Evidence map›Paper›PMID 36216773›Full record

ArticleJournal of nursing management2022

Is there a gap between artificial intelligence applications and priorities in health care and nursing management?

Yanjiao Chen, Paulo Moreira, Wei-Wei Liu, Michelle Monachino, Thi Le Ha Nguyen, Aihua Wang

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

Article in Journal of nursing management, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
3.4field-weighted citation impact, top 7% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 58 citations in OpenAlex.

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  13. Perspectives on Artificial Intelligence in Nursing in Asia.Asian/Pacific Island nursing journal · 2024
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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

6 authors at 4 institutions in 3 countries.

Yanjiao ChenResearch Center on Social Work and Social Governance in Henan Province, Henan Normal University, Sociology Department, Xinxiang, China.
Paulo MoreiraShandong Provincial Qianfoshan Hospital, Jinan, Shandong, China.ORCID https://orcid.org/0000-0002-3644-1022
Wei-Wei LiuSchool of Social Work, Henan Normal University, Xinxiang, China.
Michelle MonachinoAtlantica Instituto Universitario, Gestao em Saude, Oeiras, Portugal.
Thi Le Ha NguyenVNU University of Medicine and Pharmacy, Vietnam National University, Hanoi, Vietnam.
Aihua WangObstetrics Department, Kunming Maternal and Child Hospital, Kunming, China.
Atlântica Instituto Universitário · PTHenan Normal University · CNVietnam National University, Hanoi · VNYunnan Maternal and Child Health · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThe article aims to outline a contrast between three priorities for nursing management proposed a decade ago and key features of the following 10 years of developments on artificial intelligence for health care and nursing management. This analysis intends to contribute to update the international debate on bridging the essence of health care and nursing management priorities and the focus of artificial intelligence developers.

backgroundArtificial intelligence research promises innovative approaches to supporting nurses' clinical decision-making and to conduct tasks not related to patient interaction, including administrative activities and patient records. Yet, even though there has been an increase in international research and development of artificial intelligence applications for nursing care during the past 10 years, it is unclear to what extent the priorities of nursing management have been embedded in the devised artificial intelligence solutions. EVALUATION: Starting from three priorities for nursing management identified in 2011 in a special issue of the Journal Nursing Management, we went on to identify recent evidence concerning 10 years of artificial intelligence applications developed to support health care management and nursing activities since then. KEY ISSUE: The article discusses to what extent priorities in health care and nursing management may have to be revised while adopting artificial intelligence applications or, alternatively, to what extent the direction of artificial intelligence developments may need to be revised to contribute to long acknowledged priorities of nursing management.

conclusionWe have identified a conceptual gap between both sets of ideas and provide a discussion on the need to bridge that gap, while admitting that there may have been recent field developments still unreported in scientific literature. IMPLICATIONS FOR NURSING MANAGEMENT: Artificial intelligence developers and health care nursing managers need to be more engaged in coordinating the future development of artificial intelligence applications with a renewed set of nursing management priorities.

Indexed as

Artificial IntelligenceNursing CareDelivery of Health CareHumansnursing leadershipnursing management

Identifiers

PMID36216773
PMCPMC10092524
OpenAlexW4304128152

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.