ArticleJournal of patient experience2026
The Development of Telelearning as an Effort to Improve Nurses' Readiness to Adopt Artificial Intelligence.
Article in Journal of patient experience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Determinants of Mobile Learning Behavioral Intention Usage Among Nurses: A Nexus of UTAUT2 Model and Information System Success Model.Journal of nursing management · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The digital transformation of healthcare is driving the integration of Artificial Intelligence (AI) into clinical practice. Although telelearning is widely used in digital learning strategy, empirical evidence regarding its relationship with nurses' readiness to adopt AI remains limited. This study aims to identify the level of telelearning development and nurses' readiness to adopt AI, as well as to analyze the relationship in a Ministry of Health Hospital. A quantitative cross-sectional study involved 219 clinical nurses through census sampling. Univariate analysis and Spearman's rho were used. Most respondents fell into high category for telelearning development (58.9%) and readiness to adopt AI (59.4%). There was a significant positive correlation between telelearning development and readiness to adopt AI (ρ=0.485; p=0.001). These findings indicate that a well-developed telelearning environment is associated with higher levels of AI readiness among nurses. Study limitations include the cross-sectional design and the use of self-report instruments. The recommendations should evaluate AI literacy modules integrated into telelearning, digital mentorship, AI policy co creation, and nursing curriculum revisions incorporating AI ethics and digital competency standards.
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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.