• Cheryl R Clark, Consuelo Hopkins Wilkins, Jorge A Rodriguez, Anita M Preininger, Joyce Harris, Spencer DesAutels, Hema Karunakaram, Kyu Rhee, David W Bates, and Irene Dankwa-Mullan.
• Brigham and Women's Hospital, Boston, USA.
• J Gen Intern Med. 2021 Oct 1; 36 (10): 3188-3193.

AbstractThe integration of advanced analytics and artificial intelligence (AI) technologies into the practice of medicine holds much promise. Yet, the opportunity to leverage these tools carries with it an equal responsibility to ensure that principles of equity are incorporated into their implementation and use. Without such efforts, tools will potentially reflect the myriad of ways in which data, algorithmic, and analytic biases can be produced, with the potential to widen inequities by race, ethnicity, gender, and other sociodemographic factors implicated in disparate health outcomes. We propose a set of strategic assertions to examine before, during, and after adoption of these technologies in order to facilitate healthcare equity across all patient population groups. The purpose is to enable generalists to promote engagement with technology companies and co-create, promote, or support innovation and insights that can potentially inform decision-making and health care equity.© 2021. The Author(s).

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