Evidence mapPaperPMID 41739499Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2026

Bridging the governance gap in health artificial intelligence: integrating nursing perspectives into the National Academy of Medicine Artificial Intelligence Code of Conduct.

Michael P Cary, Regina G Russell, Christina Silcox, Kay S Lytle, Lisa Soleymani Lehmann, Maia Hightower, Nicoleta Economou-Zavlanos, Vincent Guilamo-Ramos

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Michael P CaryDuke University School of Nursing, Durham, NC 27710, United States.
Regina G RussellVanderbilt University School of Nursing, Nashville, TN 37203, United States.
Christina SilcoxDuke-Margolis Institute for Health Policy, Washington, DC 20001, United States.
Kay S LytleDuke University Health System, Durham, NC 27710, United States.
Lisa Soleymani LehmannVA New England Healthcare System, Bedford, MA 01730, United States.
Maia HightowerEquality AI, Park City, UT 84060, United States.
Nicoleta Economou-ZavlanosDepartment of Biostatistics & Bioinformatics, Duke University, Durham, NC 27710, United States.ORCID 0009-0000-4078-9809
Vincent Guilamo-RamosJohns Hopkins School of Nursing, Baltimore, MD 21205, United States.

Funding

National Institutes of Health-National Institute of Nursing Research 5R25NR021365-02NIH HHSNINR NIH HHS 5R25NR021365-02
6 · The paper itself

Abstract

background and approachIn 2025, the National Academy of Medicine released an Artificial Intelligence Code of Conduct (AICC). In this commentary, we examine how the AICC introduces governance mechanisms to oversee AI applications and how it can support the ethical development and responsible use of AI in healthcare, paying special attention to the role of nurses.

findingsOne shortcoming of the AICC is its lack of explicit acknowledgment of nurses, which risks obscuring their indispensable role in the safe, equitable, and effective use of AI in healthcare. We offer practical steps for health leaders to operationalize the AICC.

conclusionImplementation of the AICC can support robust AI governance in health systems, but nurse expertise must be incorporated. The AICC offers a framework into which nursing perspectives can be embedded to ensure that AI tools positively transform healthcare delivery and enhance the quality and equity of care.

Indexed as

Artificial IntelligenceCodes of EthicsEthics, NursingNurse's RoleDelivery of Health CareHumansNational Academies of Science, Engineering, and Medicine, U.S., Health and Medicine DivisionUnited Statesartificial intelligencedelivery of healthcarenurses

Identifiers

PMID41739499
PMCPMC13127644

What Socratic holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.