CAMP FHIR: Lightweight, Open-Source FHIR Conversion Software to Support EHR Data Harmonization and Research

CAMP FHIR：支持 EHR 数据协调和研究的轻量级开源 FHIR 转换软件

• 批准号: 10402112
• 负责人: John Bernard Buse
• 金额: $ 20.35万
• 依托单位: UNIV OF NORTH CAROLINA CHAPEL HILL
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-01 至 2022-02-28
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10402112
• 关键词: Academic Medical Centers; Address; Adopted; Architecture; Award; Back; Clinical; Clinical Data; Clinical Informatics; Clinical Research; Clinical Sciences; Collaborations; Communities; Community Hospitals; Computer software; Consumption; Custom; Data; Data Analyses; Data Science; Data Sources; Data Store; Databases; Development; Discipline; Documentation; Electronic Health Record; Engineering; Ensure; Environment; Extensible Markup Language; Fast Healthcare Interoperability Resources; Funding; Future; Goals; Health Personnel; Health Status; Healthcare; Human; Individual; Industry Standard; Informatics; Infrastructure; Institutes; Institution; Intention; Interdisciplinary Study; Investigation; Java; Lead; Left; Linux; Location; Longevity; Methodology; Methods; Mission; Modeling; Names; North Carolina; Occupations; Operative Surgical Procedures; Opiate Addiction; Output; Parents; Patient Care; Patients; Pharmaceutical Preparations; Phase; Population; Population Research; Positioning Attribute; Problem Solving; Procedures; Process; Productivity; Public Health; Readiness; Reading; Records; Research; Research Assistant; Research Institute; Research Personnel; Research Training; Resources; Role; Science; Secure; Services; Site; Software Engineering; Source; Source Code; Structure; Terminology; Testing; Text; Time; Training; Translating; Translational Research; Translations; United States National Institutes of Health; Universities; Update; Validation; Vendor; Visual; Vocabulary; Work; Workforce Development; Writing; analytical tool; benefit sharing; clinical research site; cohort; community intervention; community organizations; computer science; data exchange; data format; data harmonization; data management; data modeling; data resource; data sharing; data standards; data tools; data translator; experience; graduate student; graphical user interface; health data; improved; informatics infrastructure; informatics tool; innovation; interoperability; light weight; novel; open source; peer; prevent; programs; response; software development; tool; uptake; usability; wiki

Project Summary Since our inception in 2008, the UNC CTSA affiliate, the North Carolina Translational and Clinical Sciences Institute (TraCS) has transformed clinical and translational science at UNC through interdisciplinary research, training, collaboration with partners and stakeholders, and strong engagement across the CTSA consortium. We have built a dynamic regional network of universities, research institutes, health care providers, and >130 community organizations across our state. In our current funding cycle, we are translating the best science from UNC and across the CTSA consortium into creative, effective, and accessible clinical and community interventions, addressing the public health problems of our state and advancing national CTSA goals by completing our Overall Aims. Aim 1 Workforce Development: Develop and support a skilled and diverse clinical and translational research workforce to advance translational innovations and address healthcare priorities. Aim 2 Collaboration and Engagement: Engage diverse stakeholders as active partners in translational research, and promote innovative approaches to team science. Aim 3 Integration: Integrate translational research for disciplines and populations across the research continuum and throughout the lifespan; Aim 4 Methods/Processes: Develop and disseminate innovative methods and approaches to address scientific and operational barriers to translating scientific findings. Aim 5 Informatics: Incorporate cutting-edge informatics tools and methodologies in every aspect of translational research. The TraCS Informatics and Data Science (IDSci) component provides services and develops new tools that increase research productivity and reduce the effort required by individual researchers and teams to conduct effective clinical and translational research. We have built sustainable, cross-institutional informatics infrastructure and data governance processes that keep data secure while removing barriers to getting research done. In our current funding cycles, we are building on our experience in developing local resources and tools to support leading national informatics initiatives, training our translational workforce on the use of informatics tools including those from other CTSA hubs, providing secure and compliant data management services, disseminating open source software locally and nationally, and engaging communities of stakeholders in translational research via the sharing of data and tools. TraCS IDSci developers conceptualized CAMP FHIR in 2018 in response to a need to work with electronic health record (EHR) data in “bulk” Fast Healthcare Interoperability Resources (FHIR) format, despite HL7 not having released a finalized bulk FHIR specification. (Bulk FHIR enables EHR data extraction for large cohorts of patients rather than one patient at a time, which is essential for population-based research.) CAMP FHIR fills this gap, enabling users to convert large amounts of data stored in common data models (CDMs; i2b2/ACT and PCORnet) directly to FHIR. After inquiring with informatics teams at peer institutions, we realized that demands to use FHIR data for research (including NIH’s request to do so, as described in 2019’s NOT-OD-19-122) were ahead of “official” FHIR specifications and capabilities from EHR vendors and HL7 itself. This encouraged us to continue development of CAMP FHIR to support more resources and fields than originally envisioned. This current proposal is in response to NOT-OD-21-091 and builds on IDSci’s aim to develop leading-edge informatics tools and methods and make these available to the CTSA consortium. Through this supplement, we will update and harden CAMP FHIR (i.e., make CAMP FHIR more robust) using software engineering best practices, as well as ensure deployability on the cloud. Our ultimate goal is to create and support a CTSA community of CAMP FHIR users who can use the tool both independently and collaboratively, and continue to engage in open-source development over time. The work to update CAMP FHIR in the proposed manner will greatly increase the number of users and impact of the software, and is within the mission of the CTSA and the scope of our parent award. However, the activities to prepare CAMP FHIR for broad dissemination across the CTSA consortium require resources beyond what is provided in our current CTSA award. We believe the entirety of the CTSA consortium could benefit from having the capability to convert CDM data to FHIR (and vice versa), facilitating the efficient investigation of novel research questions and hastening discoveries that improve human health and patient care.

