Litcius/Paper detail

Trustworthy Augmented Intelligence in Health Care

Elliott Crigger, Karen Reinbold, Chelsea Hanson, Audiey Kao, Kathleen Blake, Mira Irons

2022Journal of Medical Systems126 citationsDOIOpen Access PDF

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).

Topics & Concepts

Health informaticsTrustworthinessHealth careComputer scienceInternet privacyData scienceNursingMedicinePublic healthPolitical scienceLawArtificial Intelligence in Healthcare and EducationEthics in Clinical ResearchHealthcare cost, quality, practices