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Gender representation in U.S. biomedical informatics leadership and recognition.

Ashley C GriffinTiffany I LeungJessica D TenenbaumArlene E Chung
Published in: Journal of the American Medical Informatics Association : JAMIA (2021)
Quantifying gender inequity should inform data-driven strategies to foster diversity and inclusion. Standardized collection and surveillance of demographic data within biomedical informatics is necessary.
Keyphrases
  • electronic health record
  • big data
  • mental health
  • public health
  • machine learning
  • artificial intelligence
  • data analysis