To Do No Harm — and the Most Good — with AI in Health Care

Author:

Goldberg Carey Beth1ORCID,Adams Laura2ORCID,Blumenthal David3ORCID,Brennan Patricia Flatley45ORCID,Brown Noah6ORCID,Butte Atul J.7ORCID,Cheatham Morgan8ORCID,deBronkart Dave910ORCID,Dixon Jennifer11ORCID,Drazen Jeff12ORCID,Evans Barbara J.13ORCID,Hoffman Sara M.6ORCID,Holmes Chris1415ORCID,Lee Peter16ORCID,Manrai Arjun Kumar612ORCID,Omenn Gilbert S.17ORCID,Perlin Jonathan B.18ORCID,Ramoni Rachel19ORCID,Sapiro Guillermo2021ORCID,Sarkar Rupa22ORCID,Sood Harpreet2324ORCID,Vayena Effy25ORCID,Kohane Isaac S.6ORCID

Affiliation:

1. Massachusetts Institute of Technology, Cambridge

2. National Academy of Medicine, Washington, DC

3. Department of Health Policy and Management, Harvard University T.H. Chan School of Public Health, Boston

4. National Library of Medicine, Bethesda, MD

5. University of Wisconsin–Madison, Madison

6. Department of Biomedical Informatics, Harvard Medical School, Boston

7. Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco

8. Warren Alpert Medical School of Brown University, Providence, RI

9. e-Patient Dave, LLC

10. Society for Participatory Medicine, Pembroke, MA

11. The Health Foundation, London

12. NEJM Group, Waltham, MA

13. Levin College of Law and Wertheim College of Engineering, University of Florida, Gainesville

14. Department of Statistics and Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom

15. The Alan Turing Institute, London

16. Microsoft Corporation, Redmond, WA

17. University of Michigan Health System, University of Michigan, Ann Arbor, MI

18. The Joint Commission, Oakbrook Terrace, IL

19. U.S. Department of Veterans Affairs, Washington, DC

20. Duke University, Durham, NC

21. Apple, New York

22. The Lancet Ltd., Lancet Digital Health, London

23. National Health Service England, Hurley Group, Redditch, United Kingdom

24. Huma, London

25. ETH Zurich, Zurich, Switzerland

Publisher

Massachusetts Medical Society

Reference7 articles.

1. World Health Organization. Regulatory considerations on artificial intelligence for health. 2023 (https://iris.who.int/handle/10665/373421).

2. Coalition for Health AI. Blueprint for trustworthy AI implementation guidance and assurance for healthcare. December 7 2022 (https://www.coalitionforhealthai.org/papers/Blueprint%20for%20Trustworthy%20AI.pdf).

3. GOV.UK. Policy paper: the Bletchley Declaration by countries attending the AI Safety Summit 1–2 November 2023. November 1 2023 (https://www.gov.uk/government/publications/ai-safety-summit-2023-the-bletchley-declaration/the-bletchley-declaration-by-countries-attending-the-ai-safety-summit-1-2-november-2023).

4. The Commonwealth Fund. The electronic health record problem. December 13 2018 (https://www.commonwealthfund.org/blog/2018/electronic-health-record-problem).

5. STANDING Together Working Group. STANDING Together. 2023 (https://www.datadiversity.org).

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