How Policy Drives Information Technology

Presented by: Martin Kosla, Johncia March, Justin Bielak & Susan Stephan | Michigan Data Collaborative


The Michigan Data Collaborative (MDC) is a data collection, enrichment, and provisioning group at the University of Michigan.

We collect and aggregate statewide clinical and claims data from multiple payers, apply measures, and provide analytic tools, dashboards, and reports. Our services enable physician organizations, practices, and practitioners to better monitor and improve performance.

By blending the skills of both our technical and analytical teams, we support data-driven healthcare transformation to approximately 40 physician organizations and 20,000 providers that help to manage over 1.7 million patients across the state of Michigan.

This poster will describe how healthcare policy at both federal and state levels drives data aggregation, reporting, and analysis as well as the creation of IT infrastructure to support this work.

Additionally, we will highlight how our infrastructure allowed us to quickly integrate Admit, Discharge, and Transfer (ADT) data and rapidly perform an analysis on race and geographical disparities in patients with COVID-19. The results were visualized using Tableau and helped support early identification efforts being done by our partners at Blue Cross Blue Shield of Michigan and continues to provide value in tracing the impact of the pandemic across the state.

Poster Session

  • Poster Session 1: Tuesday


  • Current trends/topics/projects

Area(s) of Focus

  • Knowledge
  • Diversity, Equity, & Inclusion (DEI)