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[1]徐川.人工智能在重症监护云平台建设中的运用实践[J].中国卫生质量管理,2025,32(12):13-17.[doi:10.13912/j.cnki.chqm.2025.32.12.03]
　XU Chuan.Practical Application of Artificial Intelligence in the Construction of Critical Care Cloud Platform[J].Chinese Health Quality Management,2025,32(12):13-17.[doi:10.13912/j.cnki.chqm.2025.32.12.03]

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人工智能在重症监护云平台建设中的运用实践

《中国卫生质量管理》[ISSN:1006-7515/CN:CN 61-1283/R] 卷: 32 期数: 2025年12期页码: 13-17 栏目: 特别关注出版日期: 2025-12-15

Title:: Practical Application of Artificial Intelligence in the Construction of Critical Care Cloud Platform

作者:: 徐川; 四川省医学科学院·四川省人民医院

Author(s):: XU Chuan; Sichuan Academy of Medical Sciences，Sichuan Provincial People’s Hospital

关键词:: 重症监护; 人工智能; 远程协同; 辅助决策; 医联体

Keywords:: Critical Care; Artificial Intelligence; Remote Rollaboration; Decision Support; Medical Consortium

分类号:: R197.324

DOI:: 10.13912/j.cnki.chqm.2025.32.12.03

文献标志码:: B

摘要:: 运用大数据、云服务和人工智能等技术，整合监护仪、呼吸机等设备与HIS、EMR等信息系统的多源数据，构建以重症医学专业为核心的重症监护云平台。平台通过整合业务流程，支持异常报警、报告生成、预测评估、远程会诊等功能，提升了报警准确率。自2023年4月上线以来，平台已接入10余所医疗机构，服务患者超1.4万人次，累计监护数据156万小时，AI预警协助抢救1 244余人，抢救成功率71%（1 244/1 742）以上。实践表明，该平台可提升重症监护室工作效率、医疗质量及医联体协同效能，为重症医学数字化转型提供了参考。

Abstract:: By leveraging technologies such as big data, cloud services, and artificial intelligence, a multi-source data integration system was developed to consolidate data from medical devices like monitors and ventilators and information systems such as Hospital Information System and Electronic Medical Record, constructing a critical care cloud platform centered on intensive care medicine. The platform streamlines clinical workflows, supporting functions such as abnormal alarm notification, report generation, predictive assessment, and remote consultation, while enhancing alarm accuracy. Since its launch in April 2023, the platform has been integrated into over 10 medical institutions, serving over 14 000 patients and accumulating 1.56 million hours of monitoring data. AI-driven early warnings have facilitated the rescue of more than 1 244 patients, achieving a rescue success rate exceeding 71%(1 244/1 742). Practical implementation demonstrates that the platform can improve operational efficiency in intensive care units, enhance medical quality, and foster collaborative effectiveness within medical consortium, providing a reference for the digital transformation of critical care medicine.

参考文献/References:

［1］杨建兴,费科锋,潘贤.医院重症监护数字化转型的建设与实现［J］.中国卫生信息管理杂志,2024,21(1):123-128.［2］黄晓霞,李瑶,陈吴天,等.结合5G和人工智能技术构建新一代智慧化ICU单元的探索［J］.中华急诊医学杂志,2021,30(10):1269-1273.［3］何先梁,刘梦星,刘三超,等.ICU和NICU病人监护仪报警现状的调查研究［J］.中国医疗器械杂志，2021,45(5)：585-590.［4］冯亚婷,陈海勇.远程会诊在重症医学领域的应用［J］.现代医院,2024,24(8):1278-1280.［5］程青云,张艳,田雨同，等.远程ICU的国内外实施现状［J］.解放军护理杂志,2022,39(3):79-81.［6］韦鑫,李兵.基于信息互联互通的重症监护信息系统设计与应用［J］.电子设计工程.2022，30(18):6-10，15.［7］胡月云,李芬.人工智能技术在重症监护领域的应用分析［J］.卫生职业教育，2021,39(8):150-152.［8］TOBIN JM, LUSCZEK E, BAKKER J.Artificial intelligence and machine learning in critical care research［J］.J Crit Care,2024,82:154791.［9］黄芊芊.基于机器学习的ICU有创机械通气预测研究［D］.广州:华南理工大学，2022.［10］卢乙禧,李晓珊,戴惠华.机器学习于机械通气患者脱机预测应用的研究进展［J］.岭南急诊医学杂志,2024，29(4):446-448.

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更新日期/Last Update: 2025-12-15