Evaluating Interoperability in German Critical Incident Reporting Systems.

Q3 Health Professions Studies in Health Technology and Informatics Pub Date : 2023-09-12 DOI:10.3233/SHTI230722
Laura Tetzlaff, Anne-Maria Purohit, Jacob Spallek, Christine Holmberg, Thomas Schrader
{"title":"Evaluating Interoperability in German Critical Incident Reporting Systems.","authors":"Laura Tetzlaff,&nbsp;Anne-Maria Purohit,&nbsp;Jacob Spallek,&nbsp;Christine Holmberg,&nbsp;Thomas Schrader","doi":"10.3233/SHTI230722","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>In industrialised countries, one in ten patients suffers harm during hospitalization. Critical Incident Reporting Systems (CIRS) aim to minimize this by learning from errors and identifying potential risks. However, a lack of interoperability among the 16 CIRS in Germany hampers their effectiveness.</p><p><strong>Methods: </strong>This study investigates reports' syntactic and semantic interoperability across seven different reporting systems. Syntactic interoperability was examined using WHO's Minimal Information Models (MIM), while semantic interoperability was evaluated with SNOMED concepts.</p><p><strong>Results: </strong>The findings reveal a low structural overlap, with only two terms correctly represented in the SNOMED CT terminology. In addition, most systems showed no syntactic interoperability.</p><p><strong>Conclusion: </strong>Improving interoperability is essential for increasing the effectiveness and usability of CIRS. The study suggests a unified data model such as MIM or using Health Level 7 Fast Healthcare Interoperability Resources (HL7 FHIR) resources and expanding SNOMED CT with patient safety-relevant terms for semantic interoperability. Given the current lack of both syntactic and semantic interoperability in CIRS, developing a patient safety ontology is recommended for efficient critical incident analysis too.</p>","PeriodicalId":39242,"journal":{"name":"Studies in Health Technology and Informatics","volume":"307 ","pages":"249-257"},"PeriodicalIF":0.0000,"publicationDate":"2023-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Studies in Health Technology and Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3233/SHTI230722","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Health Professions","Score":null,"Total":0}
引用次数: 0

Abstract

Introduction: In industrialised countries, one in ten patients suffers harm during hospitalization. Critical Incident Reporting Systems (CIRS) aim to minimize this by learning from errors and identifying potential risks. However, a lack of interoperability among the 16 CIRS in Germany hampers their effectiveness.

Methods: This study investigates reports' syntactic and semantic interoperability across seven different reporting systems. Syntactic interoperability was examined using WHO's Minimal Information Models (MIM), while semantic interoperability was evaluated with SNOMED concepts.

Results: The findings reveal a low structural overlap, with only two terms correctly represented in the SNOMED CT terminology. In addition, most systems showed no syntactic interoperability.

Conclusion: Improving interoperability is essential for increasing the effectiveness and usability of CIRS. The study suggests a unified data model such as MIM or using Health Level 7 Fast Healthcare Interoperability Resources (HL7 FHIR) resources and expanding SNOMED CT with patient safety-relevant terms for semantic interoperability. Given the current lack of both syntactic and semantic interoperability in CIRS, developing a patient safety ontology is recommended for efficient critical incident analysis too.

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
评估德国关键事件报告系统的互操作性。
在工业化国家,十分之一的病人在住院期间受到伤害。关键事件报告系统(CIRS)旨在通过从错误中学习和识别潜在风险来最大限度地减少这种情况。然而,德国16个CIRS之间缺乏互操作性阻碍了它们的有效性。方法:本研究考察了七种不同报告系统中报告的句法和语义互操作性。句法互操作性使用世界卫生组织的最小信息模型(MIM)进行了检查,而语义互操作性则使用SNOMED概念进行了评估。结果:结果显示低结构重叠,只有两个术语在SNOMED CT术语中正确表示。此外,大多数系统没有语法互操作性。结论:提高互操作性对提高CIRS的有效性和可用性至关重要。该研究建议使用统一的数据模型,如MIM或使用Health Level 7 Fast Healthcare Interoperability Resources (HL7 FHIR)资源,并使用与患者安全相关的术语扩展SNOMED CT,以实现语义互操作性。鉴于CIRS目前缺乏语法和语义互操作性,建议开发患者安全本体以进行有效的关键事件分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Studies in Health Technology and Informatics
Studies in Health Technology and Informatics Health Professions-Health Information Management
CiteScore
1.20
自引率
0.00%
发文量
1463
期刊介绍: This book series was started in 1990 to promote research conducted under the auspices of the EC programmes’ Advanced Informatics in Medicine (AIM) and Biomedical and Health Research (BHR) bioengineering branch. A driving aspect of international health informatics is that telecommunication technology, rehabilitative technology, intelligent home technology and many other components are moving together and form one integrated world of information and communication media.
期刊最新文献
Virtual Reality Assessment Reveals Myopic Regression After ICL Implantation in High Myopia. Construction of Guideline-Based Decision Tree for Medication Recommendation. Systemic Risk Management Plan for Electronic Medical Records (EMR): Why and How? Mental Health Patient Portals Aimed at Depression: A Picture Close to Reality. Mettertron - Bridging Metadata Repositories and Terminology Servers.
×
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