CDS) tools. Our patient data includes waveforms, nurse validated vitals, labs, and medications from University of Michigan hospitals including 400 beds at the University Hospital and 200 beds at Mott’s Children’s Hospital. The MCIRCC Data Platform captures real-time data, performs a certified de-identification process, and stores the de-identified data on the Cloud for MCIRCC member research use.

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Our data scientists also have years of experience building analytical models for a wide array of applications. You can leverage our machine learning expertise to tackle your big data problems.

Whether you want to utilize our data, or you already have your own, our expert data scientists can work with you to gain maximum insight. We offer several distinct Data Science services including:

  • Providing members access to custom MCIRCC tools that allow our members to create cohorts and annotate waveforms.

  • Pulling de-identified cohort data for MCIRCC members.

  • Creating custom analytics as part of grants in which we are written.

  • Analyzing and building models using data from DataDirect or other clinical data warehouses

Additionally, if you have your own data that you would like our Data Scientists to analyze, please contact us so we can assess your needs and determine how we can help.

For more information contact:
Phil Jacokes
Managing Director, MCIRCC

Data Science Services Headlines