项目摘要 自我们2008年成立以来，北卡罗来纳州州立大学CTSA附属机构北卡罗来纳州翻译和临床科学 该研究所(TraCS)通过跨学科研究改变了北卡罗来纳大学的临床和转化科学， 培训、与合作伙伴和利益相关者的协作，以及整个CTSA财团的强大参与度。 我们已经建立了一个由大学、研究机构、医疗保健提供者和&gt；130组成的充满活力的区域网络 我们全州的社区组织。 在我们目前的资助周期中，我们正在将北卡罗来纳大学和CTSA中最好的科学成果 向公众提供创造性、有效和可获得的临床和社区干预措施 我们州的健康问题，并通过完成我们的总体目标来推进国家CTSA目标。目标1 劳动力发展：开发和支持技术娴熟、多样化的临床和转化性研究 推动翻译创新和解决医疗保健优先事项的劳动力。目标2协作和 参与：让不同的利益相关者成为翻译研究的积极合作伙伴，并促进 团队科学的创新方法。目标3整合：整合学科的翻译研究和 跨研究连续体和整个生命周期的群体；目标4方法/过程：开发 并传播创新的方法和途径，以解决科学和操作障碍 翻译科学发现。目标5信息学：采用尖端信息学工具和方法 在翻译研究的方方面面。 TraCS信息学和数据科学(IDSci)组件提供服务并开发新工具 这提高了研究效率，并减少了单个研究人员和团队 进行有效的临床和转译研究。我们已经建立了可持续的、跨机构的信息学 基础设施和数据治理流程，确保数据安全，同时消除获取 研究完成了。在我们目前的筹资周期中，我们正在利用我们开发当地资源的经验。 和工具来支持领先的国家信息学计划，培训我们的翻译工作人员如何使用 信息学工具，包括来自其他CTSA中心的工具，提供安全、合规的数据管理 服务，在本地和全国范围内传播开放源码软件，并与 通过共享数据和工具，让利益攸关方参与转化性研究。 TRACS IDSci开发人员在2018年对Camp Fhir进行了概念化，以响应与 快速医疗互操作性资源(FHIR)格式的电子健康记录(EHR)数据，尽管 HL7尚未发布最终的批量FHIR规范。(批量FHIR使EHR数据提取适用于大型 而不是一次只有一个病人，这对基于人群的研究至关重要。)营地 FHIR填补了这一空白，使用户能够转换存储在公共数据模型(CDMS； I2b2/ACT和PCORnet)直接发送到FHIR。在询问了同行机构的信息学团队后，我们意识到 这就要求使用FHIR数据进行研究(包括美国国立卫生研究院的要求，如2019年的S所述 Not-OD-19-122)领先于EHR供应商和HL7提供的官方FHIR规格和功能 它本身。这鼓励我们继续发展冷杉营地，以支持更多的资源和领域 最初的设想是。 目前的建议是对NOT-OD-21-091的响应，并建立在IDSci开发目标的基础上 先进的信息学工具和方法，并向CTSA联盟提供这些工具和方法。通过这件事 作为补充，我们将使用软件更新和强化Camp Fhir(即，使Camp Fhir更加健壮) 工程最佳实践，以及确保云上的可部署性。我们的最终目标是创造和 支持ctsa的冷杉营地用户社区，他们可以独立和协作使用该工具， 并随着时间的推移继续从事开源开发。更新林中冷杉营地的工作 建议的方式将大大增加用户数量和软件的影响，并在 CTSA的使命和我们父母奖项的范围。然而，为冷杉营地做准备的活动 在CTSA财团中广泛传播需要的资源超出了我们目前提供的资源 CTSA奖。我们相信，整个CTSA财团都可以受益于有能力 将CDM数据转换为FHIR(反之亦然)，促进对新研究问题的有效调查 以及加速改善人类健康和病人护理的发现。