病理信息学协会的诉讼 训练营2023年:伦理,公平和法规
Michelle R Stoffel1, Amrom E Obstfeld2, Brian R Jackson3
1Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA.
Journal of pathology informatics
|June 19, 2025
概括
病理信息学训练营为居民提供有关病理信息学基本道德,公平和法规的培训. 这确保了人工智能在病理学和实验室医学中的安全和有效使用.
科学领域:
- 病理学 信息学 信息学
- 医疗信息学 医疗信息学
- 数字病理学数字病理学
背景情况:
- 病理信息学是一个快速发展的领域.
- 人工智能 (AI) 越来越多地融入了病理学和实验室医学.
- 实习生需要对核心和新兴信息学主题的最新知识.
研究的目的:
- 为病理学学员提供有关病理学信息学的伦理,公平和法规的知识.
- 强调这些主题在AI病理学背景下的重要性.
- 将课程映射到病理学信息学居民必需品大纲.
主要方法:
- 年度病理信息学训练营课程开发.
- 专注于与病理信息学相关的伦理,公平和法规.
- 讲座涵盖数据使用,公平的数据应用和监管合规性.
主要成果:
- 2023年训练营的重点是人工智能在病理学和实验室医学中的应用.
- 课程涉及临床实验室的数据使用和数字病理学.
- 会议涵盖了公平的数据使用和临床决策支持,认证和结果管理规定的实际应用.
结论:
- 训练营提高了学员对关键信息学原则的理解.
- 强调伦理,公平和法规对于在病理学中实施人工智能至关重要.
- 信息学原则的明智应用支持安全和有效的患者护理.
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