摘要
目的构建具有科研应用及临床应用意义的重症医学专病库。方法基于医院构建的临床研究数据平台,挖掘重症医学相关的业务系统数据,建立重症医学专病标准数据集模型,实现专病库数据的自动采集与整合,形成具有数据分析与检索能力的重症医学数据库及应用平台。结果通过数据治理,将医院沉淀10年的重症医学数据重构为符合重症研究需要的重症医学专病库,实现了系统自动、持续地生成高质量、标准化、结构化的重症患者诊疗数据。结论搭建的重症医学数据库及应用平台可实现重症患者病例检索、病程浏览和患者数据导出等功能,支持重症医学相关课题研究,辅助科研人员建立临床预测模型,并应用于临床,验证其辅助诊疗效果.
Objective To construct a specialized database of critical care medicine with scientific research and clinical application significance.Methods Based on the clinical research data platform constructed by the hospital,the business system data related to critical care medicine were mined.The standard data set model of specialized diseases in critical care medicine was established,so as to realize the automatic collection and integration of data in specialized disease database and form a critical care medicine database and application platform with data analysis and retrieval capabilities.Results Through data management,the hospital's 10-year-old critical care medical data was reconstructed into a specialized database of critical care medicine that met the needs of critical care research,and the system automatically and continuously generated high-quality,standardized and structured critical care patient diagnosis and treatment data.Conclusion The database and application platform of critical care medicine can realize the functions of case retrieval,course browsing and patient data export of critical care medicine,support the research of related topics of critical care medicine,assist researchers to establish clinical prediction models,and apply them in clinic to verify their auxiliary diagnosis and treatment effects.
作者
武亚琴
卢晟晔
赵慧颖
闫华
刘丽红
赵翔宇
WU Ya-qin;LU Sheng-ye;ZHAO Hui-ying;YAN Hua;LIU Li-hong;ZHAO Xiang-yu(Peking University People's Hospital)
出处
《医院管理论坛》
2023年第3期93-96,共4页
Hospital Management Forum
关键词
重症医学
数据库
数据集
临床预测模型
Critical care medicine
Database
Data set model
Clinical prediction model