PDF(Pubmed)
Abstract：
BACKGROUND: Evidence-based medicine (EBM) has the potential to improve health outcomes, but EBM has not been widely integrated into the systems used for research or clinical decision-making. There has not been a scalable and reusable computer-readable standard for distributing research results and synthesized evidence among creators, implementers, and the ultimate users of that evidence. Evidence that is more rapidly updated, synthesized, disseminated, and implemented would improve both the delivery of EBM and evidence-based health care policy.
OBJECTIVE: This study aimed to introduce the EBM on Fast Healthcare Interoperability Resources (FHIR) project (EBMonFHIR), which is extending the methods and infrastructure of Health Level Seven (HL7) FHIR to provide an interoperability standard for the electronic exchange of health-related scientific knowledge.
METHODS: As an ongoing process, the project creates and refines FHIR resources to represent evidence from clinical studies and syntheses of those studies and develops tools to assist with the creation and visualization of FHIR resources.
RESULTS: The EBMonFHIR project created FHIR resources (ie, ArtifactAssessment, Citation, Evidence, EvidenceReport, and EvidenceVariable) for representing evidence. The COVID-19 Knowledge Accelerator (COKA) project, now Health Evidence Knowledge Accelerator (HEvKA), took this work further and created FHIR resources that express EvidenceReport, Citation, and ArtifactAssessment concepts. The group is (1) continually refining FHIR resources to support the representation of EBM; (2) developing controlled terminology related to EBM (ie, study design, statistic type, statistical model, and risk of bias); and (3) developing tools to facilitate the visualization and data entry of EBM information into FHIR resources, including human-readable interfaces and JSON viewers.
CONCLUSIONS: EBMonFHIR resources in conjunction with other FHIR resources can support relaying EBM components in a manner that is interoperable and consumable by downstream tools and health information technology systems to support the users of evidence.
OBJECTIVE: This study aimed to introduce the EBM on Fast Healthcare Interoperability Resources (FHIR) project (EBMonFHIR), which is extending the methods and infrastructure of Health Level Seven (HL7) FHIR to provide an interoperability standard for the electronic exchange of health-related scientific knowledge.
METHODS: As an ongoing process, the project creates and refines FHIR resources to represent evidence from clinical studies and syntheses of those studies and develops tools to assist with the creation and visualization of FHIR resources.
RESULTS: The EBMonFHIR project created FHIR resources (ie, ArtifactAssessment, Citation, Evidence, EvidenceReport, and EvidenceVariable) for representing evidence. The COVID-19 Knowledge Accelerator (COKA) project, now Health Evidence Knowledge Accelerator (HEvKA), took this work further and created FHIR resources that express EvidenceReport, Citation, and ArtifactAssessment concepts. The group is (1) continually refining FHIR resources to support the representation of EBM; (2) developing controlled terminology related to EBM (ie, study design, statistic type, statistical model, and risk of bias); and (3) developing tools to facilitate the visualization and data entry of EBM information into FHIR resources, including human-readable interfaces and JSON viewers.
CONCLUSIONS: EBMonFHIR resources in conjunction with other FHIR resources can support relaying EBM components in a manner that is interoperable and consumable by downstream tools and health information technology systems to support the users of evidence.
摘要：
背景：循证医学（EBM）具有改善健康结果的潜力，但是EBM尚未广泛集成到用于研究或临床决策的系统中。没有一个可扩展和可重用的计算机可读标准来分发研究结果和在创作者之间合成的证据，实施者，以及证据的最终使用者.更快速更新的证据，合成，传播,和实施将改善EBM和循证医疗保健政策的交付。
目的：本研究旨在介绍快速医疗互操作性资源（FHIR）项目（EBMonFHIR）的EBM，它正在扩展七级（HL7）FHIR的方法和基础设施，为与健康相关的科学知识的电子交换提供互操作性标准。
方法：作为一个持续的过程，该项目创建和完善FHIR资源，以代表临床研究和综合这些研究的证据，并开发工具来帮助创建和可视化FHIR资源。
结果：EBMonFHIR项目创建了FHIR资源（即，ArtifactAssessment,引文,证据,证据报告,和EvidenceVariable)用于表示证据。COVID-19知识加速器（COKA）项目，现在健康证据知识加速器(HEVKA)，进一步开展这项工作，创建了表达证据报告的FHIR资源，引文,和ArtifactAssessment概念。该小组是（1）不断完善FHIR资源以支持EBM的表示；（2）开发与EBM相关的受控术语（即，研究设计，统计类型,统计模型，和偏差风险）；以及（3）开发工具，以促进将EBM信息可视化和数据输入到FHIR资源中，包括人类可读的界面和JSON查看器。
结论：EBMonFHIR资源与其他FHIR资源结合可以支持中继EBM组件，其方式可互操作，并可由下游工具和健康信息技术系统使用，以支持证据用户。
目的：本研究旨在介绍快速医疗互操作性资源（FHIR）项目（EBMonFHIR）的EBM，它正在扩展七级（HL7）FHIR的方法和基础设施，为与健康相关的科学知识的电子交换提供互操作性标准。
方法：作为一个持续的过程，该项目创建和完善FHIR资源，以代表临床研究和综合这些研究的证据，并开发工具来帮助创建和可视化FHIR资源。
结果：EBMonFHIR项目创建了FHIR资源（即，ArtifactAssessment,引文,证据,证据报告,和EvidenceVariable)用于表示证据。COVID-19知识加速器（COKA）项目，现在健康证据知识加速器(HEVKA)，进一步开展这项工作，创建了表达证据报告的FHIR资源，引文,和ArtifactAssessment概念。该小组是（1）不断完善FHIR资源以支持EBM的表示；（2）开发与EBM相关的受控术语（即，研究设计，统计类型,统计模型，和偏差风险）；以及（3）开发工具，以促进将EBM信息可视化和数据输入到FHIR资源中，包括人类可读的界面和JSON查看器。
结论：EBMonFHIR资源与其他FHIR资源结合可以支持中继EBM组件，其方式可互操作，并可由下游工具和健康信息技术系统使用，以支持证据用户。
