Cited by 8Artificial Intelligence in Healthcare and EducationInnovations in Medical EducationArtificial Intelligence in Education

The future of nursing: navigating the AI revolution through education and training

Baker Stein, Marni, Jones-Schenk, Jan·2024·The Journal of Continuing Education in Nursing

Abstract

Artificial intelligence is becoming a fundamental technology in health care, nursing, and education. Understanding how to navigate this advanced technology is critically important for clinical nursing staff as well as educators. Basic professional nursing education is increasingly using artificial intelligence solutions for teaching and learning. For experienced clinical staff, new learning is required, and professional development leaders are key to leading nurses in this new future. [ J Contin Educ Nurs. 2024;55(3):108-109.] .

Integrity signals

Registry

Crossref · 10.3928/00220124-20240221-03

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Authors
Baker Stein, M., & Jones-Schenk, J.
Venue
The Journal of Continuing Education in Nursing
Publisher
SLACK, Inc.
Published
2024-03
Volume
55
Issue
3
Pages
108-109
ISSN
0022-0124 (ISSN-L)
OpenAlex
W4392281296
Cited by
8
References
0
Citations by year
2026: 2 · 2025: 4 · 2024: 2
FWCI
0.74
Type
journal article
Language
en
Open access
closed
Locations
  • The Journal of Continuing Education in Nursing (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Innovations in Medical Education
  • Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
Keywords
artificial intelligence in nursing, nursing education, clinical nurses, professional development, continuing education, clinical staff training
MeSH terms
Artificial Intelligence, Educational Status, Humans, Learning, Nursing Staff, Technology

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

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