人工智能在加强专业间教育和协作实践中的作用:混合方法范围审查
Lucas Hu1, Geoff Argus2,3, Roi Charles Pineda4
1Rural Clinical School, The University of Queensland, Toowoomba, Queensland, Australia.
Journal of interprofessional care
|December 5, 2025
概括
人工智能 (AI) 可以通过改善沟通和决策来增强医疗保健中的专业间教育和协作实践 (IPECP). 克服临床医生不信任和数据安全等障碍对于人工智能集成至关重要.
科学领域:
- 医疗保健教育 医疗保健教育
- 人工智能的人工智能
- 专业间合作 专业间合作
背景情况:
- 跨专业教育和协作实践 (IPECP) 对于有效的医疗保健服务至关重要.
- 人工智能 (AI) 的整合为增强IPECP提供了新的机会.
- 现有的框架,比如加拿大跨专业健康协作能力框架,指导IPECP的发展.
研究的目的:
- 审查人工智能在加强IPECP在医疗保健机构中的作用.
- 评估AI支持IPECP核心能力的能力.
- 识别人工智能应用及其对跨专业团队合作和医疗保健成果的影响.
主要方法:
- 采用了一个范围审查方法.
- 一项全面的文献搜索确定了自2010年以来发表的15项相关研究.
- 包括探索人工智能应用的研究,如VR模拟,临床决策支持和机器学习.
主要成果:
- 人工智能应用显示出在促进团队沟通,实时决策和个性化,基于证据的建议方面的潜力.
- 人工智能可以通过一致的,数据驱动的洞察力来支持专业间的教育.
- 确定的主要障碍包括临床医生的不信任,数据安全问题和整合挑战.
结论:
- 人工智能有很大的潜力来推进IPECP和改善医疗保健结果.
- 需要进一步的研究,以使人工智能应用与特定的IPECP能力保持一致.
- 解决已识别的障碍对于成功将人工智能整合到标准医疗保健实践中至关重要.
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