在脏研究中使用大数据和人工智能的伦理考虑来自ERA伦理委员会
Wim Van Biesen1, Jadranka Buturovic Ponikvar2, Monica Fontana3
1Department of Nephrology, University Hospital Gent, Gent, Belgium.
概括
科的大数据可以改善患者的治疗结果,但道德收集和使用至关重要. 确保数据质量,安全访问和严格的分析方法对于负责任地利用人工智能和大数据在病治疗中至关重要.
科学领域:
- 腎臟病學 (nephrology) 是一種醫學專業.
- 医疗信息学 医疗信息学
- 生物伦理学生物伦理学
背景情况:
- 大数据有可能提高病患者的治疗结果.
- 围绕患者数据收集和在病学中使用的伦理考虑至关重要.
- 为了负责任地实施大数据,平衡大数据的优势和陷至关重要.
研究的目的:
- 使用大数据概述了使用大数据在伦理上推进病患者治疗结果的要求.
- 探索大数据在病学中的伦理反思,重要性和相关性.
- 讨论合法和道德的大数据利用的必要条件.
主要方法:
- 专注于数据收集,组织和策划的关键初始阶段,以确保质量.
- 强调需要为授权人员提供安全和高效的数据访问协议.
- 强调安全平台的重要性,这些平台执行正确的分析方法来减轻偏见.
主要成果:
- 收集和策划的数据质量至关重要,以防止"垃圾进来,垃圾出去"的场景.
- 安全和有效的数据访问是必要的,以促进研究,而不影响患者的隐私.
- 通过专家合作支持的严格分析方法是防止偏见解释的关键.
结论:
- 需要道德框架和强大的基础设施来负责任地使用大数据在科.
- 医学研究人员和数据科学家之间的合作对于利用人工智能和大数据的全部潜力至关重要.
- 确保数据完整性和方法严谨最终将有利于患有病的患者.
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