Top Ten Tips Palliative Care Clinicians Should Know About the Future of Artificial Intelligence
Artificial intelligence (AI) is transforming health care and has implications for palliative care (PC) and serious illness communication (SIC). This article integrates interdisciplinary and interprofessional expertise, providing key tips for PC clinicians to best leverage AI-driven tools to enhance PC practices, care efficiency, and patient- and family-centered outcomes. AI-driven tools range from predictive analytics to improve intervention delivery to AI-assisted communication and documentation of goals of care. Beyond these potential benefits are important ethical, logistical, and equity considerations that must be carefully addressed.
Authors
- William E. Rosa (ORCID: https://orcid.org/0000-0002-0680-8911)
- Karl B. Bezak (ORCID: https://orcid.org/0000-0002-6240-8031)
- Monica Consolandi (ORCID: https://orcid.org/0000-0002-1516-1953)
- Gilad J. Kuperman (ORCID: https://orcid.org/0000-0002-4130-1577)
- Jacob J. Strand (ORCID: https://orcid.org/0000-0001-8978-2034)
- Mihir Kamdar
- Pragat Patel (ORCID: https://orcid.org/0000-0001-8999-4061)
- Shunichi Nakagawa (ORCID: https://orcid.org/0000-0002-4612-8689)
- Raj Patel
- Craig D. Blinderman (ORCID: https://orcid.org/0000-0002-8905-0666)
- Judith E. Nelson (ORCID: https://orcid.org/0000-0003-3624-3111)
- Nicolas Burry
Institutions
- Mayo Clinic (US)
- Memorial Sloan Kettering Cancer Center (US)
- Johns Hopkins University (US)
- Fondazione Bruno Kessler (IT)
- Columbia University Irving Medical Center (US)
- Massachusetts General Hospital (US)
- University of Pittsburgh Medical Center (US)
- University of Pennsylvania (US)
Publication Details
- Journal
- Journal of Palliative Medicine
- Published
- 2025-09-19
- DOI
- https://doi.org/10.1177/10966218251366117
- Primary Topic
- Identity, Memory, and Therapy
- Type
- article
- Field-Weighted Citation Impact
- 0.00