Evidence map›Paper›PMID 38268252›Full record

ArticleNursing open2024

Advancing nursing practice with artificial intelligence: Enhancing preparedness for the future.

Moustaq Karim Khan Rony, Mst Rina Parvin, Silvia Ferdousi

Open access · goldAbstract read
In one paragraph

Article in Nursing open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 87 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
87citing papers in PubMed, 4 pooled it
6.0field-weighted citation impact, top 3% 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

87 citing papers in PubMed, 4 syntheses or guidelines pooled it, 158 citations in OpenAlex.

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  3. The Role of AI in Nursing Education and Practice: Umbrella Review.Journal of medical Internet research · 2025
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27 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

3 authors at 3 institutions in 2 countries.

Moustaq Karim Khan RonyMaster of Public Health, Bangladesh Open University, Gazipur, Bangladesh.ORCID 0000-0002-6905-0554
Mst Rina ParvinMajor of Bangladesh Army, Combined Military Hospital, Dhaka, Bangladesh.
Silvia FerdousiInternational University of Business Agriculture and Technology, Dhaka, Bangladesh.
Bangladesh Open University · BDCombined Military Hospital · PKInternational University of Business Agriculture and Technology · BD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThis article aimed to explore the role of AI in advancing nursing practice, focusing on its impact on readiness for the future. DESIGN AND

methodsA position paper, the methodology comprises three key steps. First, a comprehensive literature search using specific keywords in reputable databases was conducted to gather current information on AI in nursing. Second, data extraction and synthesis from selected articles were performed. Finally, a thematic analysis identifies recurring themes to provide insights into AI's impact on future nursing practice.

resultsThe findings highlight the transformative role of AI in advancing nursing practice and preparing nurses for the future, including enhancing nursing practice with AI, preparing nurses for the future (AI education and training) and associated, ethical considerations and challenges. AI-enabled robotics and telehealth solutions expand the reach of nursing care, improving accessibility of healthcare services and remote monitoring capabilities of patients' health conditions.

Indexed as

Nursing CareRoboticsArtificial IntelligenceDatabases, FactualEducational StatusHumansartificial intelligencefuturehealthcarenursing practicepatient outcomespreparedness

Identifiers

PMID38268252
PMCPMC10733565
OpenAlexW4390056019

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.