对人工智能 (AI) 支持的聊天机器人干预进行系统审查,以管理慢性疾病
Moh Heri Kurniawan1,2, Hanny Handiyani3, Tuti Nuraini3
1Doctoral Student, Faculty of Nursing, Universitas Indonesia, Depok, Indonesia.
Annals of medicine
|March 11, 2024
概括
人工智能驱动的聊天机器人对慢性疾病自我管理有希望,用户普遍接受这些工具. 需要进行进一步的研究,以充分了解它们的有效性,并确保医疗保健应用中的患者安全.
科学领域:
- 医疗保健技术 医疗保健技术 医疗保健技术
- 医学中的人工智能
- 数字健康干预措施 数字健康干预措施
背景情况:
- 人工智能 (AI) 聊天机器人越来越多地用于医疗保健,特别是用于慢性疾病管理.
- 这些工具增强了患者的沟通,并支持对数字健康解决方案日益增长的需求.
- 在对人工智能驱动的聊天机器人干预在医疗保健的影响的全面学术审查中存在一个差距.
研究的目的:
- 评估用户对人工智能驱动的慢性疾病聊天机器人的满意度.
- 为了评估这些人工智能聊天机器人的干预效果.
- 描述用于慢性疾病的聊天机器人的AI架构和功能.
主要方法:
- 在多个数据库 (PubMed MEDLINE,CINAHL,EMBASE,PsycINFO,ACM数字图书馆,Scopus) 中进行了系统的文献审查.
- 包括的研究集中在使用人工智能聊天机器人进行慢性疾病预防,治疗或康复的初级研究.
- 偏差风险使用风险工具2.0.0进行评估.
主要成果:
- 在784个初步结果中,有8项研究符合纳入标准.
- 干预方法包括健康教育,行为改变,压力管理,认知行为疗法和自我照顾.
- 用户表现出对人工智能驱动的聊天机器人进行自我管理慢性疾病的良好接受.
结论:
- 人工智能驱动的聊天机器人对慢性疾病自我管理有希望,显示出良好的用户接受度.
- 有限的疗效证据需要未来的研究,详细的技术文档,并专注于患者安全.
- 未来的研究应该优先考虑基于证据的评估和不同慢性健康状况的比较.
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