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Information Loss in Harmonizing Granular Race and Ethnicity Data: Descriptive Study of Standards.

Karen H WangHolly K Grossetta NardiniLori Ann PostTodd L EdwardsMarcella Nunez-SmithCynthia A Brandt
Published in: Journal of medical Internet research (2020)
This analysis exposes the fundamental informatics challenges that current race and ethnicity data standards present to meaningful collection, organization, and dissemination of granular data about subgroup populations in diverse and marginalized communities. Current standards should reflect the science of measuring race and ethnicity and the need for multidisciplinary teams to improve evolving standards throughout the data life cycle.
Keyphrases
  • electronic health record
  • big data
  • life cycle
  • public health
  • deep learning
  • phase iii