泛研网

公众版 查看说明
全球科研项目数据库2026版

重症和手术监护临床大数据集支持系统

项目来源

国家重点研发计划(NKRD)

项目主持人

易斌

项目受资助机构

中国人民解放军第三军医大学

立项年度

2018

立项时间

未公开

项目编号

2018YFC0116702

项目级别

国家级

研究期限

未知 / 未知

受资助金额

400.00万元

学科

数字诊疗装备研发

学科代码

未公开

基金类别

“数字诊疗装备研发”重点专项

关键词

危重症事件 ; 大数据 ; 支持系统 ; Critically ill events ; Big data ; Support system

参与者

杨智勇

参与机构

未公开

项目标书摘要：面向各类监护仪器，采集数据类型多样化、关联关系繁杂化、质量良莠不齐等内在的复杂性使得监护数据的感知、表达和理解等环节存在巨大的挑战。项目通过开展多源异构数据采集、时序同步技术、数据质量与隐私控制技术、危重不良事件(窒息、昏厥、呼衰、心衰、肝衰、肾衰、脓毒症、死亡)表示及其标注方法等研究，构建监护临床样本数据集。在构建重症和手术患者临床大数据集支持系统中，本课题通过研究监护数据与其它临床数据(HIS、EMR、PACS 等)的时序关系估计及交叉参照，建立自适应分级存储策略，建设重症和手术监护临床数据库，对内部服务、成员服务、行业服务、科研服务等实现分级脱密与脱密审计机制，构建重症和手术患者临床大数据集支持系统，为前端系统开发提供数据支持服务

Application Abstract: Facing all kinds of monitoring instruments,the inherent complexity of data collection,such as diverse types,multifarious correlation and uneven quality,makes the perception,expression and understanding of monitoring data a huge challenge.The project constructed the monitoring clinical sample data set by carrying out studies on multi-source heterogeneous data collection,timing synchronization technology,data quality and privacy control technology,presentation and labeling of critical adverse events(asphyxiation,fainting,respiratory failure,heart failure,liver failure,renal failure,sepsis and death),etc.In constructing a severe clinical and surgical patients in large data sets to support system,this topic through the research on monitoring data and other clinical data(ihs,EMR,PACS,etc.)of the sequential relationship between estimated and cross references,and to establish adaptive hierarchical storage strategy,the construction of severe clinical database,and surgical care for internal service and member service,industry services,research services realizes the classification to take off the thick and dense audit mechanism,construction of intensive and surgical patients clinical supporting system for large data set,provide data support for the front-end system development services

项目受资助省

重庆市

联系人信息

杨智勇：260745265@qq.com

  • 排序方式：
  • 1
  • /

  • 1.重症和手术监护临床大数据集支持系统中期报告(Clinical large data set support system for intensive care and surgical care)

    • 关键词：
    • 危重症事件、大数据、支持系统、Critically ill events、Big data、Support system
    • 易斌；
    • 《中国人民解放军第三军医大学；》
    • 2019年
    • 报告

    面向各类监护仪器，采集数据类型多样化、关联关系繁杂化、质量良莠不齐等内在的复杂性使得监护数据的感知、表达和理解等环节存在巨大的挑战。项目通过开展多源异构数据采集、时序同步技术、数据质量与隐私控制技术、危重不良事件(窒息、昏厥、呼衰、心衰、肝衰、肾衰、脓毒症、死亡)表示及其标注方法等研究，构建监护临床样本数据集。在构建重症和手术患者临床大数据集支持系统中，本课题通过研究监护数据与其它临床数据(HIS、EMR、PACS 等)的时序关系估计及交叉参照，建立自适应分级存储策略，建设重症和手术监护临床数据库，对内部服务、成员服务、行业服务、科研服务等实现分级脱密与脱密审计机制，构建重症和手术患者临床大数据集支持系统，为前端系统开发提供数据支持服务 Facing all kinds of monitoring instruments,the inherent complexity of data collection,such as diverse types,multifarious correlation and uneven quality,makes the perception,expression and understanding of monitoring data a huge challenge.The project constructed the monitoring clinical sample data set by carrying out studies on multi-source heterogeneous data collection,timing synchronization technology,data quality and privacy control technology,presentation and labeling of critical adverse events(asphyxiation,fainting,respiratory failure,heart failure,liver failure,renal failure,sepsis and death),etc.In constructing a severe clinical and surgical patients in large data sets to support system,this topic through the research on monitoring data and other clinical data(ihs,EMR,PACS,etc.)of the sequential relationship between estimated and cross references,and to establish adaptive hierarchical storage strategy,the construction of severe clinical database,and surgical care for internal service and member service,industry services,research services realizes the classification to take off the thick and dense audit mechanism,construction of intensive and surgical patients clinical supporting system for large data set,provide data support for the front-end system development services

    ...
  • 排序方式：
  • 1
  • /