Automated population of an i2b2 clinical data warehouse from an openEHR-based data repository

BackgroundDetailed Clinical Model (DCM) approaches have recently seen wider adoption. More specifically, openEHR-based application systems are now used in production in several countries, serving diverse fields of application such as health information exchange, clinical registries and electronic medical record systems. However, approaches to efficiently provide openEHR data to researchers for secondary use have not yet been investigated or established.MethodsWe developed an approach to automatically load openEHR data instances into the open source clinical data warehouse i2b2. We evaluated query capabilities and the performance of this approach in the context of the Hanover Medical School Translational Research Framework (HaMSTR), an openEHR-based data repository.ResultsAutomated creation of i2b2 ontologies from archetypes and templates and the integration of openEHR data instances from 903 patients of a paediatric intensive care unit has been achieved. In total, it took an average of ∼2527 s to create 2.311.624 facts from 141.917 XML documents. Using the imported data, we conducted sample queries to compare the performance with two openEHR systems and to investigate if this representation of data is feasible to support cohort identification and record level data extraction.DiscussionWe found the automated population of an i2b2 clinical data warehouse to be a feasible approach to make openEHR data instances available for secondary use. Such an approach can facilitate timely provision of clinical data to researchers. It complements analytics based on the Archetype Query Language by allowing querying on both, legacy clinical data sources and openEHR data instances at the same time and by providing an easy-to-use query interface. However, due to different levels of expressiveness in the data models, not all semantics could be preserved during the ETL process.     

生物样本库及样本应用现状

目前精准医疗成为热点,生物样本库则在恶性肿瘤、血液病、免疫系统疾病、代谢性疾病、心脑血管疾病等重大疾病的精准医疗过程中扮演着重要角色。样本在“试验台-临床”这个过程中扮演着不可或缺的地位。实体样本库、临床信息库结合的建库思路已经深入人心,但是样本的使用问题则是目前国内遇到的难题。完善立法措施,建立行业规范,保证样本质量,建立可相互兼容的样本库平台是工作的重点。小型生物样本库的建设要立足规范化,立足于自身特色,以样本质量控制及应用为导向进行日常工作。     

Data mining and clinical data repositories: Insights from a 667,000 patient data set

Clinical repositories containing large amounts of biological, clinical, and administrative data are increasingly becoming available as health care systems integrate patient information for research and utilization objectives. To investigate the potential value of searching these databases for novel insights, we applied a new data mining approach, HealthMiner, to a large cohort of 667,000 inpatient and outpatient digital records from an academic medical system. HealthMiner approaches knowledge discovery using three unsupervised methods: CliniMiner, Predictive Analysis, and Pattern Discovery. The initial results from this study suggest that these approaches have the potential to expand research capabilities through identification of potentially novel clinical disease associations.     

电子病历（EMR）集成展现的设计与实现

目的：为了更好地在临床医生工作站中集成展现电子病历和临床医生提供有益的帮助。方法：通过医生概览、历史就诊事件、单患者部位导航、单患者生命体征、关键指标以及多种图像集成展现等方法来实现。结果：为医院管理及医生提供了很大的便利。结论：改善了传统的临床信息浏览的方式及操作界,具有良好的应用前景。     

医院机构知识库构建

结合国内外机构知识库建设的现状,分析建设医院机构知识库的必要性和可行性,结合北京大学口腔医院的实际情况,提出建设北京大学口腔医院机构知识库的构想。系统分析医院机构知识库的框架与结构、内容维护与运营、特点以及具体建设实践及经验。     

基于临床数据中心系统的医院影像中心建设及标准化研究

医院影像信息系统建设开始从“以科室为中心”逐渐向“以患者为中心”的方向发展,本文介绍了北京大学人民医院影像数据中心建设的过程,提出了影像数据中心的系统集成思路、方法和采用的技术标准,同时介绍了影像数据中心系统在实际应用过程中遇到的问题和该系统未来的发展方向。     

构建我国药学类学科资源库联盟的策略

通过对国内外有关学科资源库文献与案例的学习,构建药学类学科资源库联盟的策略。从协作模式、平台建设、资源的采集与组织、存取政策的制定、版权问题、质量控制、资金来源等角度细探讨了及药学类学科资源库联盟的发展趋势。协作模式分为集中存储模式、分布采集模式和层级构建模式,平台构建则是在协作模式的基础上根据不同的协作模式,构建相对应的联盟平台。     

构建以科研管理为导向的医院机构知识库

在科研管理流程优化的需求下,通过拓展医院机构知识库的功能,使其融入科研管理的各个阶段,成为科研管理和绩效评估的重要工具,为科研管理人员提供数据支撑,为医院管理者提供决策参考。从系统架构、功能模块构建、系统管理几方面对机构知识库的构建进行了研究,为其他医院的机构知识库建设提供参考。