在大规模基因组研究中使用基于聊天的知情同意工具
Sarah K Savage1, Jonathan LoTempio2, Erica D Smith1
1Invitae Corporation, San Francisco, CA, United States.
Journal of the American Medical Informatics Association : JAMIA
|September 4, 2023
概括
一个新的聊天机器人同意工具用于研究研究被发现是高效的,并被参与者充分理解. 这种自动化方法减少了员工负担,但没有对国家基因组学研究的同意率产生负面影响.
科学领域:
- 基因组学研究的研究是基因组学.
- 生物信息学是一种生物信息学.
- 临床试验的管理管理.
背景情况:
- 参与者招募和同意是大规模研究中的关键步骤.
- 传统的同意程序对研究人员来说可能是耗时的.
- 基因组学研究需要有效和可扩展的参与者参与策略.
研究的目的:
- 为国家基因组学研究研究实施和评估聊天机器人同意工具.
- 评估自动化同意的效率和参与者的经验.
- 确定聊天机器人同意对同意率和参与者理解的影响.
主要方法:
- 开发了一个机构审查委员会批准的,基于聊天的自动化同意脚本.
- 将使用聊天机器人工具的潜在参与者与传统的员工领导的同意进行了比较.
- 通过测试评估同意完成时间,同意率和参与者的理解.
主要成果:
- 基于聊天的同意比传统方法更快完成.
- 没有观察到肯定同意率的显著差异.
- 在聊天机器人中,肯定同意和拒绝的完成率都较高.
- 据报道,理解测试的合格率很高,没有任何不良事件.
结论:
- 一个结构化的聊天机器人脚本有效地传递研究同意的基本信息.
- 自动化同意工具可以减少员工负担和轮班时间需求.
- 聊天机器人显示出在大型研究项目中扩大同意流程的潜力.
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