通过聊天机器人改变医疗保健的医疗历史记录和未来方向:全面的系统审查
Michael Hindelang1,2,3, Sebastian Sitaru1, Alexander Zink1,4
1Department of Dermatology and Allergy, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany.
JMIR medical informatics
|August 29, 2024
概括
人工智能聊天机器人提高了患者的参与度,简化了病史记录,提高了医疗保健的效率. 需要进一步的研究来完善算法和情绪智能,以便更广泛的临床整合.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 人与计算机的交互
背景情况:
- 人工智能 (AI) 和聊天机器人技术在医疗保健中的整合显示出改善患者护理和简化病史记录的前景.
- 人工智能驱动的对话代理人,或聊天机器人,为医疗史记录提供了一个革命性的机会,需要彻底检查它们对临床实践的影响.
研究的目的:
- 系统地审查聊天机器人在医疗病史记录中的作用,有效性,可用性和患者接受度.
- 确定在临床实践中整合聊天机器人的潜在挑战和未来机会.
主要方法:
- 在多个数据库 (PubMed,Embase,MEDLINE,CENTRAL,Scopus,开放科学) 进行了系统的文献搜索,截至2024年7月.
- 包括基于PICOS框架的研究,重点是使用医疗保健聊天机器人进行历史记录的个人,结果包括可行性,接受性和可用性.
- 研究质量被评估使用STROBE观察性研究和RoB 2随机对照试验 (RCTs).
主要成果:
- 该审查包括18项研究 (15项观察性,3项RCT) 涉及各种医学领域.
- 聊天机器人在系统地收集患者信息,提高参与度和满意度,并使24 / 7自动数据收集有效.
- 质量评估显示了研究质量的差异,33%的观察性研究是高质量的,三分之二的RCT具有低偏差风险.
结论:
- 聊天机器人显示出增加患者参与度,简化数据收集和改善医疗保健决策的巨大潜力.
- 有效的临床整合需要用户友好的界面,强大的数据安全性和同情的患者与医生的互动.
- 未来的研究应该专注于改进聊天机器人算法,增强情绪智能,并在各种医疗保健环境中扩展应用.
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