The Future of Nursing Education : Necessary Elements and Implementation Strategies for Learning Artificial Intelligence
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.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:71 |
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| Enthalten in: |
Hu li za zhi The journal of nursing - 71(2024), 2 vom: 31. März, Seite 26-33 |
| Sprache: |
Chinesisch |
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| Beteiligte Personen: |
Lin, Cheng-Pei [VerfasserIn] |
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| Links: |
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| Themen: |
Artificial intelligence (AI) |
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| Anmerkungen: |
Date Completed 28.03.2024 Date Revised 28.03.2024 published: Print Citation Status MEDLINE |
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| doi: |
10.6224/JN.202404_71(2).05 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| 520 | |a 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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