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Opportunities for incorporating intersectionality into biomedical informatics.

Oliver J Bear Don't Walk1, Amandalynne Paullada1, Avery Everhart2

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|May 11, 2024
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Summary
This summary is machine-generated.

Biomedical informatics (BMI) research can be improved by using intersectionality, a framework that examines how social systems of privilege and oppression impact health. Applying this lens can lead to more effective health interventions and social change.

Keywords:
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Area of Science:

  • Biomedical Informatics
  • Public Health
  • Sociology

Background:

  • Biomedical informatics (BMI) research often focuses on data manipulation for health outcomes.
  • Existing BMI approaches may not fully address systemic drivers of health inequities.
  • Intersectionality offers a framework to analyze complex socio-structural influences on health.

Purpose of the Study:

  • To propose intersectionality as an intervention to enhance BMI research.
  • To explore how intersectionality can stimulate new avenues in BMI research.
  • To advocate for BMI research that addresses systemic inequities and promotes social change.

Main Methods:

  • Review of intersectionality's history and core principles relevant to BMI.
  • Elaboration on the potential applications of intersectionality in BMI research.
  • Identification of five key considerations for integrating intersectionality into BMI.

Main Results:

  • Intersectionality provides a lens to understand health through the interplay of privilege and oppression.
  • Applying intersectionality can reveal nuances in health outcomes within diverse groups.
  • BMI research can be advanced by considering systemic factors, upstream drivers, and social change.

Conclusions:

  • Integrating intersectionality into BMI research is crucial for addressing health disparities.
  • BMI efforts should account for the interrelated nature of health drivers and societal structures.
  • Future BMI research should leverage intersectionality to inform policy and drive social change for improved health.