TraumaFlow - 为严重创伤病例的管理开发基于工作流程的临床决策支持系统。

IF 2.3 3区 医学 Q3 ENGINEERING, BIOMEDICAL International Journal of Computer Assisted Radiology and Surgery Pub Date : 2024-12-01 Epub Date: 2024-05-30 DOI:10.1007/s11548-024-03191-2
Juliane Neumann, Christoph Vogel, Lisa Kießling, Gunther Hempel, Christian Kleber, Georg Osterhoff, Thomas Neumuth
{"title":"TraumaFlow - 为严重创伤病例的管理开发基于工作流程的临床决策支持系统。","authors":"Juliane Neumann, Christoph Vogel, Lisa Kießling, Gunther Hempel, Christian Kleber, Georg Osterhoff, Thomas Neumuth","doi":"10.1007/s11548-024-03191-2","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>The treatment of severely injured patients in the resuscitation room of an emergency department requires numerous critical decisions, often under immense time pressure, which places very high demands on the facility and the interdisciplinary team. Computer-based cognitive aids are a valuable tool, especially in education and training of medical professionals. For the management of polytrauma cases, TraumaFlow, a workflow management-based clinical decision support system, was developed. The system supports the registration and coordination of activities in the resuscitation room and actively recommends diagnosis and treatment actions.</p><p><strong>Methods: </strong>Based on medical guidelines, a resuscitation room algorithm was developed according to the cABCDE scheme. The algorithm was then modeled using the process description language BPMN 2.0 and implemented in a workflow management system. In addition, a web-based user interface that provides assistance functions was developed. An evaluation study was conducted with 11 final-year medical students and three residents to assess the applicability of TraumaFlow in a case-based training scenario.</p><p><strong>Results: </strong>TraumaFlow significantly improved guideline-based decision-making, provided more complete therapy, and reduced treatment errors. The system was shown to be beneficial not only for the education of low- and medium-experienced users but also for the training of highly experienced physicians. 92% of the participants felt more confident with computer-aided decision support and considered TraumaFlow useful for the training of polytrauma treatment. In addition, 62% acknowledged a higher training effect.</p><p><strong>Conclusion: </strong>TraumaFlow enables real-time decision support for the treatment of polytrauma patients. It improves guideline-based decision-making in complex and critical situations and reduces treatment errors. Supporting functions, such as the automatic treatment documentation and the calculation of medical scores, enable the trauma team to focus on the primary task. TraumaFlow was developed to support the training of medical students and experienced professionals. Each training session is documented and can be objectively and qualitatively evaluated.</p>","PeriodicalId":51251,"journal":{"name":"International Journal of Computer Assisted Radiology and Surgery","volume":" ","pages":"2399-2409"},"PeriodicalIF":2.3000,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"TraumaFlow-development of a workflow-based clinical decision support system for the management of severe trauma cases.\",\"authors\":\"Juliane Neumann, Christoph Vogel, Lisa Kießling, Gunther Hempel, Christian Kleber, Georg Osterhoff, Thomas Neumuth\",\"doi\":\"10.1007/s11548-024-03191-2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>The treatment of severely injured patients in the resuscitation room of an emergency department requires numerous critical decisions, often under immense time pressure, which places very high demands on the facility and the interdisciplinary team. Computer-based cognitive aids are a valuable tool, especially in education and training of medical professionals. For the management of polytrauma cases, TraumaFlow, a workflow management-based clinical decision support system, was developed. The system supports the registration and coordination of activities in the resuscitation room and actively recommends diagnosis and treatment actions.</p><p><strong>Methods: </strong>Based on medical guidelines, a resuscitation room algorithm was developed according to the cABCDE scheme. The algorithm was then modeled using the process description language BPMN 2.0 and implemented in a workflow management system. In addition, a web-based user interface that provides assistance functions was developed. An evaluation study was conducted with 11 final-year medical students and three residents to assess the applicability of TraumaFlow in a case-based training scenario.</p><p><strong>Results: </strong>TraumaFlow significantly improved guideline-based decision-making, provided more complete therapy, and reduced treatment errors. The system was shown to be beneficial not only for the education of low- and medium-experienced users but also for the training of highly experienced physicians. 92% of the participants felt more confident with computer-aided decision support and considered TraumaFlow useful for the training of polytrauma treatment. In addition, 62% acknowledged a higher training effect.</p><p><strong>Conclusion: </strong>TraumaFlow enables real-time decision support for the treatment of polytrauma patients. It improves guideline-based decision-making in complex and critical situations and reduces treatment errors. Supporting functions, such as the automatic treatment documentation and the calculation of medical scores, enable the trauma team to focus on the primary task. TraumaFlow was developed to support the training of medical students and experienced professionals. Each training session is documented and can be objectively and qualitatively evaluated.</p>\",\"PeriodicalId\":51251,\"journal\":{\"name\":\"International Journal of Computer Assisted Radiology and Surgery\",\"volume\":\" \",\"pages\":\"2399-2409\"},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2024-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Computer Assisted Radiology and Surgery\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1007/s11548-024-03191-2\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/5/30 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q3\",\"JCRName\":\"ENGINEERING, BIOMEDICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Computer Assisted Radiology and Surgery","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1007/s11548-024-03191-2","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/5/30 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"ENGINEERING, BIOMEDICAL","Score":null,"Total":0}
引用次数: 0

