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重症医学大数据研究的基础设施与意愿调查

Infrastructure and willingness survey for big data research of critical care medicine in 2019

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【作者】 周翔苏龙翔王郝李冬凯陈焕段美丽刘健欧阳彬秦秉玉王洪亮王雪徐磊于湘友周飞虎刘娇张丽娜隆云

【Author】 Zhou Xiang;Su Longxiang;Wang Hao;Li Dongkai;Chen Huan;Duan Meili;Liu Jian;Ouyang Bin;Qin Bingyu;Wang Hongliang;Wang Xue;Xu Lei;Yu Xiangyou;Zhou Feihu;Liu Jiao;Zhang Lina;Long Yun;Department of Critical Care Medicine, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences;Department of Critical Care Medicine, Beijing Friendship Hospital;Department of Critical Care Medicine, the First Hospital of Lanzhou University;Department of Intensive Care Unite, First Affiliated Hospital, Sun Yat-sen University;Department of Critical Care Medicine, Henan Provincial People′s Hospital;Department of Critical Care Medicine, the Second Affiliated Hospital of Harbin Medical University;Department of Critical Care Medicine, the First Hospital of Xi′an Jiaotong University;Department of Critical Care Medicine, Tianjin Third Central Hospital;Department of Critical Care Medicine, the First Affiliated Hospital of Xinjiang Medical University;Department of Critical Care Medicine, PLA General hospital;Department of Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine;Department of Critical Care Medicine, National Clinical Research Center for Geriatric Disorders, XiangYa Hospital, Central South University;

【通讯作者】 隆云;

【机构】 中国医学科学院北京协和医学院北京协和医院重症医学科北京友谊医院重症医学科兰州大学第一医院重症医学科中山大学附属第一医院重症医学科河南省人民医院急危重症医学部哈尔滨医科大学附属第二医院重症医学科西安交通大学第一附属医院重症医学科天津市第三中心医院重症医学科新疆医科大学第一附属医院重症医学中心解放军总医院第一医学中心重症医学科上海交通大学医学院附属瑞金医院北院重症医学科中南大学湘雅医院重症医学科国家老年疾病临床医学研究中心

【摘要】 目的了解我国ICU大数据发展的现状,明确现存问题,为后续重症大数据平台发展和建设提供参考。方法通过互联网对824个重症医学专业医师进行问卷调查。问卷由中国卫生信息与健康医疗大数据学会重症医学与标准专委会设计。经过质控分析筛选,最终纳入来自598家医院的712个医师的反馈结果。结果所有受调查医院中,355家(59.4%)的ICU内部硬件数据整合程度欠佳,185家(30.9%)的临床信息系统可以向专科科研系统开放接口,133家(22.2%)支持数据分析结果共享。所有受调查医师中,389人(54.6%)可以投入支持系统建设及协调工作,但619人(86.9%)没有可直接用于大数据建设的科研经费支持项目开展。重症感染、重症呼吸、重症数据科学与信息学、重症血流动力学、重症神经是排名前五的亚专科兴趣,占总数的60.1%。结论现阶段我国ICU的信息化程度处于初级阶段。各医院对科研合作的开放程度较低,且需要更多经费和人力支持重症大数据的建设。

【Abstract】 Objective To understand the current situation and existing problems of big data in ICU, and to provide evidence for the subsequent development and construction of ICU big data platform in China. Methods Questionnaires designed by China Health Information and Medical Big Data Society & Critical Care Medicine and Standard Committee were sent to 824 intensive care doctors via internet. After quality control, results from 598 hospitals and 712 doctors were included in the final analysis. Results ICU internal hardware data could not be integrated was reported by 355(59.4%) hospitals. Clinical information systems could open the interface to specialized research systems was reported by 185(30.9%) hospitals. Analysis results could be shared was reported by 133(22.2%) hospitals. Among all surveyed doctors, 389(54.6%) had personnel to support the system construction and coordination, but 619(86.9%) had no direct funds for big data construction. Infection, respiratory diseases, data science and informatics, hemodynamics, and neurological diseases were the five top research interests, accounting for 60.1% of all interests. Conclusion Informationization of ICU is still in its early phase in China currently. Hospitals are not open enough to research cooperation, and need more funds and manpower to support the construction of ICU big data.

【关键词】 重症医学信息化大数据数据库
【Key words】 Critical care medicineInformationizationBig dataDatabase
【基金】 中国卫生信息与健康医疗大数据学会—重症感染镇痛镇静大数据研究专项(Z-2019-1-001);中华国际医学交流基金会中青年医学研究专项基金项目(Z-2018-35-1902)
  • 【文献出处】 中华重症医学电子杂志(网络版) ,Chinese Journal of Critical Care & Intensive Care Medicine(Electronic Edition) , 编辑部邮箱 ,2020年04期
  • 【分类号】R459.7;R-05
  • 【被引频次】2
  • 【下载频次】149
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