• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

致力于眼科数据标准化,实现眼保健无缝互操作性。

Towards Standardizing Ophthalmic Data for Seamless Interoperability in Eye Care.

机构信息

Institute for Medical Informatics and Biometry, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.

Junior Professorship of Media Computing, Chemnitz University of Technology, Chemnitz, Germany.

出版信息

Stud Health Technol Inform. 2024 Aug 30;317:139-145. doi: 10.3233/SHTI240849.

DOI:10.3233/SHTI240849
PMID:39234716
Abstract

INTRODUCTION

Seamless interoperability of ophthalmic clinical data is beneficial for improving patient care and advancing research through the integration of data from various sources. Such consolidation increases the amount of data available, leading to more robust statistical analyses, and improving the accuracy and reliability of artificial intelligence models. However, the lack of consistent, harmonized data formats and meanings (syntactic and semantic interoperability) poses a significant challenge in sharing ophthalmic data.

METHODS

The Health Level 7 (HL7) Fast Healthcare Interoperability Resources (FHIR), a standard for the exchange of healthcare data, emerges as a promising solution. To facilitate cross-site data exchange in research, the German Medical Informatics Initiative (MII) has developed a core data set (CDS) based on FHIR.

RESULTS

This work investigates the suitability of the MII CDS specifications for exchanging ophthalmic clinical data necessary to train and validate a specific machine learning model designed for predicting visual acuity. In interdisciplinary collaborations, we identified and categorized the required ophthalmic clinical data and explored the possibility of its mapping to FHIR using the MII CDS specifications.

DISCUSSION

We found that the current FHIR MII CDS specifications do not completely accommodate the ophthalmic clinical data we investigated, indicating that the creation of an extension module is essential.

摘要

简介

眼科临床数据的无缝互操作性有利于通过整合来自各种来源的数据来改善患者护理和推进研究。这种整合增加了可用数据的数量,从而进行更强大的统计分析,并提高人工智能模型的准确性和可靠性。然而,缺乏一致、协调的数据格式和含义(语法和语义互操作性)是眼科数据共享的一个重大挑战。

方法

健康水平 7(HL7)快速医疗互操作性资源(FHIR)是医疗数据交换的标准,它是一个有前途的解决方案。为了促进研究中的跨站点数据交换,德国医学信息学倡议(MII)已经基于 FHIR 开发了一个核心数据集(CDS)。

结果

这项工作研究了 MII CDS 规范是否适合交换训练和验证特定机器学习模型(用于预测视力)所需的眼科临床数据。在跨学科合作中,我们确定并分类了所需的眼科临床数据,并探讨了使用 MII CDS 规范将其映射到 FHIR 的可能性。

讨论

我们发现当前的 FHIR MII CDS 规范不完全适用于我们研究的眼科临床数据,这表明创建扩展模块是必要的。

相似文献

1
Towards Standardizing Ophthalmic Data for Seamless Interoperability in Eye Care.致力于眼科数据标准化,实现眼保健无缝互操作性。
Stud Health Technol Inform. 2024 Aug 30;317:139-145. doi: 10.3233/SHTI240849.
2
Toward Interoperable Digital Medication Records on Fast Healthcare Interoperability Resources: Development and Technical Validation of a Minimal Core Dataset.迈向基于快速医疗保健互操作性资源的可互操作数字药物记录:最小核心数据集的开发与技术验证
JMIR Med Inform. 2025 May 9;13:e64099. doi: 10.2196/64099.
3
Aggregating the syntactic and semantic similarity of healthcare data towards their transformation to HL7 FHIR through ontology matching.通过本体匹配,聚合医疗保健数据的语法和语义相似性,以将其转换为 HL7 FHIR。
Int J Med Inform. 2019 Dec;132:104002. doi: 10.1016/j.ijmedinf.2019.104002. Epub 2019 Oct 5.
4
FHIR - Overdue Standard for Radiology Data Warehouses.FHIR——放射学数据仓库的逾期标准。
Rofo. 2025 May;197(5):518-525. doi: 10.1055/a-2462-2351. Epub 2024 Dec 6.
5
A Fast Healthcare Interoperability Resources (FHIR) layer implemented over i2b2.基于 i2b2 实现的快速医疗互操作性资源(FHIR)层。
BMC Med Inform Decis Mak. 2017 Aug 14;17(1):120. doi: 10.1186/s12911-017-0513-6.
6
Uncovering Harmonization Potential in Health Care Data Through Iterative Refinement of Fast Healthcare Interoperability Resources Profiles Based on Retrospective Discrepancy Analysis: Case Study.基于回顾性差异分析,通过快速医疗保健互操作性资源概况的迭代优化来挖掘医疗保健数据中的协调潜力:案例研究
JMIR Med Inform. 2024 Jul 23;12:e57005. doi: 10.2196/57005.
7
[Interoperability Working Group: core dataset and information systems for data integration and data exchange in the Medical Informatics Initiative].[互操作性工作组:医学信息学计划中用于数据集成和数据交换的核心数据集及信息系统]
Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz. 2024 Jun;67(6):656-667. doi: 10.1007/s00103-024-03888-4. Epub 2024 May 16.
8
Standardizing Heterogeneous Annotation Corpora Using HL7 FHIR for Facilitating their Reuse and Integration in Clinical NLP.使用HL7 FHIR对异构注释语料库进行标准化,以促进其在临床自然语言处理中的重用和整合。
AMIA Annu Symp Proc. 2018 Dec 5;2018:574-583. eCollection 2018.
9
Streamlining intersectoral provision of real-world health data: a service platform for improved clinical research and patient care.优化跨部门真实世界健康数据的提供:一个用于改善临床研究和患者护理的服务平台。
Front Med (Lausanne). 2024 Jun 5;11:1377209. doi: 10.3389/fmed.2024.1377209. eCollection 2024.
10
Data standards for interoperability of care team information to support care coordination of complex pediatric patients.用于支持复杂儿科患者护理协调的护理团队信息互操作性的数据标准。
J Biomed Inform. 2018 Sep;85:1-9. doi: 10.1016/j.jbi.2018.07.009. Epub 2018 Jul 12.