Article: Race, Ethnicity, and Language Data: Standardization for Health Care Quality Improvement

Cures, Language, Open Data, Open Health, Procedures (Medical)

Race, Ethnicity, and Language Data: Standardization for Health Care Quality Improvement

Addressing health and health care disparities requires the full involvement of organizations that have an existing infrastructure for quality measurement and improvement. Although hospitals, community health centers (CHCs), physician practices, health plans, and local, state, and federal agencies can all play key roles by incorporating race, ethnicity, and language data into existing data collection and quality reporting efforts, each faces opportunities and challenges in attempting to achieve this objective.

To identify the next steps toward improving data collection, it is helpful to understand these opportunities and challenges in the context of current practices. In some instances, the opportunities and challenges are unique to each type of organization; in others, they are common to all organizations and include:

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