人工智能优化临床试验的招聘和保留:一个范围审查
Xiaoran Lu1, Chen Yang2, Lu Liang2
1Department of Philosophy, School of the Art, University of Liverpool, Liverpool L69 3BX, United Kingdom.
Journal of the American Medical Informatics Association : JAMIA
|September 11, 2024
概括
人工智能 (AI) 增强了临床试验的招聘和保留,提高了效率和患者满意度. 然而,数据隐私和偏见等挑战需要进一步的研究和验证,以实现最佳使用.
科学领域:
- 生物医学信息学 生物医学信息学
- 临床试验管理 临床试验管理
- 医疗保健中的人工智能
背景情况:
- 临床试验的招聘和保留对于研究的成功至关重要.
- 传统方法在效率,成本和参与者参与方面面临挑战.
- 人工智能 (AI) 提出了优化这些过程的潜在解决方案.
研究的目的:
- 系统地审查和总结人工智能在临床试验参与者招聘和保留中的当前使用情况.
- 在临床试验招聘中确定与人工智能实施相关的好处和挑战.
主要方法:
- 在没有时间限制的情况下进行了全面的电子文献搜索.
- 包括专注于人工智能用于临床试验招聘的研究.
- 数据提取涉及出版细节,研究设计和结果.
主要成果:
- 包括2004年至2023年间发表的51项研究,瘤学是最常见的领域.
- 人工智能应用证明了诸如提高效率,节省成本,提高招聘准确性和提高患者满意度等好处.
- 确定了技术和道德问题,包括样本大小限制,隐私问题,数据安全,透明度,歧视和选择偏见.
结论:
- 人工智能在优化临床试验招聘和保留方面表现有前途.
- 需要进一步验证人工智能的有效性.
- 未来的研究应该优先考虑标准化的结果测量和方法严格的研究.
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