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[The Future of Nursing Education: Necessary Elements and Implementation Strategies for Learning Artificial Intelligence].
Lin, Cheng-Pei; Chen, Yu-Chi; Chen, Lu-Yen Anny.
Afiliación
  • Lin CP; PhD, RN, Assistant Professor, Institute of Community Health Care, National Yang Ming Chiao Tung University, Taiwan, ROC.
  • Chen YC; PhD, RN, Professor, Institute of Clinical Nursing, National Yang Ming Chiao Tung University, Taiwan, ROC.
  • Chen LA; PhD, RN, Assistant Professor, Institute of Clinical Nursing, National Yang Ming Chiao Tung University, Taiwan, ROC. annychen@nycu.edu.tw.
Hu Li Za Zhi ; 71(2): 26-33, 2024 Apr.
Article en Zh | MEDLINE | ID: mdl-38532672
ABSTRACT
As populations age, average life expectancy increases and the complexity of diseases rises, leading to nursing care and healthcare systems facing severe challenges related to inadequate resources. Artificial intelligence (AI), including elements such as investigation, integration, learning, prediction, and decision-making, holds significant potential for application in clinical care not only to enhance care quality but also to help guide the future direction of healthcare. AI applications are already being increasingly utilized to improve the quality of clinical care and to streamline workflows. However, because nursing education has lagged behind in terms of adopting AI, greater attention must be given to training up nursing students with AI-related knowledge and application skills. AI technologies should be integrated into nursing curricula and clinical internships to adapt to the rapidly changing high-tech healthcare environment, enabling the more-effective use of AI technology in providing high-quality and safe nursing care.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Educación en Enfermería Límite: Humans Idioma: Zh Revista: Hu Li Za Zhi Año: 2024 Tipo del documento: Article Pais de publicación:

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Educación en Enfermería Límite: Humans Idioma: Zh Revista: Hu Li Za Zhi Año: 2024 Tipo del documento: Article Pais de publicación: