Evidence map›Paper›PMID 34003504›Full record

ArticleJournal of advanced nursing2021

Artificial intelligence in nursing: Priorities and opportunities from an international invitational think-tank of the Nursing and Artificial Intelligence Leadership Collaborative.

Charlene Esteban Ronquillo, Laura-Maria Peltonen, Lisiane Pruinelli, Charlene H Chu, Suzanne Bakken, Ana Beduschi, Kenrick Cato, Nicholas Hardiker, Alain Junger, Martin Michalowski and 9 more

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of advanced nursing, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 151 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
151citing papers in PubMed, 8 pooled it
10.8field-weighted citation impact, top 2% of its field
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

151 citing papers in PubMed, 8 syntheses or guidelines pooled it, 340 citations in OpenAlex.

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  8. Impact of Nurse Leaders Behaviors on Nursing Staff Performance: A Systematic Review of Literature.Inquiry : a journal of medical care organization, provision and financing
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91 more citing papers are in PubMed but not listed here.

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

19 authors at 14 institutions in 7 countries.

Charlene Esteban RonquilloDaphne Cockwell School of Nursing, Faculty of Community Services, Ryerson University, Toronto, ON, Canada.ORCID https://orcid.org/0000-0002-6520-1765
Laura-Maria PeltonenInternational Medical Informatics Association, Student and Emerging Professionals Special Interest Group.ORCID https://orcid.org/0000-0001-5740-6480
Lisiane PruinelliSchool of Nursing, University of Minnesota, Minneapolis, MN, USA.ORCID https://orcid.org/0000-0002-1046-6037
Charlene H ChuLawrence S. Bloomberg Faculty of Nursing, University of Toronto, Toronto, ON, Canada.ORCID https://orcid.org/0000-0002-0333-7210
Suzanne BakkenSchool of Nursing, Department of Biomedical Informatics, Data Science Institute, Columbia University, New York, NY, USA.
Ana BeduschiLaw School, University of Exeter, Exeter, UK.ORCID https://orcid.org/0000-0002-8037-5384
Kenrick CatoSchool of Nursing, Department of Biomedical Informatics, Data Science Institute, Columbia University, New York, NY, USA.ORCID https://orcid.org/0000-0002-0704-3826
Nicholas HardikerSchool of Human & Health Sciences, University of Huddersfield, Huddersfield, UK.ORCID https://orcid.org/0000-0002-7629-5664
Alain JungerNursing Direction, Nursing Information System Unit, Centre Hospitalier Universitaire Vaudois (CHUV) Lausanne, Lausanne, Switzerland.ORCID https://orcid.org/0000-0001-8355-0232
Martin MichalowskiSchool of Nursing, University of Minnesota, Minneapolis, MN, USA.ORCID https://orcid.org/0000-0003-2060-5878
Rune NyrupLeverhulme Centre for the Future of Intelligence, University of Cambridge, Cambridge, UK.
Samira RahimiDepartment of Family Medicine, McGill University, Lady Davis Institute for Medical Research of Jewish General Hospital, Mila Quebec Artificial Intelligence Institute, Montreal, QC, Canada.ORCID https://orcid.org/0000-0003-3781-1360
Donald Nigel ReedCollege of Medicine and Health, University of Exeter, Exeter, UK.ORCID https://orcid.org/0000-0002-4479-9227
Tapio SalakoskiDepartment of Mathematics and Statistics, University of Turku, Turku, Finland.
Sanna SalanteräDepartment of Nursing Science, University of Turku and Turku University Hospital, Turku, Finland.ORCID https://orcid.org/0000-0003-2529-6699
Nancy WaltonDaphne Cockwell School of Nursing, Faculty of Community Services, Ryerson University, Toronto, ON, Canada.ORCID https://orcid.org/0000-0002-2606-5940
Patrick WeberNICE Computing SA, Lausanne, Switzerland.ORCID https://orcid.org/0000-0003-4469-0464
Thomas WiegandITU/WHO Focus Group on Artificial Intelligence for Health (FG-AI4H).
Maxim TopazInternational Medical Informatics Association, Student and Emerging Professionals Special Interest Group.ORCID https://orcid.org/0000-0002-2358-9837
American Medical Informatics Association · USUniversity of Exeter · GBUniversity of Minnesota · USUniversity of Turku · FIColumbia University · USEuropean Society for Medical Oncology · CHFraunhofer Institute for Telecommunications, Heinrich Hertz Institute · DEHealth Canada · CAJewish General Hospital · CAPrecision Research (United States) · USUniversity Hospital of Lausanne · CHUniversity of Cambridge · GBUniversity of Huddersfield · GBUniversity of Toronto · CA

Funding

Fondation BrocherLeverhulme Centre for the Future of IntelligenceNatural Sciences and Engineering Research Council (NSERC) 2020-05246Wellcome Trust 213660Wellcome Trust 213660/Z/18/Z
6 · The paper itself

Abstract

aimTo develop a consensus paper on the central points of an international invitational think-tank on nursing and artificial intelligence (AI).

methodsWe established the Nursing and Artificial Intelligence Leadership (NAIL) Collaborative, comprising interdisciplinary experts in AI development, biomedical ethics, AI in primary care, AI legal aspects, philosophy of AI in health, nursing practice, implementation science, leaders in health informatics practice and international health informatics groups, a representative of patients and the public, and the Chair of the ITU/WHO Focus Group on Artificial Intelligence for Health. The NAIL Collaborative convened at a 3-day invitational think tank in autumn 2019. Activities included a pre-event survey, expert presentations and working sessions to identify priority areas for action, opportunities and recommendations to address these. In this paper, we summarize the key discussion points and notes from the aforementioned activities. IMPLICATIONS FOR NURSING: Nursing's limited current engagement with discourses on AI and health posts a risk that the profession is not part of the conversations that have potentially significant impacts on nursing practice.

conclusionThere are numerous gaps and a timely need for the nursing profession to be among the leaders and drivers of conversations around AI in health systems. IMPACT: We outline crucial gaps where focused effort is required for nursing to take a leadership role in shaping AI use in health systems. Three priorities were identified that need to be addressed in the near future: (a) Nurses must understand the relationship between the data they collect and AI technologies they use; (b) Nurses need to be meaningfully involved in all stages of AI: from development to implementation; and (c) There is a substantial untapped and an unexplored potential for nursing to contribute to the development of AI technologies for global health and humanitarian efforts.

Indexed as

Artificial IntelligenceLeadershipHumansTechnologyhealth services researchinformation technologyleadershipmanagementnurse rolespolicypoliticstechnologyworkforce issues

Identifiers

PMID34003504
PMCPMC7612744
OpenAlexW3152594952

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 OpenQuestion graph.