心血管疾病临床决策支持系统的构建和应用:多模式数据驱动的开发和验证研究
Shumei Miao1,2, Pei Ji2, Yongqian Zhu3
1School of Computer Science and Engineering, Southeast University, No.2 Sipailou, Nanjing, 210096, China, 86 02552090872.
JMIR medical informatics
|March 3, 2025
概括
一个新的临床决策支持系统 (CDSS) 改善了中国的心血管疾病 (CVD) 评估和治疗标准化. 这种智能系统通过整合多式联络数据并提供实时临床决策支持来增强患者护理.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 心血管医学 心血管医学
背景情况:
- 由于人口老龄化和不健康的生活方式,中国心血管疾病 (CVD) 发病率不断上升.
- 心血管疾病诊断和管理中的挑战,源于医疗资源分配不均和治疗标准的变化.
研究的目的:
- 使用新技术开发心血管诊断和治疗知识库.
- 创建一个辅助临床决策支持系统 (CDSS),集成到医生工作站.
- 提高心血管疾病评估准确性和治疗标准化率.
主要方法:
- 设计了一个分层的CDSS集成多式联络数据 (实验室,HIS,EMR,ECG,护理).
- 利用自然语言处理,IDCNN和TextCNN进行非结构化数据分析和知识提取.
- 开发了一个大数据平台,用于多维数据统计和管理决策支持.
主要成果:
- 实时CDSS集成到医生工作站显著改善了风险评估和诊断率.
- 强制性控制指标在CDSS实施后达到100%.
- 加强了对心血管疾病的临床诊断和治疗的整体标准化.
结论:
- 建立了一个专门的心血管疾病知识库,与临床多式联络信息集成,用于智能患者评估和分层.
- 证明了CDSS在自动推干预治疗中的有效性.
- 证明了使用CDSS构建的特定疾病智能系统在心血管护理中的价值.
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