Recommendations for Clinicians, Technologists, and Healthcare Organizations on the Use of Generative Artificial Intelligence in Medicine: A Position Statement from the Society of General Internal Medicine.
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| Title: | Recommendations for Clinicians, Technologists, and Healthcare Organizations on the Use of Generative Artificial Intelligence in Medicine: A Position Statement from the Society of General Internal Medicine. |
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| Authors: | Crowe B; Division of General Internal Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA. bcrowe@bidmc.harvard.edu.; Harvard Medical School, Boston, MA, USA. bcrowe@bidmc.harvard.edu., Shah S; Department of Medicine, Stanford University, Palo Alto, CA, USA.; Division of Primary Care and Population Health, Stanford Healthcare AI Applied Research Team, Stanford University School of Medicine, Palo Alto, CA, USA., Teng D; Division of General Internal Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA.; Harvard Medical School, Boston, MA, USA., Ma SP; Division of Hospital Medicine, Stanford, CA, USA., DeCamp M; Department of Medicine, University of Colorado, Aurora, CO, USA., Rosenberg EI; Division of General Internal Medicine, Department of Medicine, University of Florida College of Medicine, Gainesville, FL, USA., Rodriguez JA; Harvard Medical School, Boston, MA, USA.; Division of General Internal Medicine, Brigham and Women's Hospital, Boston, MA, USA., Collins BX; Division of General Internal Medicine and Public Health, Vanderbilt University Medical Center, Nashville, TN, USA.; Department of Biomedical Informatics, Vanderbilt University, Nashville, TN, USA., Huber K; Department of Internal Medicine, Kaiser Permanente, Denver, CO, School of Medicine, University of Colorado, Aurora, CO, USA., Karches K; Department of Internal Medicine, Saint Louis University, Saint Louis, MO, USA., Zucker S; Department of Internal Medicine, University of Miami Miller School of Medicine, Jackson Memorial Hospital, Miami, FL, USA., Kim EJ; Northwell Health, New Hyde Park, NY, USA., Rotenstein L; Divisions of General Internal Medicine and Clinical Informatics, Department of Medicine, University of California at San Francisco, San Francisco, CA, USA., Rodman A; Division of General Internal Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA.; Harvard Medical School, Boston, MA, USA., Jones D; Division of General Internal Medicine, Emory University School of Medicine, Atlanta, GA, USA., Richman IB; Section of General Internal Medicine, Yale School of Medicine, New Haven, CT, USA., Henry TL; Division of General Internal Medicine, Emory University School of Medicine, Atlanta, GA, USA., Somlo D; Harvard Medical School, Boston, MA, USA.; Department of Medicine, Massachusetts General Hospital, Boston, MA, USA., Pitts SI; Division of General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA., Chen JH; Stanford Center for Biomedical Informatics Research, Stanford, CA, USA.; Division of Hospital Medicine, Stanford, CA, USA.; Clinical Excellence Research Center, Stanford, CA, USA., Mishuris RG; Harvard Medical School, Boston, MA, USA.; Division of General Internal Medicine, Brigham and Women's Hospital, Boston, MA, USA.; Digital, Mass General Brigham, Somerville, MA, USA. |
| Source: | Journal of general internal medicine [J Gen Intern Med] 2025 Feb; Vol. 40 (3), pp. 694-702. Date of Electronic Publication: 2024 Nov 12. |
| Publication Type: | Journal Article; Consensus Statement; Research Support, N.I.H., Extramural |
| Journal Info: | Publisher: Springer Country of Publication: United States NLM ID: 8605834 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1525-1497 (Electronic) Linking ISSN: 08848734 NLM ISO Abbreviation: J Gen Intern Med Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1525-1497 |
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| DOI: | 10.1007/s11606-024-09102-0 |
