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  • April 2022
  • Article
  • NEJM Catalyst Innovations in Care Delivery

AI Insurance: How Liability Insurance Can Drive the Responsible Adoption of Artificial Intelligence in Health Care

By: Ariel Dora Stern, Avi Goldfarb, Timo Minssen and W. Nicholson Price II
  • Format:Electronic
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Abstract

Despite enthusiasm about the potential to apply artificial intelligence (AI) to medicine and health care delivery, adoption remains tepid, even for the most compelling technologies. In this article, the authors focus on one set of challenges to AI adoption: those related to liability. Well-designed AI liability insurance can mitigate predictable liability risks and uncertainties in a way that is aligned with the interests of health care’s main stakeholders, including patients, physicians, and health care organization leadership. A market for AI insurance will encourage the use of high-quality AI, because insurers will be most keen to underwrite those products that are demonstrably safe and effective. As such, well-designed AI insurance products are likely to reduce the uncertainty associated with liability risk for both manufacturers—including developers of software as a medical device—and clinician users and thereby increase innovation, competition, adoption, and trust in beneficial technological advances.

Keywords

Artificial Intelligence; Medicine; Health Care and Treatment; Legal Liability; Insurance; Technology Adoption; AI and Machine Learning

Citation

Stern, Ariel Dora, Avi Goldfarb, Timo Minssen, and W. Nicholson Price II. "AI Insurance: How Liability Insurance Can Drive the Responsible Adoption of Artificial Intelligence in Health Care." NEJM Catalyst Innovations in Care Delivery 3, no. 4 (April 2022).
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About The Author

Ariel D. Stern

Technology and Operations Management
→More Publications

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    • February 2023
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    The Brigham and Women’s Hospital Innovation Hub: Driving Internal Innovation

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    • 2023
    • JAMA, the Journal of the American Medical Association

    Association Between Regulatory Submission Characteristics and Recalls of Medical Devices Receiving 510(k) Clearance

    By: Alexander O. Everhart, Soumya Sen, Ariel D. Stern, Yi Zhu and Pinar Karaca-Mandic
    • 2022
    • Faculty Research

    Post-market Surveillance of Software Medical Devices: Evidence from Regulatory Data

    By: Alexander O. Everhart and Ariel D. Stern
More from the Authors
  • The Brigham and Women’s Hospital Innovation Hub: Driving Internal Innovation By: Ariel Dora Stern, Robert S. Huckman and Sarah Mehta
  • Association Between Regulatory Submission Characteristics and Recalls of Medical Devices Receiving 510(k) Clearance By: Alexander O. Everhart, Soumya Sen, Ariel D. Stern, Yi Zhu and Pinar Karaca-Mandic
  • Post-market Surveillance of Software Medical Devices: Evidence from Regulatory Data By: Alexander O. Everhart and Ariel D. Stern
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