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An online experiment to assess bias in professional medical coding.

Jacqueline M TorresDanielle Hessler-JonesCarol YarbroughAdam TapleyRaemarie JimenezLaura M Gottlieb
Published in: BMC medical informatics and decision making (2019)
We found limited evidence of bias in professional medical coding practice by patient age and gender, though findings were inconsistent across medical conditions. Low levels of observed bias may reflect medical coding workflow and training practices. Future research is needed to better understand bias in coding and to identify effective and generalizable bias prevention practices.
Keyphrases
  • healthcare
  • primary care