在医学教育中使用大数据的实用,隐私和道德和哲学考虑
1J.M. Amiel is professor, Department of Psychiatry, Columbia University Vagelos College of Physicians and Surgeons, New York, New York.
概括
纵向教育数据可以增强研究生医学教育和居民培训. 然而,对数据所有权,隐私和伦理的仔细考虑对于负责任地使用和开发大型数据集至关重要.
科学领域:
- 医学教育 医学教育
- 数据科学数据科学数据科学
- 医疗信息学 医疗信息学
背景情况:
- 纵向教育数据为改善研究生医学教育提供了机会.
- 医疗培训中越来越需要大型的机构间数据集.
- 目前的数据聚合工作需要仔细的伦理和哲学审查.
研究的目的:
- 探索使用纵向教育数据以优化居民培训的潜力.
- 解决围绕使用综合医学教育数据的挑战和考虑.
- 促进讨论大数据在医学教育中的伦理和实际影响.
主要方法:
- 视角的作品综合当前的趋势和挑战.
- 分析大数据在医学教育中的机遇.
- 讨论数据聚合的伦理,隐私和哲学考虑.
主要成果:
- 纵向数据可以为个人教学提供信息,并改善培训过渡.
- 对于先进的医学教育研究,需要大量的机构间数据集.
- 关于数据所有权和适当使用存在紧张关系.
结论:
- 建议加快数据集的开发.
- 必须解决实际,隐私,伦理和哲学问题.
- 随着数据聚合工作的成熟,需要深思熟虑.
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