在慢性疾病管理干预中探索对话代理的特征:范围审查
Ekaterina Uetova1, Lucy Hederman2, Robert Ross1
1School of Computer Science, Technological University Dublin, Dublin, Ireland.
Digital health
|November 1, 2024
概括
交谈代理 (CA) 通过适应患者需求和整合医疗数据,在治疗慢性疾病方面表现有前途. 需要进一步的研究来优化它们在个性化医疗保健中的作用.
科学领域:
- 数字健康数字健康
- 医疗信息学 医疗信息学
- 人与计算机的交互
背景情况:
- 慢性疾病负担的增加需要创新的管理解决方案.
- 会话代理 (CA) 提供了患者自我管理支持的潜力.
- 了解CA特征和研究设计对于有效实施至关重要.
研究的目的:
- 审查用于慢性病管理的对话代理 (CA).
- 分析CA特征,研究设计,以及它们对患者福祉的潜在影响.
- 确定CA驱动的慢性疾病护理需要改进的领域.
主要方法:
- 在2023年2月的主要数据库 (PubMed,ACM,Scopus,IEEE) 进行系统的文献搜索.
- 包括标准集中在慢性疾病管理/预防和用户评估的系统上.
- 分析了42项关于CA类型,个性化,数据集成和结果的研究.
主要成果:
- 在11种慢性疾病中研究了各种CA类型.
- 个性化不同;只有12项研究整合了医疗记录.
- 主要发现表明改善了健康结果和积极的用户态度.
- 通常研究的疾病包括糖尿病,精神健康,心血管问题和癌症.
结论:
- CA需要加强个性化,适应患者需求,并整合人类支持和医疗记录.
- 来自用户交互的语言数据对于改进CA干预有价值.
- 鼓励对疾病特定的CA应用和潜在的进一步研究.
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