Clinical decision instruments (CDIs) face an equity dilemma. On the one hand, they often reduce disparities in patient care through data-driven standardization of best practices. On the other hand, this standardization may itself inadvertently perpetuate bias and inequality within healthcare systems. Here, we quantify different measures of potential for implicit bias present in CDI development that can inform future CDI development. We find evidence for systematic bias in the development of 690 CDIs that underwent validation through various analyses: self-reported participant demographics are skewed—e.g. 73% of participants are White, 55% are male; investigator teams are geographically skewed—e.g. 52% in North America, 31% in Europe; CDIs use predictor variables that may be prone to bias—e.g. 13 CDIs explicitly use Race and Ethnicity; outcome definitions may further introduce bias—e.g. 28% of CDIs involve follow-up, which may disproportionately skew outcome representation based on socioeconomic status. As CDIs become increasingly prominent in medicine, we recommend that these factors are considered during development and clearly conveyed to clinicians using CDIs.

The authors have declared no competing interest.

Research reported in this publication was supported by Eunice Kennedy Shriver National Institute of Child Health and Human Development of the National Institutes of Health under award number K23HD110716 (AK). This information or content and conclusions are those of the author and should not be construed as the official position or policy of, nor should any endorsements be inferred by HRSA, HHS or the U.S. Government.

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