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The Development of Telelearning as an Effort to Improve Nurses' Readiness to Adopt Artificial Intelligence
Reni Asmara Ariga1, Fatwa Imelda1, Herriyance Herriyance2
1Department of Fundamental Nursing, Faculty of Nursing, Universitas Sumatera Utara, Medan, Indonesia.
None:
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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