Canonical text (the exact bytes fingerprinted)

TRUVACE RECORD VERSION
record: TRV-2026-2279
version: 1
kind: certified
reason: Certified into the record
timestamp: 2026-10-27T06:45:28.688540Z
status: published
lens: g_space
sector: health
headline: Artificial Intelligence in Advance Care Planning for Older Adults in the United States: A Scoping Review
dek: Purpose To explore how artificial intelligence (AI) tools support advance care planning (ACP) for older adults by enabling opportunities for timely ACP conversations and improving visibility and retrievability of ACP documentation. Method Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews guidelines, we searched PubMed, Scopus, and Web of Science for peer-reviewed studies published between January 2018 and August 2025, applying inclusion criteria focuse…
gain_title: Across the ten studies reviewed, AI tools were associated with increased advance care planning documentation and higher rates of goals of care discussions for older adults.
problem_title: (none)
trace_subject: (none)
gain_reading: Across the ten studies reviewed, AI tools were associated with increased advance care planning documentation and higher rates of goals of care discussions for older adults.
gain_evidence: Outcomes included increased ACP documentation and higher rates of goals of care discussions.
problem_reading: (none)
problem_evidence: (none)
quick_read: A scoping review searched three research databases for US studies published between January 2018 and August 2025 on AI in advance care planning for older adults. Of 45 studies screened, ten met the inclusion criteria, covering predictive risk models, language-processing and generative AI tools, and one ambient or wearable system.

The findings suggest AI could help prompt conversations about care wishes earlier and make completed documents easier to find. The authors stress that equitable, transparent implementation remains essential, and a scoping review maps the literature rather than proving that the tools improve care.
limitation: The authors say AI only 'may' improve ACP timing and documentation, and note equitable, transparent implementation remains essential, so the evidence is tentative and based on just ten included studies.
tag: Evidence-backed gain
key_points: Ten of 45 screened studies met the inclusion criteria. | Five studies used predictive risk models. | Four studies used natural language processing or generative AI. | One study examined an ambient or wearable system. | Reported outcomes included more ACP documentation and more goals of care discussions.
rundown: The review followed the PRISMA extension for scoping reviews and searched PubMed, Scopus, and Web of Science. It restricted inclusion to peer-reviewed studies on AI, advance care planning, and US older adult populations.

The aim was to examine how AI tools create opportunities for timely advance care planning conversations and improve the visibility and retrievability of ACP documentation in records.

The authors conclude that AI may increase the timing and documentation of ACP, while emphasizing that implementation must be equitable and transparent to be appropriate.
sources:
- peer_reviewed | Journal of Gerontological Nursing | https://doi.org/10.3928/00989134-20261020-02 | 2026-10-26
prev: 0000000000000000000000000000000000000000000000000000000000000000

sha256

e01a7ff9de3cc3ca4645dcd493d04351999d1de964fb37179ecbcfae91863337

previous

0000000000000000000000000000000000000000000000000000000000000000