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Racism and Electronic Health Records (EHRs): Perspectives for research and practice
Srinivas Emani1,2, Jorge A Rodriguez1, David W Bates1
1Division of General Internal Medicine and Primary Care, Department of Medicine, Brigham & Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
This study addresses racism in electronic health records (EHRs), highlighting structural racism
Area of Science:
- Health Informatics
- Health Equity Research
- Social Determinants of Health
Background:
- Racism in electronic health records (EHRs) implementation and use is an emerging area of informatics research.
- Existing work has begun to expose structural racism but lacks comprehensive inclusion of racism concepts.
- Racial and ethnic disparities in health are fundamentally driven by structural racism.
Purpose of the Study:
- To classify racism at individual, organizational, and structural levels within health informatics.
- To provide recommendations for future research, practice, and policy to address racism in EHRs.
- To emphasize the ethical obligation of informaticians to address racism and promote health equity.
Main Methods:
- Literature review and conceptual analysis of racism in health informatics.
- Classification of racism into individual, organizational, and structural levels.
- Development of recommendations based on identified gaps and ethical considerations.
Main Results:
- Identified a lack of inclusion of racism concepts in current EHR research.
- Proposed a three-level classification of racism (individual, organizational, structural).
- Outlined key recommendations for addressing racism in EHRs.
Conclusions:
- Informaticians have an ethical duty to confront racism in EHRs.
- Addressing structural racism requires capturing and utilizing social determinants of health data.
- Increasing workforce diversity and minority scholar participation is crucial for advancing health equity in informatics.
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