Skip to main content
Past Event

Charting a Course for Health Care Quality Improvement: Data-Driven Strategies for Eliminating Health Disparities

As our nation continues to pursue comprehensive health care reform, the need to improve health care quality and achieve equitable care for all Americans remains a critical issue that must be addressed. High-quality health care is seldom consistently distributed across populations, and vulnerable groups – such as racial, ethnic, and linguistic minorities – are more likely to be negatively affected by disparities in health care.

On March 25, the Engelberg Center for Health Care Reform hosted a national conference to begin to address health care quality issues faced by vulnerable communities. Key stakeholders came together to:

  • Advance strategies for improved data collection, integration, and utilization activities, as well as disparities measurement to promote health care equity; and
  • Identify best practices for collecting and reporting race, ethnicity, and primary language data, as well as determine practical, consensus-driven steps to measure and use these data to improve quality of care.


Luncheon Keynote: Using Data to Improve Quality

Breakout Session D - Generating Quality Reports: Challenges and Opportunities


Ernest Moy

Agency for Healthcare Research and Quality

Breakout Session E - Community Strategies on Data Dissemination and Use

Breakout Session F - Setting Standards: Current Efforts to Increase Health Care Equity

Closing Plenary - Incentivizing Quality: Promoting Equity in the Quality Improvement Enterprise

Closing Remarks

Mark B. McClellan

Former Brookings Expert

Director, Margolis Center for Health Policy - Duke University

Welcome and Introductory Remarks

Mark B. McClellan

Former Brookings Expert

Director, Margolis Center for Health Policy - Duke University

Opening Presentation: Placing Equity in the Context of Health Care Quality

Opening Keynote

Opening Plenary - Measuring Equity: Considerations for Standardizing Race, Ethnicity, and Language Data

Breakout Session A - Making the Business Case for Measuring and Addressing Disparities

Breakout Session B - Making Meaningful Users of Health IT to Advance Equity in Care


Ruth Perot

Summit Health Institute for Research and Education, Inc.

Breakout Session C - Indirect Estimation as an Interim Strategy for Better Data Reporting and Use

More Information

To subscribe or manage your subscriptions to our top event topic lists, please visit our event topics page.

Get a weekly events calendar from Brookings