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.

项目概要 自 2008 年成立以来，北卡罗来纳大学 CTSA 附属机构北卡罗来纳州转化和临床科学 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合作以及整个 CTSA 联盟的大力参与。 我们建立了一个由大学、研究机构、医疗保健提供者和超过 130 家机构组成的充满活力的区域网络 我们州各地的社区组织。 在我们当前的资助周期中，我们正在转化来自 UNC 和 CTSA 的最佳科学成果 联盟致力于创造性、有效且易于使用的临床和社区干预措施，面向公众 我们州的健康问题，并通过我们的总体目标 1 推进国家 CTSA 目标。 劳动力发展：发展和支持熟练且多样化的临床和转化研究 目标 2 协作和解决医疗保健优先事项。 参与：让不同的利益相关者成为转化研究的积极合作伙伴，并促进 目标 3 整合的创新方法：整合学科和领域的转化研究。 目标 4 方法/过程：开发 并传播创新方法和途径，以解决科学和操作障碍 目标 5 信息学：整合尖端信息学工具和方法。 转化研究的各个方面。 TraCS 信息学和数据科学 (IDSci) 组件提供服务并开发新工具 提高研究生产力并减少个体研究人员和团队所需的工作量 进行有效的临床和转化研究我们建立了可持续的、跨机构的信息学。 基础设施和数据治理流程可确保数据安全，同时消除获取数据的障碍 在我们当前的资助周期中，我们正在积累开发当地资源的经验。 和工具来支持领先的国家信息学举措，培训我们的翻译人员使用 信息学工具，包括来自其他 CTSA 中心的信息学工具，提供安全且合规的数据管理 服务，在本地和全国范围内传播开源软件，并吸引社区参与 通过共享数据和工具参与转化研究的利益相关者。 TraCS IDSci 开发人员于 2018 年提出了 CAMP FHIR 的概念，以满足与合作的需求 “批量”快速医疗互操作资源 (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 支持大规模 EHR 数据提取。 一组患者而不是一次一名患者，这对于基于人群的研究至关重要。）CAMP FHIR 填补了这一空白，使用户能够转换存储在通用数据模型（CDM； i2b2/ACT 和 PCORnet）直接发送给 FHIR 在询问同行机构​​的信息学团队后，我们意识到。 要求使用 FHIR 数据进行研究（包括 NIH 的要求，如 2019 年的 NOT-OD-19-122）领先于 EHR 供应商和 HL7 的“官方”FHIR 规范和功能 这鼓励我们继续发展 CAMP FHIR，以支持更多的资源和领域。 原本设想的。 当前的提案是对 NOT-OD-21-091 的回应，并以 IDSci 的目标为基础 领先的信息学工具和方法，并将其提供给 CTSA 联盟。 作为补充，我们将使用软件更新和强化 CAMP FHIR（即，使 CAMP FHIR 更加稳健） 设计最佳实践，并确保云上的可部署性。我们的最终目标是创建和实现。 支持 CAMP FHIR 用户的 CTSA 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工作以更新 CAMP FHIR。 所提出的方式将大大增加软件的用户数量和影响力，并且在 CTSA 的使命和我们家长奖励的范围 然而，为 CAMP FHIR 准备的活动。 在 CTSA 联盟中进行广泛传播需要的资源超出了我们当前提供的资源 我们相信整个 CTSA 联盟都可以从拥有以下能力中受益。 将 CDM 数据转换为 FHIR（反之亦然），促进新研究问题的有效调查 并加速改善人类健康和患者护理的发现。