Suppr超能文献

成像与医疗保健中的计算机:现状与未来。

Computers in imaging and health care: now and in the future.

作者信息

Arenson R L, Andriole K P, Avrin D E, Gould R G

机构信息

Department of Radiology, University of California, San Francisco 94143-0628, USA.

出版信息

J Digit Imaging. 2000 Nov;13(4):145-56. doi: 10.1007/BF03168389.

Abstract

Early picture archiving and communication systems (PACS) were characterized by the use of very expensive hardware devices, cumbersome display stations, duplication of database content, lack of interfaces to other clinical information systems, and immaturity in their understanding of the folder manager concepts and workflow reengineering. They were implemented historically at large academic medical centers by biomedical engineers and imaging informaticists. PACS were nonstandard, home-grown projects with mixed clinical acceptance. However, they clearly showed the great potential for PACS and filmless medical imaging. Filmless radiology is a reality today. The advent of efficient softcopy display of images provides a means for dealing with the ever-increasing number of studies and number of images per study. Computer power has increased, and archival storage cost has decreased to the extent that the economics of PACS is justifiable with respect to film. Network bandwidths have increased to allow large studies of many megabytes to arrive at display stations within seconds of examination completion. PACS vendors have recognized the need for efficient workflow and have built systems with intelligence in the management of patient data. Close integration with the hospital information system (HIS)-radiology information system (RIS) is critical for system functionality. Successful implementation of PACS requires integration or interoperation with hospital and radiology information systems. Besides the economic advantages, secure rapid access to all clinical information on patients, including imaging studies, anytime and anywhere, enhances the quality of patient care, although it is difficult to quantify. Medical image management systems are maturing, providing access outside of the radiology department to images and clinical information throughout the hospital or the enterprise via the Internet. Small and medium-sized community hospitals, private practices, and outpatient centers in rural areas will begin realizing the benefits of PACS already realized by the large tertiary care academic medical centers and research institutions. Hand-held devices and the Worldwide Web are going to change the way people communicate and do business. The impact on health care will be huge, including radiology. Computer-aided diagnosis, decision support tools, virtual imaging, and guidance systems will transform our practice as value-added applications utilizing the technologies pushed by PACS development efforts. Outcomes data and the electronic medical record (EMR) will drive our interactions with referring physicians and we expect the radiologist to become the informaticist, a new version of the medical management consultant.

摘要

早期的图像存档与通信系统(PACS)具有以下特点:使用非常昂贵的硬件设备、笨重的显示工作站、数据库内容重复、缺乏与其他临床信息系统的接口,并且对文件夹管理器概念和工作流程重新设计的理解不够成熟。从历史上看,它们是由生物医学工程师和影像信息学家在大型学术医疗中心实施的。PACS是未经标准化的、自主开发的项目,临床接受度参差不齐。然而,它们清楚地展示了PACS和无胶片医学成像的巨大潜力。如今,无胶片放射学已成为现实。高效的图像软拷贝显示的出现为处理日益增多的检查以及每项检查中图像数量的增加提供了一种手段。计算机性能提高了,存档存储成本降低到了这样的程度,即相对于胶片而言,PACS在经济上是合理的。网络带宽增加了,使得许多兆字节的大型检查在检查完成后的几秒钟内就能传输到显示工作站。PACS供应商已经认识到高效工作流程的必要性,并构建了在患者数据管理方面具有智能的系统。与医院信息系统(HIS)-放射学信息系统(RIS)紧密集成对于系统功能至关重要。成功实施PACS需要与医院和放射学信息系统集成或实现互操作。除了经济优势外,可以随时随地安全快速地访问所有患者的临床信息,包括影像检查,这提高了患者护理质量,尽管难以量化。医学图像管理系统正在成熟,通过互联网在放射科之外为整个医院或企业提供对图像和临床信息的访问。中小型社区医院、私人诊所和农村地区的门诊中心将开始实现大型三级医疗学术医疗中心和研究机构已经实现的PACS的益处。手持设备和万维网将改变人们交流和开展业务的方式。对医疗保健的影响将是巨大的,包括放射学领域。计算机辅助诊断、决策支持工具、虚拟成像和引导系统将利用PACS开发工作推动的技术作为增值应用来改变我们的实践。结果数据和电子病历(EMR)将推动我们与转诊医生的互动,并且我们期望放射科医生成为信息学家,即新版的医疗管理顾问。

相似文献

3
The future of PACS in healthcare enterprises.医疗企业中 PACS 的未来。
Eur J Radiol. 2011 May;78(2):253-8. doi: 10.1016/j.ejrad.2010.06.043. Epub 2010 Jul 14.

引用本文的文献

10
Biomedical informatics and translational medicine.生物医学信息学与转化医学。
J Transl Med. 2010 Feb 26;8:22. doi: 10.1186/1479-5876-8-22.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验