从CDA文档中提取FHIR资源的体系结构模型

Maria Mercorella, Mario Ciampi, M. Esposito, A. Esposito, G. Pietro
{"title":"从CDA文档中提取FHIR资源的体系结构模型","authors":"Maria Mercorella, Mario Ciampi, M. Esposito, A. Esposito, G. Pietro","doi":"10.1109/SITIS.2016.99","DOIUrl":null,"url":null,"abstract":"In the last decades, many standards, such as HL7 V2 and V3, have been proposed for the encoding of clinical documents with the purpose of ensuring syntactic and semantic interoperability among heterogeneous health information systems. Recently, HL7 has defined the new standard FHIR in response to limitations existing in HL7 V2 and V3. In Italy, CDA 2 is the reference standard for the storage of clinical documents. In order to encourage FHIR widespread getting its benefits, we propose an architectural model able to i) receive a query about clinical data contained in a CDA document, ii) identify required information, and iii) present it as a FHIR resource, on the basis of several CDA to FHIR mapping schemas. We focus on the information extraction from the Italian Patient Summary, a collection of the patient's most significant clinical data. This choice emphasizes the advantages of using FHIR standard due to the possibility of extracting granular information of clinical interest from a full document.","PeriodicalId":403704,"journal":{"name":"2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"An Architectural Model for Extracting FHIR Resources from CDA Documents\",\"authors\":\"Maria Mercorella, Mario Ciampi, M. Esposito, A. Esposito, G. Pietro\",\"doi\":\"10.1109/SITIS.2016.99\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the last decades, many standards, such as HL7 V2 and V3, have been proposed for the encoding of clinical documents with the purpose of ensuring syntactic and semantic interoperability among heterogeneous health information systems. Recently, HL7 has defined the new standard FHIR in response to limitations existing in HL7 V2 and V3. In Italy, CDA 2 is the reference standard for the storage of clinical documents. In order to encourage FHIR widespread getting its benefits, we propose an architectural model able to i) receive a query about clinical data contained in a CDA document, ii) identify required information, and iii) present it as a FHIR resource, on the basis of several CDA to FHIR mapping schemas. We focus on the information extraction from the Italian Patient Summary, a collection of the patient's most significant clinical data. This choice emphasizes the advantages of using FHIR standard due to the possibility of extracting granular information of clinical interest from a full document.\",\"PeriodicalId\":403704,\"journal\":{\"name\":\"2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SITIS.2016.99\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SITIS.2016.99","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

摘要

在过去的几十年里,已经提出了许多标准,如HL7 V2和V3,用于临床文档的编码,目的是确保异构卫生信息系统之间的语法和语义互操作性。最近,针对HL7 V2和V3中存在的限制,HL7定义了新的标准FHIR。在意大利,CDA 2是临床文件存储的参考标准。为了鼓励FHIR的广泛应用,我们提出了一个架构模型,该模型能够i)接收关于CDA文档中包含的临床数据的查询,ii)识别所需信息,以及iii)基于几种CDA到FHIR映射模式,将其作为FHIR资源呈现。我们专注于从意大利患者摘要中提取信息,这是患者最重要的临床数据的集合。这种选择强调了使用FHIR标准的优点,因为可以从完整的文档中提取临床感兴趣的颗粒信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
An Architectural Model for Extracting FHIR Resources from CDA Documents
In the last decades, many standards, such as HL7 V2 and V3, have been proposed for the encoding of clinical documents with the purpose of ensuring syntactic and semantic interoperability among heterogeneous health information systems. Recently, HL7 has defined the new standard FHIR in response to limitations existing in HL7 V2 and V3. In Italy, CDA 2 is the reference standard for the storage of clinical documents. In order to encourage FHIR widespread getting its benefits, we propose an architectural model able to i) receive a query about clinical data contained in a CDA document, ii) identify required information, and iii) present it as a FHIR resource, on the basis of several CDA to FHIR mapping schemas. We focus on the information extraction from the Italian Patient Summary, a collection of the patient's most significant clinical data. This choice emphasizes the advantages of using FHIR standard due to the possibility of extracting granular information of clinical interest from a full document.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Consensus as a Nash Equilibrium of a Dynamic Game An Ontology-Based Augmented Reality Application Exploring Contextual Data of Cultural Heritage Sites All-in-One Mobile Outdoor Augmented Reality Framework for Cultural Heritage Sites 3D Visual-Based Human Motion Descriptors: A Review Tags and Information Recollection
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1