AI maturity in health care: An overview of 10 OECD countries

Castonguay, Alexandre; Wagner, Gerit; Motulsky, Aude; Paré, Guy

doi:10.1016/j.healthpol.2023.104938

Cited by 1 publication

(1 citation statement)

References 21 publications

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“…As shown in Table 2 , in nursing education, the integration of AI promises improved learning outcomes and an overall elevation in the quality of training by allowing personalized learning experiences [ 28 - 30 ]. Through intricate algorithms, educational content can be tailored to resonate with individual student needs, accounting for their unique strengths, weaknesses, and learning styles.…”

Section: Applications Of Ai In Nursingmentioning

confidence: 99%

Perspectives on Artificial Intelligence in Nursing in Asia

Lukkahatai,

Han

2024

Asian Pac Isl Nurs J

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Artificial intelligence (AI) is reshaping health care, including nursing, across Asia, presenting opportunities to improve patient care and outcomes. This viewpoint presents our perspective and interpretation of the current AI landscape, acknowledging its evolution driven by enhanced processing capabilities, extensive data sets, and refined algorithms. Notable applications in countries such as Singapore, South Korea, Japan, and China showcase the integration of AI-powered technologies such as chatbots, virtual assistants, data mining, and automated risk assessment systems. This paper further explores the transformative impact of AI on nursing education, emphasizing personalized learning, adaptive approaches, and AI-enriched simulation tools, and discusses the opportunities and challenges of these developments. We argue for the harmonious coexistence of traditional nursing values with AI innovations, marking a significant stride toward a promising health care future in Asia.

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Section: Applications Of Ai In Nursingmentioning

confidence: 99%