聊天机器人技术在医疗保健中的实施:图书识别分析协议
Zhao Ni1,2, Mary L Peng3, Vimala Balakrishnan4
1School of Nursing, Yale University, Orange, CT, United States.
JMIR research protocols
|January 16, 2024
概括
本文献分析检查了关于健康聊天机器人的研究,揭示了它们改善医疗保健准入的潜力. 需要进一步开发复杂的聊天机器人,以提供个性化的护理和准确的健康信息.
科学领域:
- 医疗信息学 医疗信息学
- 人工智能的人工智能
- 图书统计分析 图书统计分析
背景情况:
- 聊天机器人有潜力提高医疗保健的准入.
- 关于在卫生环境中采用聊天机器人的分析有限.
- 了解研究趋势对于有效实施至关重要.
研究的目的:
- 进行对医疗保健中聊天机器人技术研究的文献分析.
- 确定与健康相关的聊天机器人研究中的当前趋势和知识差距.
- 为促进健康提供关于聊天机器人的开发和应用的见解.
主要方法:
- 对来自CINAHL,IEEE Xplore,PubMed,Scopus和Web of Science的出版物进行了图书统计分析.
- 关键词包括"聊天机器人"",虚拟代理"",医疗保健"和"健康".
- 由人工智能工程师和临床医生进行独立审查,使用VOSViewer进行网络可视化.
主要成果:
- 在初步搜索中,发现了2340篇论文.
- 分析将涵盖出版模式,地理分布,资金,方法,特征和应用.
- 该研究旨在在2024年2月15日之前完成数据分析.
结论:
- 人工智能聊天机器人显示出对推进全球医疗保健系统的前景.
- 在开发复杂的聊天机器人以实现精确的交互和个性化护理方面,仍然存在挑战.
- 本分析解决了有关健康聊天机器人应用程序,开发和用户喜欢的功能方面的知识差距.
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