Implicit Bias and Machine Learning in Health Care

Authors: Danish Zaidi, MD, MTS, MBE, Taylor Miller, MD, MPhil


Machine learning (ML) has the ability to both address and entrench racial bias in healthcare delivery. Through the use of algorithms incorporating demographic data and electronic health records, we have achieved an efficient and consistent process by which to make complex (and simple) medical decisions. The onus, however, is on our medical community to ensure that such streamlining does not exacerbate the existing problem of racial bias in healthcare delivery, a concern that has come to the forefront in light of recent protests around racial justice and a pandemic that has underscored racial disparities in health outcomes.

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