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CQL4NLP: Development and Integration of FHIR NLP Extensions in Clinical Quality Language for EHR-driven Phenotyping.CQL4NLP:在 EHR 驱动的表型分析中临床质量语言中 FHIR NLP 扩展的开发和集成。
AMIA Jt Summits Transl Sci Proc. 2021 May 17;2021:624-633. eCollection 2021.
2
Integration of NLP2FHIR Representation with Deep Learning Models for EHR Phenotyping: A Pilot Study on Obesity Datasets.自然语言处理 (NLP) 到 FHIR 表示的集成与深度学习模型在电子健康记录表型中的应用:肥胖数据集的初步研究。
AMIA Jt Summits Transl Sci Proc. 2021 May 17;2021:410-419. eCollection 2021.
3
Analyzing Patient Secure Messages Using a Fast Health Care Interoperability Resources (FIHR)-Based Data Model: Development and Topic Modeling Study.利用基于快速医疗互操作性资源(FIHR)的数据模型分析患者安全信息:开发和主题建模研究。
J Med Internet Res. 2021 Jul 30;23(7):e26770. doi: 10.2196/26770.
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The Fast Health Interoperability Resources (FHIR) Standard: Systematic Literature Review of Implementations, Applications, Challenges and Opportunities.快速医疗互操作性资源(FHIR)标准:实施、应用、挑战与机遇的系统文献综述
JMIR Med Inform. 2021 Jul 30;9(7):e21929. doi: 10.2196/21929.
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REDCap on FHIR: Clinical Data Interoperability Services.基于快速医疗互操作性资源(FHIR)的研究电子数据采集(REDCap):临床数据互操作性服务
J Biomed Inform. 2021 Sep;121:103871. doi: 10.1016/j.jbi.2021.103871. Epub 2021 Jul 21.
6
A novel application of SMART on FHIR architecture for interoperable and scalable integration of patient-reported outcome data with electronic health records.一种新颖的 SMART on FHIR 架构应用,用于实现患者报告的结果数据与电子健康记录的可互操作和可扩展集成。
J Am Med Inform Assoc. 2021 Sep 18;28(10):2220-2225. doi: 10.1093/jamia/ocab110.
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Development of an application concerning fast healthcare interoperability resources based on standardized structured medical information exchange version 2 data.基于标准化结构化医疗信息交换版本 2 数据的快速医疗互操作性资源应用程序的开发。
Comput Methods Programs Biomed. 2021 Sep;208:106232. doi: 10.1016/j.cmpb.2021.106232. Epub 2021 Jun 8.
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Stud Health Technol Inform. 2021 May 24;278:245-250. doi: 10.3233/SHTI210076.
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Oncology on FHIR: A Data Model for Distributed Cancer Research.基于FHIR的肿瘤学:分布式癌症研究的数据模型。
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基于 HL7 FHIR 的工具和计划支持临床研究:范围综述。

HL7 FHIR-based tools and initiatives to support clinical research: a scoping review.

机构信息

Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, Tennessee, USA.

Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.

出版信息

J Am Med Inform Assoc. 2022 Aug 16;29(9):1642-1653. doi: 10.1093/jamia/ocac105.

DOI:10.1093/jamia/ocac105
PMID:35818340
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9382376/
Abstract

OBJECTIVES

The HL7® fast healthcare interoperability resources (FHIR®) specification has emerged as the leading interoperability standard for the exchange of healthcare data. We conducted a scoping review to identify trends and gaps in the use of FHIR for clinical research.

MATERIALS AND METHODS

We reviewed published literature, federally funded project databases, application websites, and other sources to discover FHIR-based papers, projects, and tools (collectively, "FHIR projects") available to support clinical research activities.

RESULTS

Our search identified 203 different FHIR projects applicable to clinical research. Most were associated with preparations to conduct research, such as data mapping to and from FHIR formats (n = 66, 32.5%) and managing ontologies with FHIR (n = 30, 14.8%), or post-study data activities, such as sharing data using repositories or registries (n = 24, 11.8%), general research data sharing (n = 23, 11.3%), and management of genomic data (n = 21, 10.3%). With the exception of phenotyping (n = 19, 9.4%), fewer FHIR-based projects focused on needs within the clinical research process itself.

DISCUSSION

Funding and usage of FHIR-enabled solutions for research are expanding, but most projects appear focused on establishing data pipelines and linking clinical systems such as electronic health records, patient-facing data systems, and registries, possibly due to the relative newness of FHIR and the incentives for FHIR integration in health information systems. Fewer FHIR projects were associated with research-only activities.

CONCLUSION

The FHIR standard is becoming an essential component of the clinical research enterprise. To develop FHIR's full potential for clinical research, funding and operational stakeholders should address gaps in FHIR-based research tools and methods.

摘要

目的

HL7®快速医疗互操作性资源 (FHIR®) 规范已成为医疗数据交换的主要互操作性标准。我们进行了范围审查,以确定 FHIR 在临床研究中的使用趋势和差距。

材料与方法

我们审查了已发表的文献、联邦资助的项目数据库、应用程序网站和其他来源,以发现可用于支持临床研究活动的基于 FHIR 的论文、项目和工具(统称为“FHIR 项目”)。

结果

我们的搜索确定了 203 个适用于临床研究的不同 FHIR 项目。大多数与进行研究的准备有关,例如将数据映射到 FHIR 格式(n=66,32.5%)和使用 FHIR 管理本体(n=30,14.8%),或者与研究后的数据活动有关,例如使用存储库或注册中心共享数据(n=24,11.8%)、一般研究数据共享(n=23,11.3%)和管理基因组数据(n=21,10.3%)。除了表型分析(n=19,9.4%)之外,基于 FHIR 的项目较少关注临床研究过程本身的需求。

讨论

用于研究的 FHIR 解决方案的资金和使用正在增加,但大多数项目似乎都专注于建立数据管道并链接临床系统,如电子健康记录、面向患者的数据系统和注册中心,这可能是由于 FHIR 的相对新颖性和在健康信息系统中集成 FHIR 的激励措施。较少的 FHIR 项目与仅研究活动相关。

结论

FHIR 标准正在成为临床研究企业的重要组成部分。为了充分发挥 FHIR 在临床研究中的潜力,资金和运营利益相关者应解决基于 FHIR 的研究工具和方法的差距。