在早期临床责任下进行研究生通用实践培训:关于基于系统的监督和人工智能的支持作用的叙事审查
Christian J Wiedermann1, Giuliano Piccoliori1, Pietro Murali1
1Institute of General Practice and Public Health, Claudiana-College of Health Professions, 39100 Bolzano, Italy.
Healthcare (Basel, Switzerland)
|February 27, 2026
概括
基于系统的监督和人工智能工具提高了研究生通用实践培训的质量和安全性,超越了传统的学徒制. 这种方法支持面临劳动力短缺的初级保健机构的学员.
科学领域:
- 医学教育 医学教育
- 主要护理改革的第一步是
- 医疗卫生工作人员发展发展.
背景情况:
- 由于劳动力短缺和政策改革,初级保健正在经历重大转型.
- 意大利的第77/2022号法令强调社区中心和延长护理模式.
- 在南蒂罗尔的研究生通用实践培训涉及早期临床责任的学员.
研究的目的:
- 在一般实践中审查传统的基于学徒的培训.
- 探索基于系统的监督和人工智能 (AI) 作为提高培训质量和安全的战略.
- 研究意大利初级保健改革对研究生教育的影响.
主要方法:
- 采用了叙事审查方法.
- 关于研究生通用实践教育,监督自主和人工智能工具的文献和政策进行了综合.
- 在PubMed和Consensus平台上进行了搜索,重点关注意大利初级保健改革和南蒂罗尔,并使用SANRA指导分析了证据.
主要成果:
- 培训质量更依赖于结构化,基于系统的监督框架,而不是个人监督员.
- 在初级保健机构中,早期监督的临床自主性在强大的监督和团队结构的支持下加快能力发展.
- 由人工智能支持的工具可以增强反和评估,但应与人类监督一起使用.
结论:
- 基于系统的,以能力为导向的监督模式优于传统的学徒制,特别是在资源有限的环境中.
- 一般医生领导的初级保健机构为研究生培训提供了最佳的学习环境.
- 人工智能可以支持监督,但专业监督对于保持研究生医学教育的质量和安全至关重要.
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