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Review
. 2022 Jan 12;46(2):12.
doi: 10.1007/s10916-021-01790-z.

Trustworthy Augmented Intelligence in Health Care

Elliott Crigger  1 , Karen Reinbold  2 , Chelsea Hanson  2 , Audiey Kao  2 , Kathleen Blake  2 , Mira Irons  2
Affiliations
Review

Trustworthy Augmented Intelligence in Health Care

Elliott Crigger et al. J Med Syst. .

Abstract

Augmented Intelligence (AI) systems have the power to transform health care and bring us closer to the quadruple aim: enhancing patient experience, improving population health, reducing costs, and improving the work life of health care providers. Earning physicians' trust is critical for accelerating adoption of AI into patient care. As technology evolves, the medical community will need to develop standards for these innovative technologies and re-visit current regulatory systems that physicians and patients rely on to ensure that health care AI is responsible, evidence-based, free from bias, and designed and deployed to promote equity. To develop actionable guidance for trustworthy AI in health care, the AMA reviewed literature on the challenges health care AI poses and reflected on existing guidance as a starting point for addressing those challenges (including models for regulating the introduction of innovative technologies into clinical care).

Keywords: Accountability; Augmented intelligence/artificial intelligence; Equity/access to care; Ethics; Health care innovation; Standards.

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Conflict of interest statement

The authors have no financial or other conflicts of interest to declare relevant to the content of this manuscript.

References

    1. American Medical Association. Artificial Intelligence in Medicine. https://www.ama-assn.org/amaone/augmented-intelligence-ai. Accessed 6 Aug 2020.
    1. Bodenheimer T, Sinsky C. From triple to quadruple aim: Care of the patient requires care of the provider. Ann Fam Med. 2014;12(6):573–576. doi: 10.1370/afm.1713. - DOI - PMC - PubMed
    1. Merriam-Webster. Trustworthy. https://www.merriam-webster.com/dictionary/trustworthy. Accessed 6 Aug 2020.
    1. Obermeyer Z, Powers B, Vogeli C, Mullainathan S. Dissecting racial bias in an algorithm used to manage the health of populations. Science. 2019;366(6464):477–453. doi: 10.1126/science.aax2342. - DOI - PubMed
    1. Pellegrino ED. Toward a reconstruction of medical morality. J Med Humanities. 1987;8(1):7–18. - PubMed