Suppr超能文献

支持在公共云环境下对外包的XDS进行成像处理。

Enabling outsourcing XDS for imaging on the public cloud.

作者信息

Ribeiro Luís S, Rodrigues Renato P, Costa Carlos, Oliveira José Luís

机构信息

Department of Electronics, Telematics and Informatics (DETI) Institute of Electronics and Telematics Engineering of Aveiro (IEETA) University of Aveiro, Portugal.

出版信息

Stud Health Technol Inform. 2013;192:33-7.

Abstract

Picture Archiving and Communication System (PACS) has been the main paradigm in supporting medical imaging workflows during the last decades. Despite its consolidation, the appearance of Cross-Enterprise Document Sharing for imaging (XDS-I), within IHE initiative, constitutes a great opportunity to readapt PACS workflow for inter-institutional data exchange. XDS-I provides a centralized discovery of medical imaging and associated reports. However, the centralized XDS-I actors (document registry and repository) must be deployed in a trustworthy node in order to safeguard patient privacy, data confidentiality and integrity. This paper presents XDS for Protected Imaging (XDS-p), a new approach to XDS-I that is capable of being outsourced (e.g. Cloud Computing) while maintaining privacy, confidentiality, integrity and legal concerns about patients' medical information.

摘要

图像存档与通信系统(PACS)在过去几十年一直是支持医学成像工作流程的主要模式。尽管它已得到巩固,但在整合医疗企业合作(IHE)计划中出现的用于成像的跨企业文档共享(XDS-I),为重新调整PACS工作流程以进行机构间数据交换提供了一个绝佳机会。XDS-I提供了对医学成像及相关报告的集中式发现。然而,XDS-I的集中式参与者(文档注册中心和存储库)必须部署在一个可信赖的节点上,以保护患者隐私、数据保密性和完整性。本文提出了用于受保护成像的XDS(XDS-p),这是一种新的XDS-I方法,能够在维护患者医疗信息的隐私、保密性、完整性和法律问题的同时进行外包(例如云计算)。

相似文献

引用本文的文献

1

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验