北京大学第一医院健康医疗大数据平台的建设实践与思考  

Practice and reflection on the construction of healt care big data platform in Peking University First Hospital

作　　者：杨照[1] 周煦然 樊笑晗 李贞 冯孟贤 刘久秀 郑茜子[1] 杨超 向宇[1] Yang Zhao;Zhou Xuran;Fan Xiaohan;Li Zhen;Feng Mengxian;Liu Jiuxiu;Zheng Xizi;Yang Chao;Xiang Yu(Peking University First Hospital,Beijing 100034,China;Ningbo Jintang Software Company Limited,Ningbo 315100,China)

机构地区：[1]北京大学第一医院,北京100034 [2]宁波金唐软件有限公司,宁波315100

出　　处：《中华医学科研管理杂志》2024年第6期492-496,共5页Chinese Journal of Medical Science Research Management

基　　金：首都卫生发展科研专项(2022-2-4079);2023年度北京大学科研管理课题(重点课题);2024年度北京大学第一医院科研种子基金课题(2024SF09)。

摘　　要：目的在分析和总结北京大学第一医院科研数据平台建设相关经验的基础上,提出医疗机构健康医疗大数据平台建设的有效路径,为进一步拓展健康医疗大数据平台应用,推动智慧医疗建设提供借鉴。方法通过系统化流程收集医院多域数据,分类处理并清洗后,采用国际医学标准与NLP技术实现数据标准化与结构化。同时,优化eCRF表单、数据源判断及数学计算,确保科研数据平台的数据质量与应用价值。结果北京大学第一医院通过开展科研数据平台建设,初步实现了从临床数据向科研数据的有效转化,实现了数据的有效采集、系统推送与整合、数据清洗与治理,并开展了健康医疗大数据研究。讨论后续应持续扩大数据范围,推动将临床数据转变为科研数据;提升临床专家参与度,进行项目的前瞻性设计和数据的前瞻性采集;以集成平台为基础,进行数据的自动推送与调用;以大语言模型的应用为方向,开展技术探索与储备。ObjectiveThis study aims to summarize the experience of building a research data platform at Peking University First Hospital and propose pathways for constructing healthcare big data platforms in medical institutions to provide insights for the further expansion of the application of the health care big data platform and construction of smart healthcare.MethodsHospital multi-domain data was collected through a systematic process.After data classification and cleaning,international medical standards and NLP technology were utilized to achieve data standardization and structuring.At the same time,the eCRF form,data source judgment,and mathematical calculations were optimized to ensure the data quality and application value of the scientific research data platform.ResultsBy carrying out the construction of a scientific research data platform,Peking University First Hospital achieved the transformation of clinical data into research data,completed data collection,pushing,integration,cleaning,and governance,and conducted health care big data research.ConclusionsIt is recommended to subsequently expand the data scope,promote the transformation of clinical data into research data,enhance clinical experts'participation in prospective design and data collection,use an integrated data platform for automatic data pushing and calling,explore the application of large language models and conduct technical exploration and reserves.

关 键 词：科研管理 数据 平台 治理 健康医疗大数据 

分 类 号：R197.324[医药卫生—卫生事业管理]