The Development of Telelearning as an Effort to Improve Nurses’ Readiness to Adopt Artificial Intelligence

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Authors: Reni Asmara Ariga, Fatwa Imelda, Herriyance Herriyance, Edianto Edianto, Fajar Amanah Ariga, Selviani Ariga, Sri Budi Astuti, Hijrah Purnama Sari Ariga, Gabriela Marline Br Pasaribu, Tiki Anugraini Pasaribu, Ghina Faras Syifa
Cited by: 1
References: 22

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.

Fields of Study & Subjects

Artificial Intelligence in Healthcare and Education E-Learning and COVID-19 Simulation-Based Education in Healthcare

Publication details

Journal / source
Journal of Patient Experience
Publisher
SAGE Publications
Volume
13
Pages
23743735261461920–23743735261461920
Publication date
1 July 2026
Language
EN