Evidence map›Paper›PMID 41843896›Full record

ReviewComputers, informatics, nursing : CIN2026

Inflection Point: Artificial Intelligence, Digital Health, and the Evolution of Pre-Licensure Nursing Informatics Competencies.

Mollie R Cummins, Seneca Perri Moore, Katherine A Sward

Abstract readReview
In one paragraph

Review in Computers, informatics, nursing : CIN, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

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

1 citing paper in PubMed.

  1. 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

3 authors.

Mollie R CumminsCollege of Nursing, University of Utah, Salt Lake City, UT.ORCID 0000-0001-7078-8479
Seneca Perri MooreCollege of Nursing, University of Utah, Salt Lake City, UT.ORCID 0000-0002-7230-8421
Katherine A SwardCollege of Nursing, University of Utah, Salt Lake City, UT.ORCID 0000-0002-6568-4031

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent advancements in artificial intelligence, telehealth, and sensor technologies have fundamentally transformed health care, creating an urgent need to update and revise nursing informatics competencies for pre-licensure education. The purpose of this narrative, non-systematic review is to (1) describe and characterize the evolution of pre-licensure nursing informatics competencies; (2) discuss the central phenomena driving current digital transformation in health care; and (3) discuss future directions to evolve pre-licensure nursing informatics competency frameworks in an era of digital health. We conducted multiple literature searches in support of the narrative review. Current pre-licensure nursing informatics competency frameworks require evolution, given the new knowledge and skills needed for nurses to engage with rapidly advancing digital health technologies. The review reveals the need for a fifth wave of competency development that prepares nurses as informed users, contributors, evaluators, and stewards of digital health tools. We must advance nursing informatics education to meet the workforce needs of the digital health era by building on a robust foundation of past competency development efforts.

Indexed as

Artificial IntelligenceClinical CompetenceNursing InformaticsDigital HealthEducation, Nursing, BaccalaureateHumansArtificial intelligenceBaccalaureate nursing educationDigital healthNursing informaticsTelemedicine

Identifiers

PMID41843896
PMCPMC13143369

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.