最近在整合人工智能和信息技术与真实世界数据的进展,用于中国的临床决策:一个范围审查
Xiwen Liao1, Chen Yao1,2, Jun Zhang3
1Peking University Clinical Research Institute, Peking University First Hospital, Beijing, China.
Journal of evidence-based medicine
|September 29, 2023
概括
人工智能和医疗信息技术正在中国推进临床决策支持工具. 需要多学科的合作,以整合现实世界的数据,以改善临床决策.
科学领域:
- 医疗信息学 医疗信息学
- 人工智能在医学中的应用
- 临床决策支持系统 临床决策支持系统
背景情况:
- 人工智能 (AI) 和医疗信息技术 (HIT) 整合到临床现实数据 (RWD) 中,已经取得了重大进展.
- 临床决策支持 (CDS) 工具在现代医疗保健环境中越来越重要.
研究的目的:
- 为中国基于AI/HIT的CDS工具的现状提供全面的概述.
- 分析这些工具在临床实践中的开发和应用.
主要方法:
- 从2010年到2022年2月,对英语和中文文学进行系统范围审查.
- 在PubMed/MEDLINE,Embase,CNKI和Wanfang数据库中进行了搜索,并补充了对商业工具的灰色文献搜索.
- 提取的信息根据临床决策类型进行了主题综合.
主要成果:
- 审查包括37个同行评审的出版物和13个商业工具.
- 工具主要用于疾病诊断 (32.0%),风险预测和分类 (54.0%) 和疾病管理 (14.0%).
- 慢性疾病,特别是心血管和脑血管疾病是最常见的焦点;单中心电子病历是主要数据来源,主要使用内部验证.
结论:
- 基于AI/HIT的CDS工具显示出中国医疗保健领域的巨大潜力.
- 广泛采用RWD和临床决策中的范式转变需要关键利益相关者之间紧急的多学科合作.
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