在健康专业教育中数据共享和大数据:太华共识声明和奖学金建议
Kulamakan Mahan Kulasegaram1, Lawrence Grierson2, Cassandra Barber3
1Wilson Centre & Department of Family & Community Medicine, University of Toronto, Toronto, Canada.
Medical teacher
|February 2, 2024
概括
这份共识声明为卫生专业教育 (HPE) 中的道德大数据研究提供了19条建议. 它指导学者在数据共享,治理和质量方面,以改善医疗保健教育和患者的结果.
科学领域:
- 在健康职业教育 (HPE) 中的大数据.
- 数据科学中的伦理考虑
- 数字健康和医疗信息学
背景情况:
- 数字技术的进步使HPE能够利用大数据.
- 人们对数据的滥用存在担忧,可能会限制自主权,公平或损害利益相关者.
- 伦理框架对于在HPE中导航大数据的潜力和风险至关重要.
研究的目的:
- 解决HPE中大数据的伦理要求和挑战.
- 建立构建和参与大数据研究的基础问题.
- 在HPE和社会健康的大数据研究中培养信任和质量的文化.
主要方法:
- 专家的共识和文献审查.
- 在六个关键领域制定19项建议.
- 根据2022年太华会议和公众参与的反进行了改进.
主要成果:
- 19个建议涵盖研究框架,伦理实践,数据共享治理,最佳实践,知识翻译和多学科合作.
- 专注于医疗专业教育连续性的数据共享.
- 关于道德数据参与和高影响大数据奖学金的指导方针.
结论:
- 通过建议可以促进伦理数据共享和HPE中的高影响奖学金.
- 改进的大数据奖学金可以提高HPE的质量.
- 最终,这有助于高质量的医疗保健和改善社会健康结果.
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