[数字化和临床决策工具]

IF 1.1 4区 医学 Q4 CARDIAC & CARDIOVASCULAR SYSTEMS
Herz Pub Date : 2024-06-01 Epub Date: 2024-03-07 DOI:10.1007/s00059-024-05242-5
C Reich, N Frey, E Giannitsis
{"title":"[数字化和临床决策工具]","authors":"C Reich, N Frey, E Giannitsis","doi":"10.1007/s00059-024-05242-5","DOIUrl":null,"url":null,"abstract":"<p><p>Digitalization in cardiovascular emergencies is rapidly evolving, analogous to the development in medicine, driven by the increasingly broader availability of digital structures and improved networks, electronic health records and the interconnectivity of systems. The potential use of digital health in patients with acute chest pain starts even in the prehospital phase with the transmission of a digital electrocardiogram (ECG) as well as telemedical support and digital emergency management, which facilitate optimization of the rescue pathways and reduce critical time intervals. The increasing dissemination and acceptance of guideline apps and clinical decision support tools as well as integrated calculators and electronic scores are anticipated to improve guideline adherence, translating into a better quality of treatment and improved outcomes. Implementation of artificial intelligence to support image analysis and also the prediction of coronary artery stenosis requiring interventional treatment or impending cardiovascular events, such as heart attacks or death, have an enormous potential especially as conventional instruments frequently yield suboptimal results; however, there are barriers to the rapid dissemination of corresponding decision aids, such as the regulatory rules related to approval as a medical product, data protection issues and other legal liability aspects, which must be considered.</p>","PeriodicalId":12863,"journal":{"name":"Herz","volume":" ","pages":"190-197"},"PeriodicalIF":1.1000,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"[Digitalization and clinical decision tools].\",\"authors\":\"C Reich, N Frey, E Giannitsis\",\"doi\":\"10.1007/s00059-024-05242-5\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Digitalization in cardiovascular emergencies is rapidly evolving, analogous to the development in medicine, driven by the increasingly broader availability of digital structures and improved networks, electronic health records and the interconnectivity of systems. The potential use of digital health in patients with acute chest pain starts even in the prehospital phase with the transmission of a digital electrocardiogram (ECG) as well as telemedical support and digital emergency management, which facilitate optimization of the rescue pathways and reduce critical time intervals. The increasing dissemination and acceptance of guideline apps and clinical decision support tools as well as integrated calculators and electronic scores are anticipated to improve guideline adherence, translating into a better quality of treatment and improved outcomes. Implementation of artificial intelligence to support image analysis and also the prediction of coronary artery stenosis requiring interventional treatment or impending cardiovascular events, such as heart attacks or death, have an enormous potential especially as conventional instruments frequently yield suboptimal results; however, there are barriers to the rapid dissemination of corresponding decision aids, such as the regulatory rules related to approval as a medical product, data protection issues and other legal liability aspects, which must be considered.</p>\",\"PeriodicalId\":12863,\"journal\":{\"name\":\"Herz\",\"volume\":\" \",\"pages\":\"190-197\"},\"PeriodicalIF\":1.1000,\"publicationDate\":\"2024-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Herz\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1007/s00059-024-05242-5\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/3/7 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q4\",\"JCRName\":\"CARDIAC & CARDIOVASCULAR SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Herz","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s00059-024-05242-5","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/3/7 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"CARDIAC & CARDIOVASCULAR SYSTEMS","Score":null,"Total":0}
引用次数: 0

摘要

心血管急症领域的数字化正在迅速发展,这与医学领域的发展类似,其驱动力是日益广泛的数字结构、改进的网络、电子健康记录和系统的互联互通。数字医疗在急性胸痛患者中的潜在应用甚至始于院前阶段,如传输数字心电图(ECG)以及远程医疗支持和数字急救管理,这有助于优化抢救路径并缩短关键的时间间隔。指南应用程序和临床决策支持工具以及综合计算器和电子评分的传播和接受程度不断提高,预计将改善指南的遵守情况,从而提高治疗质量并改善预后。采用人工智能支持图像分析,以及预测需要介入治疗的冠状动脉狭窄或即将发生的心血管事件(如心脏病发作或死亡),具有巨大的潜力,尤其是在传统工具经常产生次优结果的情况下;然而,相应决策辅助工具的快速推广也存在障碍,如与医疗产品审批相关的监管规则、数据保护问题和其他法律责任方面,这些都是必须考虑的问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

[Digitalization and clinical decision tools].

[Digitalization and clinical decision tools].

Digitalization in cardiovascular emergencies is rapidly evolving, analogous to the development in medicine, driven by the increasingly broader availability of digital structures and improved networks, electronic health records and the interconnectivity of systems. The potential use of digital health in patients with acute chest pain starts even in the prehospital phase with the transmission of a digital electrocardiogram (ECG) as well as telemedical support and digital emergency management, which facilitate optimization of the rescue pathways and reduce critical time intervals. The increasing dissemination and acceptance of guideline apps and clinical decision support tools as well as integrated calculators and electronic scores are anticipated to improve guideline adherence, translating into a better quality of treatment and improved outcomes. Implementation of artificial intelligence to support image analysis and also the prediction of coronary artery stenosis requiring interventional treatment or impending cardiovascular events, such as heart attacks or death, have an enormous potential especially as conventional instruments frequently yield suboptimal results; however, there are barriers to the rapid dissemination of corresponding decision aids, such as the regulatory rules related to approval as a medical product, data protection issues and other legal liability aspects, which must be considered.

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
Herz
Herz 医学-心血管系统
CiteScore
3.00
自引率
5.90%
发文量
61
审稿时长
4-8 weeks
期刊介绍: Herz is the high-level journal for further education for all physicians interested in cardiology. The individual issues of the journal each deal with specific topics and comprise review articles in English and German written by competent and esteemed authors. They provide up-to-date and comprehensive information concerning the speciality dealt with in the issue. Due to the fact that all relevant aspects of the pertinent topic of an issue are considered, an overview of the current status and progress in cardiology is presented. Reviews and original articles round off the spectrum of information provided.
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信