Acuo PACS system on Blade server infrastructure

刀片服务器基础设施上的 Acuo PACS 系统

• 批准号: 8053593
• 负责人: Samuel G. Armato
• 金额: $ 35.7万
• 依托单位: UNIVERSITY OF CHICAGO
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-05-01 至 2014-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8053593
• 关键词: Academic Medical Centers; Address; Animals; Archives; Basic Science; Biomedical Research; Chicago; Clinical; Clinical Data; Clinical Research; Communication; Computers; Confidentiality; Confidentiality of Patient Information; Data; Databases; Diagnostic; Electronics; Ensure; Environment; Evaluation; Foundations; Future; Genetic; Goals; Health; Health Insurance Portability and Accountability Act; Histopathology; Human; Human Subject Research; Image; Image Analysis; Informatics; Interdisciplinary Study; Laboratories; Language; Link; Medical Imaging; Medicine; Metadata; Nature; Patients; Picture Archiving and Communication System; Radiology Specialty; Research; Research Infrastructure; Research Personnel; Resources; Secure; Solutions; System; Time; Universities; advanced system; bioimaging; data mining; design; digital imaging; electronic data; human subject; image visualization; instrument; public health relevance; research study; web based interface

DESCRIPTION (provided by applicant): We propose to purchase a research picture archiving and communications system (PACS). PACS systems have become the foundation of the modern electronic radiology department. These systems are tailored to the needs and workflow of a radiology department by linking medical imaging systems with diagnostic displays and by providing long-term storage of patient images so that comparison studies may be efficiently retrieved. The standard clinical PACS, however, moves images in DICOM (digital imaging and communications in medicine) format along with the patient-identifying information that is essential to proper patient management. This patient information, known as protected health information (PHI) in the language of the Health Insurance Portability and Accountability Act (HIPAA), often must be anonymized prior to the research use of images and associated clinical information. Academic medical centers spend considerable resources to address the challenges imposed by the need for HIPAA compliance. The ideal environment would ensure that investigators never have access to PHI to avoid a potential breach of confidentiality. The standard clinical PACS also lack the ability to store and manage non-DICOM images and metadata such as small animal images, histopathology images, and microarray images. These images lack a standard archiving and viewing paradigm so that they effectively are inaccessible to anyone outside the local laboratory. Consequently, investigators in these domains are deprived of a resource that could greatly facilitate the conduct of their research. Coordination of interdisciplinary studies across multiple departments, robust organization of electronic data, and data-mining capabilities all suffer from this deficit. The proposed research PACS will provide a unified solution to both issues. Fully anonymized images will be stored in the research PACS along with metadata and other clinical data. Research findings may also be archived. Non-DICOM images, along with associated metadata and research findings, also will be stored in the research PACS. Local access for visualization and image manipulation will be possible through the PACS workstation that will be connected to the PACS server. Remote access by University of Chicago investigators will be achieved through a secure web-based interface. Completely HIPAA-compliant images may then be downloaded to an investigator's local computer for advanced, project-specific image analyses. Our long-term goal is to develop the research PACS into a resource for all biomedical imaging investigators at the University of Chicago. The system will reside within an existing, comprehensive network that links users and clinical databases through a gateway controlled by an electronic honest broker. The research PACS will provide a powerful instrument in this framework to integrate informatics, non-human images, and HIPAA- compliant biomedical research efforts. This advanced system will enhance the ability of imaging investigators to conduct interdisciplinary basic science, translational, and clinical studies to promote human health. Public Health Relevance: Research involving biomedical images generates an extraordinary amount of data that must be captured, analyzed, stored, and accessible for future evaluation, while at the same time the confidentiality of patients' identities must be secured when human subject's data are used. The proposed dedicated research picture archiving and communications system (PACS) will store and manage (1) fully anonymized medical images along with other clinical data and research findings obtained from approved human subjects research studies and (2) other images such as small animal images, histopathology images, and genetic microarray images, which currently lack a standard archiving and viewing approach so that they effectively are inaccessible to anyone outside the local laboratory. The dedicated research PACS will allow (1) coordination of interdisciplinary studies across multiple departments, (2) robust organization of electronic data, and (3) datamining capabilities that will directly enhance the ability of biomedical imaging investigators to conduct successful, interdisciplinary studies of a basic science, translational, or clinical nature designed to promote human health.

描述（由申请人提供）：我们建议购买研究图片归档和通信系统（PACS）。 PACS系统已成为现代电子放射科的基础。这些系统是通过将医学成像系统与诊断显示器联系起来并提供长期存储患者图像来量身定制的，以便有效地检索了比较研究。但是，标准的临床PAC可移动DICOM（医学成像和通信）格式的图像以及对患者管理至关重要的患者识别信息。该患者信息，被称为“健康保险可移植性和问责法”（HIPAA）语言的受保护的健康信息（PHI），通常必须在研究使用图像和相关临床信息之前匿名化。学术医疗中心花费大量资源来应对HIPAA合规性所带来的挑战。理想的环境将确保调查人员无法获得PHI，以避免潜在的违反机密性。标准的临床PACs还缺乏存储和管理非二聚体图像和元数据的能力，例如小动物图像，组织病理学图像和微阵列图像。这些图像缺乏标准的归档和观看范式，因此当地实验室以外的任何人都无法获得它们。因此，这些领域中的调查人员被剥夺了可以极大地促进其研究的资源。跨多个部门的跨学科研究协调，电子数据的强大组织和数据挖掘功能都遭受了这种赤字。拟议的研究PAC将为这两个问题提供统一的解决方案。完全匿名的图像将与元数据和其他临床数据一起存储在研究PAC中。研究发现也可能被存档。非二聚体图像以及相关的元数据和研究结果也将存储在研究PAC中。通过将连接到PACS服务器的PACS工作站，将有可能可视化和图像操作的本地访问。芝加哥大学调查人员的远程访问将通过安全的基于Web的界面来实现。然后可以将完全符合HIPAA的图像下载到研究者的本地计算机上，以进行高级项目特定图像分析。我们的长期目标是将研究PACS开发为芝加哥大学所有生物医学成像研究人员的资源。该系统将位于现有的全面网络中，该网络通过由电子诚实经纪人控制的网关链接用户和临床数据库。研究PACS将在此框架中提供强大的工具，以整合信息学，非人类图像和HIPAA-兼容的生物医学研究工作。该先进的系统将增强成像研究人员进行跨学科基础科学，翻译和临床研究以促进人类健康的能力。 公共卫生相关性：涉及生物医学图像的研究产生了大量的数据，必须捕获，分析，存储和访问以进行将来的评估，同时必须在使用人类受试者的数据时确保患者身份的机密性。拟议的专门研究图片归档和通信系统（PACS）将存储和管理（1）完全匿名的医学图像以及其他临床数据和从认可的人类受试者研究中获得的研究结果以及（2）其他图像，例如小动物图像，组织病理学图像，组织病理学图像和遗传微阵列图像，这些图像目前缺乏有效的标准档案和观察性，以至于他们在本地效果上都缺乏本地效果。专门的研究PACS将允许（1）跨多个部门的跨学科研究协调，（2）稳健的电子数据组织，以及（3）数据进行功能，这些功能将直接增强生物医学成像研究人员进行成功的，跨学科研究的能力，对基础科学，转化或促进人类健康的临床性质进行跨学科研究。