首页|期刊导航|中国医学装备|手术患者出院后急诊到访预警系统构建及其在急诊就诊风险因素分析中的研究

手术患者出院后急诊到访预警系统构建及其在急诊就诊风险因素分析中的研究OA

Construction of an emergency visit early warning system after postoperative patients out from hospital and application of that in analysis about risk factors of emergent visits

中文摘要英文摘要

目的:构建手术患者出院后急诊到访实时监测预警系统,并应用其分析急诊就诊的关键风险因素,提升患者安全管理水平和医疗质量控制效率.方法:依托北京协和医院部署的医疗安全实时监测预警系统,整合医院信息系统、医学影像存档与通信系统等结构化数据,以"患者出院后31 d内再次急诊"为核心识别目标,通过数据整合、事件判定及双端推送流程,设计构建手术患者出院后急诊到访预警系统.采用该系统筛选2023年1月1日至12月31日北京协和医院手术患者(47 561例)出院后31 d内返急诊就诊患者,统计并分析患者基本情况,并基于系统数据分析出院后返急诊就诊相关风险因素.结果:所筛选的47 561例手术患者中,共有1 032例手术患者在出院后31 d内发生急诊就诊(占2.17%),其中又有129例患者于出院后90 d内返回住院(占0.27%).经单因素二元logistic回归分析发现,年龄、住院天数、手术级别和曾转入重症监护室是手术患者出院后31 d内发生急诊就诊的相关风险因素(OR=1.008、1.048、1.143、3.784,P<0.05);多次手术是手术患者出院后31 d内发生急诊就诊并诊断为并发症的相关风险因素(OR=2.107,P<0.05);患者性别、年龄、住院天数、手术级别、多次手术及31 d返急诊就诊是手术患出院后90 d内返回住院的相关风险因素(OR=1.190、1.037、1.565、1.563、1.491、3.491,P<0.05).结论:基于医院信息系统构建手术患者出院后急诊到访实时监测预警系统,能够有效识别术后患者高风险急诊事件,分析可能的潜在危险因素,可提升医疗服务连续性、优化围术期管理并降低再住院率.

Objective:To construct a real-time monitoring and early warning system for emergency visits after postoperative patient discharged,and to apply it to analyze key risk factors in emergent treatment,and to improve the level of safety management for patients,and to improve the efficiency of medical quality control.Methods:Based on the real-time monitoring and early warning system that was deployed at Peking Union Medical College Hospital for medical safety,we integrated structured data included the Hospital Information System(HIS)and Picture Archiving and Communication System(PACS).Focusing on the core identification goal("emergency visits within 31 days after patient discharged"),we designed and constructed an emergency visit early warning system after postoperative patients discharged through data integration,event determination,and dual-end push process.A total of 47,561 patients,who underwent surgery and admitted to department of emergency of Peking Union Medical College Hospital within the 31 days after they discharged from January 1 to December 31,2023,were screened by this system.The basic conditions of patients were analyzed by using statistical method,and the relative risk factors that patients received treatment at department of emergency after they discharged were analyzed on the basis of the data of this system.Results:Among 47,561 patients who received surgery,a total of 1,032 patients(2.17%)visited the department of emergency within 31 days after they discharged,and 129 patients(0.27%)of them readmitted to hospital within 90 days after they discharged.Univariate binary logistic regression analysis revealed that age,length of hospital stay,surgical grade,and"transfer to the Intensive Care Unit(ICU)"were risk factors that patients admitted to department of emergency within 31 days after they discharge(OR=1.008,1.048,1.143,3.784,P<0.05).Many times of surgery was risk factor that patients admitted to department of emergency within 31 days and they were diagnosed as complication after they discharged(OR=2.107,P<0.05).Gender,age,length of hospital stay,surgical grade,many times of surgery,and"admitted to department of emergency within 31 days"were risk factors that patients returned to hospitalization after they discharged within 90 days(OR=1.190,1.037,1.565,1.563,1.491,3.491,P<0.05).Conclusion:The constructed real-time monitoring and early warning system for emergency visits for patients who discharge from hospital on the basis of HIS can effectively identify high-risk emergency events of postoperative patients,and analyze potential risk factors,and improve the continuity of medical service,and optimize perioperative management,and reduce the rate of re-hospitalization.

王云婷;周翔;董超;姜会珍;杨风雷;常青

中国医学科学院北京协和医院西单院区事务管理处 北京 100032中国医学科学院北京协和医院信息中心 北京 100730中国医学科学院北京协和医院信息中心 北京 100730中国医学科学院北京协和医院信息中心 北京 100730联通数智医疗科技有限公司 广州 510335中国医学科学院北京协和医院西单院区事务管理处 北京 100032

医药卫生

医疗安全实时监测出院后急诊到访预警系统

Medical safetyReal-time monitoringPost-discharge emergency visitEarly warning system

《中国医学装备》 2026 (2)

74-79,6

10.3969/j.issn.1672-8270.2026.02.015

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