Evidence map›Paper›PMID 39794874›Full record

ReviewInternational nursing review2025

The evolving role of nursing informatics in the era of artificial intelligence.

Abdulqadir J Nashwan, Jc A Cabrega, Mutaz I Othman, Mahmoud Abdelwahab Khedr, Yasmine M Osman, Ayman Mohamed El-Ashry, Rami Naif, Ahmad A Mousa

Registry-linked trialAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in International nursing review, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07134374 (Investigation of the Relationship Between Nurses' Attitudes Toward Artificial Intelligence and Their Critical Thinking Dispositions), which is not on this map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
–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.

NCT07134374 completednot on this map

Investigation of the Relationship Between Nurses' Attitudes Toward Artificial Intelligence and Their Critical Thinking Dispositions

TypeobservationalSponsorTC Erciyes UniversityRan2025 to 2025Enrolled294ConditionsNurses
3 · Its place in the literature

Who cites it

35 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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.

Abdulqadir J NashwanAssistant Executive Director of Nursing and Midwifery Research Nursing and Midwifery Research Department, Hamad Medical Corporation, Doha, Qatar.ORCID https://orcid.org/0000-0003-4845-4119
Jc A CabregaInformatics Nurse, Nursing Informatics Department, Hamad Medical Corporation, Doha, Qatar.ORCID https://orcid.org/0009-0001-2540-2837
Mutaz I OthmanCharge Nurse, Nursing Department, Hamad Medical Corporation, Doha, Qatar.ORCID https://orcid.org/0009-0001-5435-3296
Mahmoud Abdelwahab KhedrFaculty of Nursing, Alexandria University, Alexandria, Egypt, Alexandria University, Alexandria, Egypt.ORCID https://orcid.org/0000-0003-3437-3764
Yasmine M OsmanDepartment of Obstetrics and Gynaecology Nursing, Faculty of Nursing, Zagazig University, Zagazig, Egypt.ORCID https://orcid.org/0000-0002-6726-5770
Ayman Mohamed El-AshryFaculty of Nursing, Alexandria University, Alexandria, Egypt.ORCID https://orcid.org/0000-0001-7718-4942
Rami NaifSenior Manager Consulting Services, Oracle, Dubai, UAE.
Ahmad A MousaNursing Researcher & Lecturer, Edith Cowan University, Western Australia, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThis narrative review explores the integration of artificial intelligence (AI) into nursing informatics and examines its impact on nursing practice, healthcare delivery, education, and policy.

backgroundNursing informatics, which merges nursing science with information management and communication technologies, is crucial in modern healthcare. The emergence of AI presents opportunities to improve diagnostics, treatment, and healthcare resource management. However, integrating AI into nursing practice also brings challenges, including ethical concerns and the need for specialized training. SOURCES OF EVIDENCE: A comprehensive literature search was conducted from January 2013 to December 2023 using databases like PubMed, Google Scholar, and Scopus. Articles were selected based on their relevance to AI's role in nursing informatics, particularly in enhancing patient care and healthcare efficiency. DISCUSSION: AI significantly enhances nursing practice by improving diagnostic accuracy, optimizing care plans, and supporting resource allocation. However, its adoption raises ethical issues, such as data privacy concerns and biases within AI algorithms. Ensuring that nurses are adequately trained in AI technologies is essential for safe and effective integration. IMPLICATIONS FOR NURSING PRACTICE AND POLICY: Policymakers should promote AI literacy programs for healthcare professionals and develop ethical guidelines to govern the use of AI in healthcare. This will ensure that AI tools are implemented responsibly, protecting patient rights and enhancing healthcare outcomes.

conclusionAI offers promising advancements in nursing informatics, leading to more efficient patient care and improved decision-making. Nonetheless, overcoming ethical challenges and ensuring AI literacy among nurses are critical steps for successful implementation.

Indexed as

Artificial IntelligenceNursing InformaticsHumansAI literacyartificial intelligenceclinical decision supportdata privacyethicshealthcarehealth policynursing informaticsnursing practicepatient care

Identifiers

PMID39794874
PMCPMC11723855

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.