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云计算在德国医疗保健系统中的应用。

Implementation of cloud computing in the German healthcare system.

作者信息

Putzier M, Khakzad T, Dreischarf M, Thun S, Trautwein F, Taheri N

机构信息

Center for Musculoskeletal Surgery, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany.

RAYLYTIC GmBH, Petersstraße 32 - 34, 04109, Leipzig, Germany.

出版信息

NPJ Digit Med. 2024 Jan 13;7(1):12. doi: 10.1038/s41746-024-01000-3.

DOI:10.1038/s41746-024-01000-3
PMID:38218892
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10787755/
Abstract

With the advent of artificial intelligence and Big Data - projects, the necessity for a transition from analog medicine to modern-day solutions such as cloud computing becomes unavoidable. Even though this need is now common knowledge, the process is not always easy to start. Legislative changes, for example at the level of the European Union, are helping the respective healthcare systems to take the necessary steps. This article provides an overview of how a German university hospital is dealing with European data protection laws on the integration of cloud computing into everyday clinical practice. By describing our model approach, we aim to identify opportunities and possible pitfalls to sustainably influence digitization in Germany.

摘要

随着人工智能和大数据项目的出现,从传统医学向云计算等现代解决方案转型变得势在必行。尽管这种需求如今已广为人知,但启动这一进程并非总是轻而易举。例如,欧盟层面的立法变革正在帮助各医疗保健系统采取必要措施。本文概述了德国一家大学医院如何应对将云计算融入日常临床实践的欧洲数据保护法。通过描述我们的示范方法,我们旨在识别机遇和可能的陷阱,以可持续地影响德国的数字化进程。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1937/10787755/fbe17c2a623e/41746_2024_1000_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1937/10787755/03bcce9ed873/41746_2024_1000_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1937/10787755/fbe17c2a623e/41746_2024_1000_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1937/10787755/03bcce9ed873/41746_2024_1000_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1937/10787755/fbe17c2a623e/41746_2024_1000_Fig2_HTML.jpg

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本文引用的文献

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2
Blockchain and cloud computing-based secure electronic healthcare records storage and sharing.基于区块链和云计算的安全电子医疗记录存储和共享。
Front Public Health. 2022 Jul 19;10:938707. doi: 10.3389/fpubh.2022.938707. eCollection 2022.
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Fast Healthcare Interoperability Resources (FHIR) for Interoperability in Health Research: Systematic Review.用于健康研究互操作性的快速医疗保健互操作性资源(FHIR):系统评价
塑造医疗保健的未来:伦理临床挑战与可信人工智能之路。
J Clin Med. 2025 Feb 27;14(5):1605. doi: 10.3390/jcm14051605.
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[Focus: artificial intelligence in medicine-Legal aspects of using large language models in clinical practice].[聚焦:医学中的人工智能——临床实践中使用大语言模型的法律问题]
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An institutional framework to support ethical fair and equitable artificial intelligence augmented care.一个支持符合伦理、公平且公正的人工智能辅助医疗的制度框架。
NPJ Digit Med. 2025 Feb 5;8(1):84. doi: 10.1038/s41746-025-01490-9.
JMIR Med Inform. 2022 Jul 19;10(7):e35724. doi: 10.2196/35724.
4
Can artificial intelligence support or even replace physicians in measuring sagittal balance? A validation study on preoperative and postoperative full spine images of 170 patients.人工智能能否支持甚至取代医生来测量矢状平衡?对 170 例全脊柱术前和术后图像的验证研究。
Eur Spine J. 2022 Aug;31(8):1943-1951. doi: 10.1007/s00586-022-07309-5. Epub 2022 Jul 7.
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The Rise of Cloud Computing: Data Protection, Privacy, and Open Research Challenges-A Systematic Literature Review (SLR).云计算的兴起:数据保护、隐私和开放研究的挑战——系统文献综述 (SLR)。
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