Access to distributed de-identified imaging data

访问分布式去识别化成像数据

• 批准号: 6694270
• 负责人: ELLIOT D MENSCHIK
• 金额: $ 25.08万
• 依托单位: HX TECHNOLOGIES, INC.
• 依托单位国家: 美国
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-08-01 至 2005-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6694270
• 关键词: archives; clinical research; computer data analysis; computer system design /evaluation; data management; health care policy; health related legal; human data; imaging /visualization /scanning; information systems

DESCRIPTION (provided by applicant): The widespread adoption of picture archiving and communications systems (PACS) in radiology and the implementation and deployment of the DICOM communication standard represent an opportunity to link multiple PACS at multiple sites into a distributed data warehouse of great potential utility for investigators in oncology research and epidemiology. Where the federal HIPAA privacy regulations have largely been seen as an emerging impediment to oncology research from the creation, management and use of cancer registries to large-scale retrospective studies addressing rarer forms of neoplasia, in fact the digital nature of PACS-based imaging data lends itself to automated de-identification that could transform multiple distributed clinical information systems into a readily accessible treasure trove of research data that falls within the "safe harbor" provisions of HIPAA's privacy regulations. Our firm has developed a platform, originally intended for clinical use, to securely link multiple PACS and RIS from multiple vendors beneath a web interface giving users transparent access to a "virtual archive" spanning an arbitrary number of institutions. In this Phase I SBIR application, we propose to explore the feasibility of extending our system to grant researchers access to large volumes of dynamically de-identified imaging data while surmounting each of the major criticisms of the viability of such data for research purposes. We propose developing an open web-services architecture that will enable straightforward integration with any other information system and propose a design that adheres to existing industry standards while laying the groundwork for compliance with future standards and informatics initiatives. This study will also involve examining the regulation of re-identification through the use of threshold cryptography, as well as the feasibility of a probabilistic sampling search engine intended to prevent unauthorized identification of patients through multiple intersecting queries on narrowing criteria, while still permitting researchers to choose the appropriate resolving power of the engine to suit a particular investigation. These studies will include benchmarking the performance of these dynamic processes, quantifying the load they place on live clinical information systems, and optimizing the design to minimize such impact. Should feasibility be demonstrated, Phase II would involve a proof-of-concept demonstration across multiple academic medical institutions as well as steps to prepare for commercialization including indexing studies based on structured reporting and natural language processing, content-based information retrieval, refinement and usability testing of the web interfaces, and extension of the system to permit IRB-approved research on individually-identifiable data. Commercialization is expected as subscription service not unlike current bioinformatics databases, granting investigators access to a large-scale, globally distributed data warehouse comprised of participating PACS-enabled medical centers.

描述(由申请人提供)： 影像存档和通信系统(PACS)在放射学中的广泛采用以及DICOM通信标准的实施和部署为将多个地点的多个PAC连接到一个分布式数据仓库提供了机会，该数据仓库对肿瘤学研究和流行病学的研究人员具有巨大的潜在实用价值。联邦HIPAA隐私法规在很大程度上被视为肿瘤学研究的新障碍，从创建、管理和使用癌症登记到处理更罕见形式的肿瘤的大规模回顾研究，事实上，基于PACS的成像数据的数字本质有助于自动识别，这可能会将多个分散的临床信息系统转变为一个随时可访问的研究数据宝库，属于HIPAA隐私法规的“安全港”条款。我们公司已经开发了一个最初用于临床的平台，在一个网络界面下将来自多个供应商的多个PAC和RI安全地链接在一起，使用户能够透明地访问跨越任意数量的机构的“虚拟档案”。在这个第一阶段的SBIR应用中，我们建议探索扩展我们的系统的可行性，允许研究人员访问大量动态识别的成像数据，同时克服这些数据用于研究目的可行性的每一个主要批评。我们建议开发一个开放的网络服务体系结构，使之能够与任何其他信息系统直接集成，并提出一种符合现有行业标准的设计，同时为遵守未来的标准和信息学倡议奠定基础。这项研究还将涉及通过使用门限密码术来检查重新识别的规则，以及概率抽样搜索引擎的可行性，该搜索引擎旨在防止通过对缩小标准的多个交叉查询来未经授权地识别患者，同时仍允许研究人员选择适合特定调查的适当引擎的分辨率。这些研究将包括对这些动态过程的性能进行基准测试，量化它们对实时临床信息系统的负载，并优化设计以将此类影响降至最低。如果证明了可行性，第二阶段将涉及对多个学术医疗机构进行概念验证演示，以及为商业化做准备的步骤，包括基于结构化报告和自然语言处理的索引编制研究、基于内容的信息检索、网络界面的改进和可用性测试，以及扩展该系统以允许对可单独识别的数据进行IRB批准的研究。商业化预计将作为订阅服务，与目前的生物信息学数据库相似，使研究人员能够访问由参与PACS的医疗中心组成的大规模、全球分布的数据仓库。