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[德国创伤外科学会创伤网络利用数字解决方案的可能性]

[Possibilities of the utilization of trauma networks of the German Society for Trauma Surgery using digital solutions].

作者信息

Lehmann Wolfgang, Blaschke Sabine, Schweigkofler Uwe, Spering Christopher

机构信息

Klinik für Unfallchirurgie, Orthopädie und Plastische Chirurgie, Universitätsmedizin Göttingen, Georg-August-Universität, Robert-Koch-Straße 40, 37099, Göttingen, Deutschland.

Klinik für Unfallchirurgie und Orthopädie, BG Unfallklinik Frankfurt am Main, Frankfurt am Main, Deutschland.

出版信息

Unfallchirurgie (Heidelb). 2024 Dec;127(12):849-854. doi: 10.1007/s00113-024-01485-3. Epub 2024 Oct 9.

DOI:10.1007/s00113-024-01485-3
PMID:39384583
Abstract

This paper describes the use of digital solutions to improve the care of trauma patients in Germany. The focus is on the trauma networks of the German Society for Trauma Surgery (Deutsche Gesellschaft für Unfallchirurgie, DGU). The use of digital solutions includes quality assurance through the TraumaRegister, which enables comprehensive data analysis as well as preregistration and resource utilization through programs such as the interdisciplinary proof of treatment IVENA eHealth, Rescuetrack and Rescue-Net. In addition, Predictive Hospital Resource Planning is presented, which optimizes resource forecasting using artificial intelligence (AI). Telemedical services such as Medgate and teleradiology solutions (Nexus/Chili) offer additional support, especially in rural areas. The paper shows how the digitalization of medical care is crucial to improving the efficiency and quality of treatment of trauma patients. In addition, the paper shows possible developments in the field of clinical decision making through AI.

摘要

本文介绍了德国利用数字解决方案改善创伤患者护理的情况。重点是德国创伤外科学会(Deutsche Gesellschaft für Unfallchirurgie, DGU)的创伤网络。数字解决方案的应用包括通过创伤登记进行质量保证,创伤登记可实现全面的数据分析,以及通过诸如跨学科治疗证明IVENA电子健康、救援追踪和救援网络等程序进行预登记和资源利用。此外,还介绍了预测性医院资源规划,该规划利用人工智能(AI)优化资源预测。远程医疗服务,如Medgate和远程放射学解决方案(Nexus/Chili),尤其在农村地区提供了额外支持。本文展示了医疗护理数字化对于提高创伤患者治疗效率和质量的关键作用。此外,本文还展示了人工智能在临床决策领域可能的发展情况。

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Unfallchirurgie (Heidelb). 2025 Aug 5. doi: 10.1007/s00113-025-01614-6.

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A Federated and Distributed Data Management Infrastructure to Enable Public Health Surveillance from Intensive Care Unit Data.一种联邦和分布式数据管理基础设施,用于从重症监护病房数据中进行公共卫生监测。
Stud Health Technol Inform. 2022 May 25;294:490-494. doi: 10.3233/SHTI220507.
2
[AKTIN - The German Emergency Department Data Registry - real-time data from emergency medicine : Implementation and first results from 15 emergency departments with focus on Federal Joint Committee's guidelines on acuity assessment].[德国急诊科数据登记处(AKTIN)——来自急诊医学的实时数据:15个急诊科的实施情况及初步结果,重点关注联邦联合委员会的 acuity 评估指南]
Med Klin Intensivmed Notfmed. 2022 Feb;117(1):24-33. doi: 10.1007/s00063-020-00764-2. Epub 2020 Dec 21.
3
[Teleradiology in the TraumaNetwork DGU®].[创伤网络DGU®中的远程放射学]
Unfallchirurg. 2019 Sep;122(9):676-682. doi: 10.1007/s00113-019-0691-z.
4
Closure simulation for reduction of emergency patient diversion: a discrete agent-based simulation approach to minimizing ambulance diversion.紧急患者分流减少的闭合模拟:最小化救护车分流的离散代理基模拟方法。
Eur J Med Res. 2018 Jun 8;23(1):32. doi: 10.1186/s40001-018-0330-0.