iPAT: Intelligent privacy-preserving administration tool for IRB applications

Ya-Ling Chen, Hsueh-Lin Chen, Chia-I Lin, Bo-Chao Cheng, Guo-Tan Liao, Ting-Chun Yin, Kuo-Yang Hung
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Abstract

Supported by maturing information and communication technology (ICT) technologies, the medical care industry entered its digitization age. However, medical information is highly confidential and involves privacy; even legitimate access can cause privacy infringements. Under the current medical administration system, no established application systems conform to the IRB (Institutional review board) to protect privacy in human subject research. To prevent the privacy of research subjects from being disclosed unintentionally, and to meet the “need-to-know” demands of information management, this study proposes an intelligent privacy-preserving administration tool (iPAT) designed to facilitate human subject research. This study provides the principle and feasibility of iPAT that are introduced and verified through a use case conducted by the head of the research project.
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iPAT: IRB应用程序的智能隐私保护管理工具
在信息通信技术(ICT)日趋成熟的支持下,医疗行业进入了数字化时代。然而,医疗信息是高度机密的,涉及隐私;即使是合法的访问也可能导致隐私侵犯。在目前的医疗管理制度下,没有建立符合IRB(机构审查委员会)的申请系统,以保护人体受试者研究的隐私。为了防止研究对象的隐私被无意中泄露,并满足信息管理“需要知道”的需求,本研究提出了一种智能隐私保护管理工具(iPAT),旨在促进人类受试者研究。本研究提供了iPAT的原理和可行性,并通过研究项目负责人进行的用例进行了介绍和验证。
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