Presentation (Times are in PDT)

Identifying and Analyzing Inequity in Quality Care

1:35 PM–1:55 PM May 21, 2020 (Conference Time: US - Pacific)

1:35 PM–1:55 PM May 21, 2020


Abstract: The first step in addressing inequity in quality care is identifying it. UChicago Medicine had tracked quality measures through an organizational scorecard for over 8 years but was only able to identify potential inequity in these measures through separate ad-hoc requests. In 2019, with an enhancement to the underlying data architecture and expansion of the existing scorecard, we are now able to identify differences in quality performance across many different patient populations. We will discuss how Microsoft SQL Server and Tableau were leveraged to accomplish this work. This presentation will also highlight the importance of data quality in equity analysis.

Describe the new knowledge and additional skills the participant will gain after attending your presentation.: This session walks through the approach that UChicago Medicine is taking to appropriately identify potential inequities in quality of care between different patient populations. The data architecture and visualization will be presented to provide attendees the first steps to analyzing potential inequities in care within their own health system. This work will also highlight the importance of data quality and completeness for equity analysis.


Mark Connolly (Presenter)
UChicago Medicine

Mary Kate Springman, UChicago Medicine