智能临床决策支持系统用于管理COPD患者
José Pereira1,2, Nuno Antunes1, Joana Rosa1
1INOV Inesc Inovação-Instituto de Novas Tecnologias, 1000-029 Lisbon, Portugal.
Journal of personalized medicine
|September 28, 2023
概括
这项研究引入了一个智能临床决策支持系统 (CIDSS),用于管理慢性阻塞性肺病 (COPD). 该系统使用人工智能预测健康状况恶化,为COPD患者提供主动干预.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 肺部病理学 肺部病理学
背景情况:
- 慢性阻塞性肺病 (COPD) 是全球主要的死亡原因.
- 远程健康监测系统 (HRMS) 对于COPD患者管理至关重要.
- 分析生物识别和环境数据可以预测COPD患者的健康状况恶化.
研究的目的:
- 审查现有的关于人工智能用于COPD管理的研究.
- 为COPD患者开发一个智能临床决策支持系统 (CIDSS).
- 为支持COPD治疗提供早期健康发展信息和风险分析.
主要方法:
- 开发了一个由两个模块组成的CIDSS:生命体征预测和早期预警得分计算.
- 生物识别标志和环境因素的综合分析.
- 在现实世界的临床案例中实施和评估CIDSS.
主要成果:
- 该CIDSS有效地产生患者健康信息和恶化风险.
- 该系统为超出范围的生物识别测量或显著的基本值变化提供警报.
- 通过医疗保健专业调查的临床验证证实了该系统的实用性.
结论:
- 开发的CIDSS是管理COPD的医疗保健专业人员的一个有价值的工具.
- 该系统有助于主动干预和个性化医疗治疗调整.
- 该CIDSS支持改善慢性阻塞性肺病护理患者的治疗结果.
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