Authors: | Patel, P.; Patel, R.; Kuperman, G.; Consolandi, M.; Collett, D.; Nakagawa, S.; Burry, N.; Bezak, K. B.; Strand, J.; Kamdar, M.; Nelson, J. E.; Rosa, W. E.; Blinderman, C. D. |
Title: | Top ten tips palliative care clinicians should know about the future of generative intelligence |
Abstract: | 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. |
Keywords: | palliative care; artificial intelligence; implementation; decision-support; electronic health record; artificial-intelligence; serious illness communication; ai-driven tools; generative intelligence |
Journal Title: | Journal of Palliative Medicine |
ISSN: | 1096-6218 |
Publisher: | Mary Ann Liebert, Inc |
Publication status: | Online ahead of print |
Date Published: | 2025-08-16 |
Online Publication Date: | 2025-08-16 |
Language: | English |
ACCESSION: | WOS:001552779400001 |
DOI: | 10.1177/10966218251366117 |
PROVIDER: | wos |
PUBMED: | 40824746 |
Notes: | Article; Early Access -- Source: Wos |