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Trustworthy Augmented Intelligence in Health Care.

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Title: Trustworthy Augmented Intelligence in Health Care.
Authors: Crigger, Elliott1 Elliott.Crigger@ama-assn.org, Reinbold, Karen1, Hanson, Chelsea1, Kao, Audiey1, Blake, Kathleen1, Irons, Mira1
Source: Journal of Medical Systems. Feb2022, Vol. 46 Issue 2, p1-11. 11p. 3 Charts.
Subjects: Health policy, Health services accessibility, Artificial intelligence, Medical care, Physicians' attitudes, Cost control, Work-life balance, Patients, Responsibility, Conceptual structures, Quality assurance, Population health, Trust, Bioethics, Diffusion of innovations, American Medical Association, Medical education
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). [ABSTRACT FROM AUTHOR]
Copyright of Journal of Medical Systems is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: 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). [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Journal of Medical Systems is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1007/s10916-021-01790-z
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        Text: English
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        PageCount: 11
        StartPage: 1
    Subjects:
      – SubjectFull: Health policy
        Type: general
      – SubjectFull: Health services accessibility
        Type: general
      – SubjectFull: Artificial intelligence
        Type: general
      – SubjectFull: Medical care
        Type: general
      – SubjectFull: Physicians' attitudes
        Type: general
      – SubjectFull: Cost control
        Type: general
      – SubjectFull: Work-life balance
        Type: general
      – SubjectFull: Patients
        Type: general
      – SubjectFull: Responsibility
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      – SubjectFull: Conceptual structures
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      – SubjectFull: Quality assurance
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      – SubjectFull: Population health
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      – SubjectFull: Trust
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      – SubjectFull: Diffusion of innovations
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      – SubjectFull: American Medical Association
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      – SubjectFull: Medical education
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      – TitleFull: Trustworthy Augmented Intelligence in Health Care.
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              Text: Feb2022
              Type: published
              Y: 2022
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