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基于云计算的电子健康档案系统建设理念与实践 总被引:1,自引:0,他引:1
电子健康档案(Electronic Health Records,EHR)是人们在相关健康活动中直接形成的具有保存备查价值的电子化历史纪录,是医疗卫生管理和临床诊疗决策的重要依据。借助云计算理念和技术建设标准化的电子健康档案体系和系统,对于节约建设经费、降低维护成本、推进数据标准化、提高资源利用率具有巨大的应用价值。从云计算的网络特点和基础架构出发,依据电子健康档案系统的应用目标和发展方向,提出以居民健康为对象,在传递健康信息的同时,传递健康服务、传递计算能力的电子健康档案系统建设新理念,并据此探讨了标准化电子健康档案系统的建设方法和区域实践。 相似文献
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通过介绍并分析国内外电子健康档案(Electronic Health Records,EHR)定义的共同点和不同点,指出EHR所具有的关键特点.对国内外EHR标准化工作现状进行分析研究,提出相应建议,对于我国开展EHR系统建设具有一定参考价值. 相似文献
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中医药行业应用HL7体系的意义 总被引:2,自引:0,他引:2
HL7(Health Level 7)是西方医学电子数据传输与交换的标准,西方医疗机构在此基础上实现了数据共享。据此探讨如何建立符合中国国情的医学数据传输标准、如何实现电子病历和建立医学数据中心,以及HL7对医药行业发展的意义。 相似文献
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目的:根据新医改政策及卫生部关于电子健康档案的建设方案和相关标准,提出支持标准和可扩展标记语言(Extensible MarkupLanguage,XML)标准、符合临床文档结构(Clinical Document Architecture,CDA)规范原则、能快捷建档的技术方案。方法:1遵照现行中国标准GB、GB/T、卫生部和国家中医药管理局近期发布政策标准规范,采用XML和CDA规范,针对健康档案涉及栏目及其填写内容,建立具有白解释能力和符合XML标准的CDA元数据,并集储于CDA资源库;2.通过弹性结构式电子健康档案(Flexible Structured Electronic Health Records,FS—EHRs)系统,从CDA资源库导入相关结构的CDA,系统的文体为多个CDA构成的XML文档:3.采用DES算法和X.509协议处理CDA数据加密和抗抵赖的信息安全。结果:执行标准和规范的同时能快速组合构建包括电子病历在内的健康档案信息采集模板:FS—HERs为“即见所得”式自由文本录入界面,可供现场实时导入或直接编辑CDA文档,能快捷地在CDA规范下弹性扩展个性化结构,统一了模板规范化与个性化和实时性的矛盾;FS—HER生成的由CDA集仍属于XML,并自含加密或签名属性。结论:本技术方案有助于区域卫生跨平台互联互通的信息交换和安全保障。 相似文献
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BRIDG(Biomedical Research Integrated Domain Group)模型是一种介于医疗信息与临床研究信息之间的交换标准,它是连接HL7(Health Level Seven)和DCDISC(Clinical Data Interchange Standards Consortium)标准的桥梁。在通过医院信息系统(HIS)转出数据到临床数据管理(clinical data management,CDM)系统或电子数据采集(electronic data capture,EDC)系统时应用BRIDG模型,将为提高临床研究的效率、保证数据质量、促进数据共享等方面起到积极的作用。 相似文献
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本刊记者李海阳报道《国家数字卫生关键技术与区域应用示范研究》(简称:国家数字卫生项目)的两个课题——“个人电子健康档案系统”和“重大传染病专项电子健康档案系统”。于6月15日已经通过国家级评审,被认定符合国家卫生部电子健康档案相关标准。 相似文献
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Brian H Shirts Joseph S Salama Samuel J Aronson Wendy K Chung Stacy W Gray Lucia A Hindorff Gail P Jarvik Sharon E Plon Elena M Stoffel Peter Z Tarczy-Hornoch Eliezer M Van Allen Karen E Weck Christopher G Chute Robert R Freimuth Robert W Grundmeier Andrea L Hartzler Rongling Li Peggy L Peissig Josh F Peterson Luke V Rasmussen Justin B Starren Marc S Williams Casey L Overby 《J Am Med Inform Assoc》2015,22(6):1231-1242
Objective Clinicians’ ability to use and interpret genetic information depends upon how those data are displayed in electronic health records (EHRs). There is a critical need to develop systems to effectively display genetic information in EHRs and augment clinical decision support (CDS).Materials and Methods The National Institutes of Health (NIH)-sponsored Clinical Sequencing Exploratory Research and Electronic Medical Records & Genomics EHR Working Groups conducted a multiphase, iterative process involving working group discussions and 2 surveys in order to determine how genetic and genomic information are currently displayed in EHRs, envision optimal uses for different types of genetic or genomic information, and prioritize areas for EHR improvement.Results There is substantial heterogeneity in how genetic information enters and is documented in EHR systems. Most institutions indicated that genetic information was displayed in multiple locations in their EHRs. Among surveyed institutions, genetic information enters the EHR through multiple laboratory sources and through clinician notes. For laboratory-based data, the source laboratory was the main determinant of the location of genetic information in the EHR. The highest priority recommendation was to address the need to implement CDS mechanisms and content for decision support for medically actionable genetic information.Conclusion Heterogeneity of genetic information flow and importance of source laboratory, rather than clinical content, as a determinant of information representation are major barriers to using genetic information optimally in patient care. Greater effort to develop interoperable systems to receive and consistently display genetic and/or genomic information and alert clinicians to genomic-dependent improvements to clinical care is recommended. 相似文献
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ObjectiveDue to a complex set of processes involved with the recording of health information in the Electronic Health Records (EHRs), the truthfulness of EHR diagnosis records is questionable. We present a computational approach to estimate the probability that a single diagnosis record in the EHR reflects the true disease.Materials and MethodsUsing EHR data on 18 diseases from the Mass General Brigham (MGB) Biobank, we develop generative classifiers on a small set of disease-agnostic features from EHRs that aim to represent Patients, pRoviders, and their Interactions within the healthcare SysteM (PRISM features).ResultsWe demonstrate that PRISM features and the generative PRISM classifiers are potent for estimating disease probabilities and exhibit generalizable and transferable distributional characteristics across diseases and patient populations. The joint probabilities we learn about diseases through the PRISM features via PRISM generative models are transferable and generalizable to multiple diseases.DiscussionThe Generative Transfer Learning (GTL) approach with PRISM classifiers enables the scalable validation of computable phenotypes in EHRs without the need for domain-specific knowledge about specific disease processes.ConclusionProbabilities computed from the generative PRISM classifier can enhance and accelerate applied Machine Learning research and discoveries with EHR data. 相似文献
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阐述基于Hadoop的电子健康档案云平台架构设计,包括服务对象及需求、逻辑架构、软件架构等方面,介绍基于HBase的电子健康档案云平台数据预处理模型,进行实验环境的搭建和配置,通过实验完成Hadoop集群的启动。 相似文献
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电子健康档案的发展是全球数字化的必然趋势,介绍电子健康档案的建立与国家相关政策,阐述电子健康档案在德阳、上海、北京、广州、南昌等地的建设实践,对未来发展进行展望,为其他省市电子健康档案的建设提供有益参考。 相似文献
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以卫生信息化发展较好的国家英国、美国、加拿大为研究对象,以我国为参照对象,通过网络及文献调研,从法律法规、支撑技术及卫生信息标准等方面对各国电子健康档案建设概况进行综合分析,为我国电子健康档案建设提供参考和借鉴。 相似文献