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Record W4413920242 · doi:10.1055/a-2648-4914

Teaching Informatics Competencies within Nursing Education: A Scoping Review of Teaching Strategies

2025· review· en· W4413920242 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueApplied Clinical Informatics · 2025
Typereview
Languageen
FieldHealth Professions
TopicElectronic Health Records Systems
Canadian institutionsUniversité de SherbrookeUniversity of AlbertaOkanagan CollegeInstitute for Work & HealthAdministrative Sciences Association of CanadaOkanagan University CollegeUniversity of British Columbia, Okanagan CampusUniversity of Toronto
Fundersnot available
KeywordsHealth informaticsCINAHLInformaticsHealth Administration InformaticsNurse educationCurriculumNursingMedical educationMEDLINEHealth careMedicinePublic health informaticsEngineering informaticsPsychologyHealth educationPedagogyPolitical science

Abstract

fetched live from OpenAlex

As healthcare delivery becomes increasingly digital, nursing informatics knowledge has become essential for nurses to participate effectively in digitally enabled healthcare environments. The Canadian Association of Schools of Nursing (CASN) released updated nursing informatics entry-to-practice competencies in 2025 to inform nursing education in Canada. However, the integration of informatics knowledge and content into nursing curricula and professional practice education remains inconsistent. Mapping the teaching strategies used by nursing educators to support these competencies is a necessary step toward understanding current educational practices.To identify teaching strategies currently employed to support the development of nursing informatics knowledge and competencies in undergraduate, graduate, and professional nursing education.The search strategy included six electronic databases: Scopus, Web of Science, CINAHL, ERIC, Embase, and Medline. Key search terms were synonyms and combinations of "informatics competencies," "nursing informatics," and "education." Articles were included if they specifically described nursing informatics competencies and how they were taught to nursing students and practicing nurses. The papers were independently reviewed by two reviewers, and a thematic analysis was conducted to identify teaching strategies.A total of 120 publications were included in the scoping review. Seven strategies to teach nursing informatics were identified: (1) integration of electronic health records into laboratory simulations; (2) integration of informatics competency frameworks; (3) accessing online educational resources; (4) integration of mobile technologies; (5) informatics- competent educators; (6) integrating patient safety and data ethics; and (7) interdisciplinary collaboration.There is an urgent need to align nursing education with the rapid rise of technologies to prepare nurses for safe, competent, and person-centered digital care. This review highlights diverse, CASN-aligned teaching strategies that support informatics competency development across all levels of nursing education. The findings offer practical guidance for educators and inform cirriculum planning and professional practice education in digitally-enabled environments.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.019
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.436
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0190.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0070.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.009
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.194
GPT teacher head0.597
Teacher spread0.403 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it