医疗保健中的对话代理:专家采访以告知定义,分类和概念框架
Laura Martinengo1, Xiaowen Lin1, Ahmad Ishqi Jabir1,2
1Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Singapore, Singapore.
Journal of medical Internet research
|November 1, 2023
概括
本研究介绍了CHAT框架,以指导可靠的医疗保健对话代理 (CA) 的设计,开发和实施. 专家验证了该框架,强调以用户为中心的设计和数据隐私,以实现更安全的CA应用程序.
科学领域:
- 医疗信息学 医疗信息学
- 人与计算机的交互
- 医疗保健中的人工智能
背景情况:
- 会话代理 (CA) 在医疗保健中越来越多地使用,但由于开发和评估过程不足,报告不良和不可靠的发现很常见.
- 一个先前的概念框架 (DISCOVER) 为设计,开发,评估和实施基于规则的智能手机交付的CA,专注于以用户为中心的设计和数据隐私.
- 信用卡的快速发展需要强大的框架,以便它们能够负责任地融入医疗保健机构.
研究的目的:
- 通过专家采访来定义和分类医疗保健对话代理 (CA).
- 评估和验证DISCOVER概念框架用于医疗保健CA开发.
- 根据专家的反来完善框架,以便更广泛地适用.
主要方法:
- 与12名医疗保健CA的多学科专家进行了一对一,半结构化的采访.
- 使用基于DISCOVER框架的面试指南.
- 使用专题分析分析了采访成绩单.
主要成果:
- 定义CA为使用自然语言进行跨多种模式的同步对话的数字接口.
- 分类CA分为13个类别,包括响应生成,模式,目的和平台.
- 专家们验证了概念框架,建议对基于AI的CA进行调整,同时注意到目前安全性和可靠性的局限性.
- 一个更新的框架,CHAT (对话健康人工智能技术) 被开发,对伦理,用户参与和数据隐私进行了加强考虑.
结论:
- 经过验证的CHAT框架为研究人员设计,开发和实施基于规则的医疗保健CA提供了全面的指导.
- 该框架涉及道德发展,用户参与以及数据隐私和安全的关键考虑.
- CHAT旨在提高与医疗保健对话代理相关的研究结果的可靠性和报告性.
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