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Authorization Framework for Medical Data

机译:医学数据授权框架

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In this paper, the authors describe an approach for sharing sensitive medical data with the consent of the data owner. The framework builds on the advantages of the Semantic Web technologies and makes it secure and robust for sharing sensitive information in a controlled environment. The framework uses a combination of Role-Based and Rule-Based Access Policies to provide security to a medical data repository as per the FAIR guidelines. A lightweight ontologywas developed, to collect consent from the users indicating which part of their data they want to share with another user having a particular role. Here, the authors have considered the scenario of sharing the medical data by the owner of data, say the patient, with relevant persons such as physicians, researchers, pharmacist, etc. To prove this concept, the authors developed a prototype and validated using the Sesame OpenRDF Workbench with 202,908 triples and a consent graph stating consents per patient.
机译:在本文中,作者描述了一种在数据所有者同意的情况下共享敏感医学数据的方法。该框架建立在语义Web技术的优势之上,并使其在受控环境中共享敏感信息时具有安全性和鲁棒性。该框架结合了基于角色的访问策略和基于规则的访问策略,以根据FAIR准则为医疗数据存储库提供安全性。开发了一种轻量级的本体,以收集用户的同意,以表明他们希望与另一位具有特定角色的用户共享其数据的哪一部分。在这里,作者考虑了由数据所有者(例如患者)与相关人员(例如医生,研究人员,药剂师等)共享医疗数据的场景。为证明这一概念,作者开发了原型并使用芝麻OpenRDF工作台,具有202,908个三元组和一个表示每个患者同意的同意图。

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