摘要

目的:在急诊科抢救室救治重伤员需要做出许多关键决定,而且往往面临巨大的时间压力,这对医疗设施和跨学科团队提出了很高的要求。基于计算机的认知辅助工具是一种宝贵的工具,尤其是在教育和培训医疗专业人员方面。为了管理多发性创伤病例,我们开发了基于工作流程管理的临床决策支持系统 TraumaFlow。该系统支持复苏室活动的登记和协调,并积极推荐诊断和治疗行动:方法:根据医疗指南,按照 cABCDE 方案开发了复苏室算法。然后使用流程描述语言 BPMN 2.0 对该算法进行建模,并在工作流程管理系统中实施。此外,还开发了一个提供辅助功能的网络用户界面。对 11 名毕业班医学生和 3 名住院医师进行了评估研究,以评估 TraumaFlow 在基于病例的培训场景中的适用性:结果:TraumaFlow 明显改善了基于指南的决策,提供了更全面的治疗,并减少了治疗错误。结果表明,该系统不仅有利于教育中低经验用户,也有利于培训经验丰富的医生。92% 的参与者对计算机辅助决策支持更有信心,并认为 TraumaFlow 对多发性创伤治疗培训非常有用。此外,62%的人认为培训效果更好:结论:TraumaFlow 可为多发性创伤患者的治疗提供实时决策支持。结论:TraumaFlow 可为多发性创伤患者的治疗提供实时决策支持,改善在复杂和危急情况下基于指南的决策,减少治疗失误。自动治疗记录和医疗评分计算等辅助功能可使创伤团队专注于主要任务。TraumaFlow 的开发旨在支持医学生和经验丰富的专业人员的培训。每次培训都会记录在案,并可进行客观和定性评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

摘要图片

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
TraumaFlow-development of a workflow-based clinical decision support system for the management of severe trauma cases.

Purpose: The treatment of severely injured patients in the resuscitation room of an emergency department requires numerous critical decisions, often under immense time pressure, which places very high demands on the facility and the interdisciplinary team. Computer-based cognitive aids are a valuable tool, especially in education and training of medical professionals. For the management of polytrauma cases, TraumaFlow, a workflow management-based clinical decision support system, was developed. The system supports the registration and coordination of activities in the resuscitation room and actively recommends diagnosis and treatment actions.

Methods: Based on medical guidelines, a resuscitation room algorithm was developed according to the cABCDE scheme. The algorithm was then modeled using the process description language BPMN 2.0 and implemented in a workflow management system. In addition, a web-based user interface that provides assistance functions was developed. An evaluation study was conducted with 11 final-year medical students and three residents to assess the applicability of TraumaFlow in a case-based training scenario.

Results: TraumaFlow significantly improved guideline-based decision-making, provided more complete therapy, and reduced treatment errors. The system was shown to be beneficial not only for the education of low- and medium-experienced users but also for the training of highly experienced physicians. 92% of the participants felt more confident with computer-aided decision support and considered TraumaFlow useful for the training of polytrauma treatment. In addition, 62% acknowledged a higher training effect.

Conclusion: TraumaFlow enables real-time decision support for the treatment of polytrauma patients. It improves guideline-based decision-making in complex and critical situations and reduces treatment errors. Supporting functions, such as the automatic treatment documentation and the calculation of medical scores, enable the trauma team to focus on the primary task. TraumaFlow was developed to support the training of medical students and experienced professionals. Each training session is documented and can be objectively and qualitatively evaluated.

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
International Journal of Computer Assisted Radiology and Surgery
International Journal of Computer Assisted Radiology and Surgery ENGINEERING, BIOMEDICAL-RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
CiteScore
5.90
自引率
6.70%
发文量
243
审稿时长
6-12 weeks
期刊介绍: The International Journal for Computer Assisted Radiology and Surgery (IJCARS) is a peer-reviewed journal that provides a platform for closing the gap between medical and technical disciplines, and encourages interdisciplinary research and development activities in an international environment.
期刊最新文献
Non-rigid scene reconstruction of deformable soft tissue with monocular endoscopy in minimally invasive surgery. Evaluation of augmented reality training for a navigation device used for CT-guided needle placement. Noctopus: a novel device and method for patient registration and navigation in image-guided cranial surgery. Assessment of intracranial aneurysm neck deformation after contour deployment. TraumaFlow-development of a workflow-based clinical decision support system for the management of severe trauma cases.
×
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