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2008年成立以来 Institute（TRACS）通过跨学科研究改造了UNC的临床和翻译科学， 培训，与合作伙伴和利益相关者的合作以及在CTSA财团中的强大参与。 我们已经建立了一个动态的大学，研究机构，医疗保健提供者和> 130的区域网络 我们州的社区组织。 在当前的资金周期中，我们正在翻译UNC和CTSA的最佳科学 联盟融入创造性，有效且易于获得的临床和社区干预措施，向公众讲话 我们州的健康问题，并通过完成我们的整体目标来促进国家CTSA目标。目标1 劳动力发展：开发和支持熟练而多样的临床和翻译研究 劳动力推进转化创新并解决医疗保健重点。 AIM 2合作和 参与：与潜水员的利益相关者作为活跃合作伙伴参与转化研究，并促进 团队科学的创新方法。 AIM 3整合：整合学科的翻译研究和 整个研究中的人群继续持续到整个生命周期； AIM 4方法/过程：开发 并传播创新方法和方法，以解决科学和运营障碍 翻译科学发现。 AIM 5信息学：合并最先进的信息工具和方法 在翻译研究的各个方面。 TRACS信息学和数据科学（IDSCI）组件提供服务并开发新工具 这提高了研究生产力，并减少了个别研究人员和团队所需的努力 进行有效的临床和翻译研究。我们已经建立了可持续的跨机构信息 基础架构和数据治理流程，可确保数据安全，同时消除障碍 研究完成。在目前的资金周期中，我们正在基础我们在开发本地资源方面的经验 以及支持领先的国家信息倡议的工具，培训我们的翻译员工的使用 信息工具，包括其他CTSA枢纽的工具，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 通过共享数据和工具的转化研究利益相关者。 TRACS IDSCI开发人员在2018年概念化了FHIR营地，以应对与之合作 “批量”快速医疗保健互操作资源（FHIR）格式，目的地的电子健康记录（EHR）数据 HL7没有发布最终确定的批量FHIR规范。 （批量FHIR启用大型EHR数据提取 一次的患者同类，而不是一名患者，这对于基于人群的研究至关重要。） FHIR填补了这一空白，使用户可以转换大量存储在通用数据模型（CDMS; I2B2/ACT和PCORNET）直接到FHIR。在与同行机构的信息团队询问之后，我们意识到 要求使用FHIR数据进行研究（包括NIH的要求，如2019年所述 Not-OD-19-122）领先于EHR供应商和HL7的“官方” FHIR规格和功能 本身。这鼓励我们继续开发FHIR营地，以支持更多的资源和领域 最初设想。 当前的建议是对NOT-OD-21-091的回应，并建立在IDSCI的目标上 领先的信息工具和方法，并将其用于CTSA联盟。通过这个 补充，我们将使用软件更新并硬化FHIR营地（即，使Camp Fhir更强大） 工程最佳实践，并确保在云上部署。我们的最终目标是创建和 支持一个可以独立和协作使用该工具的CACK FHIR用户的CTSA社区 并继续随着时间的推移进行开源开发。更新FHIR营地的工作 拟议的方式将大大增加用户的数量和软件的影响，并且在 CTSA的使命和我们父母奖的范围。但是，为FHIR营做准备的活动 整个CTSA财团的广泛传播需要超出我们当前提供的资源 CTSA奖。我们认为，整个CTSA财团可以从具有能力的能力中受益 将CDM数据转换为FHIR（反之亦然），支持对新研究问题的有效研究 并加速了改善人类健康和患者护理的发现。