4 Steps for Hospitals to Collect Race, Ethnicity, Language Data

Collecting accurate race, ethnicity and language data is the first step toward using REAL data to reduce healthcare disparities, according to a report by the American Hospital Association’s Health Research & Educational Trust and Hospitals in Pursuit of Excellence.

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The report, “Reducing Health Care Disparities: Collection and Use of Race, Ethnicity and Language Data,” is part of the Equity of Care initiative, which seeks to eliminate healthcare disparities. Here is a four-step approach to collecting accurate, actionable race, ethnicity and language (or REAL) data from the report:

1. Determine the appropriate data categories.
2. Develop a methodology for data collection.
3. Train staff members on methodology for data collection.
4. Assign accountability and monitor progress of data collection efforts.

More Articles on Healthcare Disparities:

10 Statistics on the State of Healthcare Quality, Equity
HHS’ New Standards Aim to Reduce Healthcare Disparities
Commission Urges Ambulatory Practices to Collect Demographic Data

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