在医疗保健中的临床试验数据管理中利用人工智能实现数据完整性,透明度和安全性
Virendra S Gomase1,2, Arjun P Ghatule1, Rupali Sharma2
1Prin. L. N. Welingkar Institute of Management Development & Research, Mumbai, 400019, India.
Reviews on recent clinical trials
|August 28, 2025
概括
人工智能通过自动化验证,提高透明度和保护敏感信息来增强临床试验数据管理. 这将为所有利益相关者带来更高效,更合规,更值得信赖的研究成果.
科学领域:
- 医学研究
- 数据科学
- 人工智能
背景情况:
- 临床试验数据管理对于医学研究的有效性至关重要.
- 传统的方法在数据完整性和监管合规性方面存在问题.
- 人工智能为数据验证,安全和透明度提供了先进的功能.
研究的目的:
- 探索人工智能在临床试验数据管理中的变革潜力.
- 调查人工智能对数据完整性,透明度和安全性的影响.
- 评估人工智能在提高研究人员,参与者和监管机构信誉方面的作用.
主要方法:
- 使用机器学习算法和高级分析来检测数据异常和验证准确性.
- 介绍AI在实时监控和监管合规方面的案例研究和实际应用.
- 分析人工智能驱动的数据保护加密和访问控制系统.
主要成果:
- 通过自动验证和异常检测,人工智能显著简化了临床试验数据管理.
- 人工智能通过先进的加密和访问控制来增强数据安全性,最大限度地降低泄露风险.
- 整合人工智能可以提高透明度,监管合规性以及利益相关方对试验过程的信任.
结论:
- 人工智能通过提高完整性,透明度和安全性来彻底改变临床试验数据管理.
- 采用人工智能导致更高效,更安全,更可信的人工智能支持的临床试验.
- 为改善医疗数据管理,建议转向以人工智能为基础的临床试验.
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