期刊论文详细信息
Semantic web
Security approaches for electronic health data handling through the Semantic Web: A scoping review
article
Vinícius Costa Lima1  Domingos Alves3  Filipe Andrade Bernardi1  Rui Pedro Charters Lopes Rijo4 
[1] Health Intelligence Laboratory, Ribeirão Preto Medical School, University of São Paulo;Bioengineering Post Graduate Program, School of Engineering of São Carlos, University of São Paulo;Department of Social Medicine, Ribeirão Preto Medical School, University of São Paulo;School of Technology and Management, Polytechnic Institute of Leiria;Institute for Systems Engineering and Computers at Coimbra;Center for Health Technology and Services Research
关键词: Semantic Web;    health information systems;    electronic health records;    computer security;    interoperability;   
DOI  :  10.3233/SW-223088
来源: IOS Press
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【 摘 要 】

Integration of health information systems are crucial to advance the effective delivery of healthcare for individuals and communities across organizational boundaries. Semantic Web technologies may be used to connect, correlate, and integrate heterogeneous datasets spread over the internet. However, when working with sensitive data, such as health data, security mechanisms are needed. A scoping review of the literature was undertaken to provide a broad view of security mechanisms applied to, or along with, Semantic Web technologies that could allow its use with health data. Searches were conducted in the most relevant databases for the scope of this work. The findings were classified according to the main objective and features presented by each solution. Twenty-six studies were included in the review. They introduced mechanisms that addressed several security attributes, such as authentication, authorization, integrity, availability, confidentiality, privacy, and provenance. These mechanisms support access control frameworks, semantic and functional interoperability infrastructures, and privacy compliance solutions. The findings suggest that the application and use of Semantic Web technologies is still growing, with the healthcare area being particularly interested. The main security mechanisms for Semantic Web technologies, the key security attributes and properties, and the main gaps in the literature were identified, helping to understand the technical needs to mitigate the risks of handling personal health information over the Semantic Web. Also, this research has shown that complex and robust solutions are available to successfully address several security properties and features, depending on the context that the electronic health data is being managed.

【 授权许可】

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