首页|全院一体化重症监护管理信息系统的构建与应用

全院一体化重症监护管理信息系统的构建与应用

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目的 探讨以患者为中心的医院一体化重症监护管理信息系统的构建与应用成效.方法 通过JH Framework框架搭建应用程序,采用Widget-Canvas封装功能,通过ClickOnce技术更新部署,实现监护仪、呼吸机等生命支持设备体征数据的自动采集、传输、存储、分析,实现重症患者一体化管理.结果 系统应用后,重症医学科医嘱执行规范率提升至99.90%,呼吸与危重症医学科提升至99.50%(P<0.05);呼吸与危重症医学科护理文书书写合格率由98.18%上升至99.71%(P<0.05);重症医学科不良事件发生率由1.80%下降至0.56%,呼吸与危重症医学科不良事件发生率由0.32%下降至0.15%.结论 该系统可以减轻医护人员手工录入、转抄工作量,降低不良事件发生率,有效规范重症电子病历文书,提高患者生命支持设备数据利用率,提升重症监护一体化和数字化管理水平.
Construction and Application of Whole-Hospital Integrated Intensive Care Management Information System
Objective To explore the construction and application effect of the patient-centered hospital integrated intensive care management information system.Methods The application program was built by the JH Framework.And by using encapsulate Widget-Canvas functionality and updating deployment through ClickOnce technology,the automatic collection,transmission,storage,and analysis of vital signs data from life support devices such as monitors and ventilators were achieved,as well as integrated management of critically ill patients.Results After the application of the system,the compliance rate of medical orders in the intensive care department increased to 99.90%,and the respiratory and critical care department increased to 99.50%(P<0.05).The qualified rate of medical record documents for the respiratory and critical care department increased from 98.18%to 99.71%(P<0.05).The incidence of adverse events in intensive care department decreased from 1.80%to 0.56%,and the incidence of adverse events in the respiratory and critical care department decreased from 0.32%to 0.15%.Conclusion This system can reduce the manual input and copying workload of medical staff,reduce the incidence of adverse events,effectively standardize critical electronic medical record documents,improve patient life support equipment data utilization,which can enhance the integration and digital management level of intensive care.

intensive caremonitorventilatorautomatic collectioninformation systemvital signs dataInternet of Things

姬娜、丁涛、陈庆、杨宏伟、潘杰

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西安交通大学第二附属医院信息网络部,陕西西安 710004

汉中市中心医院计算机网络中心,陕西汉中 723000

西安交通大学医学部公共卫生学院,陕西西安 710061

西安交通大学第二附属医院妇产科,陕西西安 710004

汉中市中心医院病案统计科,陕西汉中 723000

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重症监护 监护仪 呼吸机 自动采集 信息系统 生命体征数据 物联网

陕西省卫生健康科研基金项目

2021D018

2024

中国医疗设备
中国整形美容协会

中国医疗设备

CSTPCD
影响因子:0.825
ISSN:1674-1633
年,卷(期):2024.39(10)