人工智能在未来医生的培训系统中
Anatoliy V Vykhrushch1, Nadiya Ya Oliynyk1, Tetyana V Hariyan1
1I.HORBACHEVSKY TERNOPIL NATIONAL MEDICAL UNIVERSITY, TERNOPIL, UKRAINE.
概括
人工智能 (AI) 通过优化员工和患者信息管理和安排,可以简化医疗机构的行政任务. 这提高了医疗保健组织和医学教育的效率.
科学领域:
- 医疗教育 技术 技术 医学教育
- 医疗保健中的人工智能
- 数字化健康转型
背景情况:
- 人工智能 (AI) 的整合正在改变各种行业,包括医学教育和医疗保健管理.
- 加强未来医生的培训需要对教育流程的创新方法和对"健康"等核心概念的明确理解.
- 高等医学院的数字化转型需要评估AI在学术和临床环境中的作用.
研究的目的:
- 分析人工智能在医学教育和医疗管理中的潜力.
- 通过使用人工智能驱动的解决方案,改善未来医生的教育过程.
- 在专业医疗环境中研究"健康"概念及其监管影响.
主要方法:
- 在PubMed,Scopus,Web of Science和谷歌学者中进行系统的文献搜索.
- 包括来自机构存储库和政策文件的灰色文献.
- 关键词包括"人工智能"",医学教育"",医疗保健中的人工智能"",数字化转型",重点关注2018-2025年出版物.
主要成果:
- 人工智能在医疗机构组织行政工作方面显示出巨大潜力.
- 人工智能可以优化员工和患者信息的管理.
- 人工智能有助于安排与专家的沟通,并优化整体运营时间表.
结论:
- 人工智能为医疗机构的行政运作提供了巨大的好处.
- 人工智能的应用可以带来更有效的资源和人员管理.
- 人工智能工具可以改善医疗保健和医疗培训的后勤方面.
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