评估使用 HL7 FHIR 实施 FAIR 指导原则的情况:MIMIC-IV 急诊科模块案例研究。

IF 2.5 Q2 HEALTH CARE SCIENCES & SERVICES
JAMIA Open Pub Date : 2024-01-27 eCollection Date: 2024-04-01 DOI:10.1093/jamiaopen/ooae002
Philip van Damme, Matthias Löbe, Nirupama Benis, Nicolette F de Keizer, Ronald Cornet
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引用次数: 0

摘要

目标:提供一个真实世界的例子,说明健康七级快速医疗保健互操作性资源(FHIR)如何以及在多大程度上实现了科学数据的可查找、可访问、可互操作和可重用(FAIR)指导原则。此外,还提出了一份 FAIR 实施选择清单,以支持未来使用 FHIR 的 FAIR 实施:对重症监护医学信息市场-IV 急诊科(MIMIC-ED)数据集进行了案例研究,这是一个已转换为 FHIR 的去标识化临床数据集。使用一套通用的 FAIR 评估指标对该数据集的 FAIR 性进行了评估:结果:MIMIC-ED 的 FHIR 分布(包括实施指南和演示数据)与非 FHIR 分布相比更加公平。在 95 分的满分中,公平性得分从 60 分提高到 82 分,相对提高了 37%。最显著的改进体现在互操作性和可重用性方面,互操作性从 5 分提高到 19 分,可重用性则从 8 分提高到 14 分(满分为 24 分)。共确定了 14 种 FAIR 实施选择:我们的工作研究了 FHIR 标准如何以及在多大程度上有助于 FAIR 数据。在解释 FAIR 评估指标时遇到了挑战。本研究的突出之处在于提供了一个真实世界的例子,说明如何利用 FHIR 使数据集变得更加 FAIR:据我们所知,这是第一项正式评估 FHIR 数据集是否符合 FAIR 原则的研究。FHIR 提高了 MIMIC-ED 的可访问性、互操作性和可重用性。未来的研究应侧重于在研究数据基础设施中实施 FHIR。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessing the use of HL7 FHIR for implementing the FAIR guiding principles: a case study of the MIMIC-IV Emergency Department module.

Objectives: To provide a real-world example on how and to what extent Health Level Seven Fast Healthcare Interoperability Resources (FHIR) implements the Findable, Accessible, Interoperable, and Reusable (FAIR) guiding principles for scientific data. Additionally, presents a list of FAIR implementation choices for supporting future FAIR implementations that use FHIR.

Materials and methods: A case study was conducted on the Medical Information Mart for Intensive Care-IV Emergency Department (MIMIC-ED) dataset, a deidentified clinical dataset converted into FHIR. The FAIRness of this dataset was assessed using a set of common FAIR assessment indicators.

Results: The FHIR distribution of MIMIC-ED, comprising an implementation guide and demo data, was more FAIR compared to the non-FHIR distribution. The FAIRness score increased from 60 to 82 out of 95 points, a relative improvement of 37%. The most notable improvements were observed in interoperability, with a score increase from 5 to 19 out of 19 points, and reusability, with a score increase from 8 to 14 out of 24 points. A total of 14 FAIR implementation choices were identified.

Discussion: Our work examined how and to what extent the FHIR standard contributes to FAIR data. Challenges arose from interpreting the FAIR assessment indicators. This study stands out for providing a real-world example of a dataset that was made more FAIR using FHIR.

Conclusion: To the best of our knowledge, this is the first study that formally assessed the conformance of a FHIR dataset to the FAIR principles. FHIR improved the accessibility, interoperability, and reusability of MIMIC-ED. Future research should focus on implementing FHIR in research data infrastructures.

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来源期刊
JAMIA Open
JAMIA Open Medicine-Health Informatics
CiteScore
4.10
自引率
4.80%
发文量
102
审稿时长
16 weeks
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