解放军医学院学报2025，Vol.46Issue(2)：119-125,133,8.DOI:10.12435/j.issn.2095-5227.24070102
医疗大数据平台建设需求、实施路径与成效探讨
Research on demand,implementation pathways and effectiveness of medical big data platform
摘要
Abstract
Background With the development of medical informatization,medical big data platforms have become an important foundation for clinical research and a key breakthrough point for resource re analysis and utilization.However,the multi-source heterogeneity of medical data,the diversity of data standards,and the high requirements of patient privacy protection increase the difficulty of data acquisition and application.Objective To analyze the requirements for establishing a medical big data platform,develop a self-service,full-process data governance platform and tools,and construct a multi-center medical big data platform.Methods By reviewing the application needs of hospital data and adopting a modular and component-based design approach,the platform architecture was designed.The universally applicable components and management tools that were relatively independent of specific application systems were extracted and utilized to build a multi-center,multi-source heterogeneous medical big data platform.Results The electronic medical record data of the outpatient,emergency and inpatient departments of the Chinese PLA General Hospital had been aggregated and processed.A full-process,visual data governance tool was developed.The defined event schema graph covered 29 ontology categories,128 concepts,1 009 relationships and 3 022 attributes,including clinical evidence-based medical knowledge,clinical diagnosis and treatment,Internet of Things,medical imaging and other data.The consistency and traceability of data governance reached 99.99%,and the knowledge accuracy rate was over 95%.A one-stop data intelligent retrieval and scientific research analysis system and a specialized disease database intelligent analysis system covering the entire scientific research process and different research types have been constructed.Conclusion The platform not only provides a data retrieval and analysis system for clinical researchers,but also provides data management and platform operation and maintenance tools for data engineers,which improves the scalability and flexibility of the platform.关键词
医学大数据/多源异构/数据治理/模块化/多中心大数据平台Key words
medical big data/multi-source heterogeneous/data governance/modularization/multi-center big data platform分类
医药卫生引用本文复制引用
吴欢,车贺宾,乌日力格,王万玲,陈媛媛,何昆仑..医疗大数据平台建设需求、实施路径与成效探讨[J].解放军医学院学报,2025,46(2):119-125,133,8.基金项目
新一代人工智能国家科技重大专项(2021ZD0140406) （2021ZD0140406）
