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Sabiá: an authentication, authorization, and user data delivery architecture based on user consent for health information systems in Brazil

Sabiá: an authentication, authorization, and user data delivery architecture based on user... PurposeHealth information systems in Brazil have been designed and developed in a heterogeneous manner based on local regional characteristics, resulting in a lack of health information integrity. In this context, the Brazilian Ministry of Health pointed out the need for interoperability solutions of health information systems, noting the importance of integration with national databases and alignment with Brazilian data protection laws. Therefore, this paper presents Sabiá, a platform for authentication, authorization, and data delivery based on user consent for health information systems in Brazil.MethodsSabiá’s architecture is designed to achieve the following requirements: (R1) Provide a Federated Identity; (R2) Be a Federated Resource Manager; (R3) Collect user data from different information systems; and (R4) Deliver user data to systems based on user consent. Sabiá consists of three main components: (1) Sabiá Authorization Server, responsible for implementing Open Authentication; (2) Sabiá Collector, responsible for collecting data from different information systems; and (3) Sabiá Resource Server, responsible for delivering data previously authorized by the user to the systems.ResultsAfter analyzing historical data, R4 functionality was selected to be submitted to performance testing because it is the process that most affects overall system performance. The tests aimed at analyzing Sabiá’s behavior in the heaviest scenario based on historical data.ConclusionThe results showed no flaws and indicated system stability and consistency, in which the user perceives a system reaction instantaneous, whose response time averages remained below 100 ms. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Research on Biomedical Engineering Springer Journals

Sabiá: an authentication, authorization, and user data delivery architecture based on user consent for health information systems in Brazil

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Publisher
Springer Journals
Copyright
Copyright © Sociedade Brasileira de Engenharia Biomedica 2020
ISSN
2446-4732
eISSN
2446-4740
DOI
10.1007/s42600-020-00058-8
Publisher site
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Abstract

PurposeHealth information systems in Brazil have been designed and developed in a heterogeneous manner based on local regional characteristics, resulting in a lack of health information integrity. In this context, the Brazilian Ministry of Health pointed out the need for interoperability solutions of health information systems, noting the importance of integration with national databases and alignment with Brazilian data protection laws. Therefore, this paper presents Sabiá, a platform for authentication, authorization, and data delivery based on user consent for health information systems in Brazil.MethodsSabiá’s architecture is designed to achieve the following requirements: (R1) Provide a Federated Identity; (R2) Be a Federated Resource Manager; (R3) Collect user data from different information systems; and (R4) Deliver user data to systems based on user consent. Sabiá consists of three main components: (1) Sabiá Authorization Server, responsible for implementing Open Authentication; (2) Sabiá Collector, responsible for collecting data from different information systems; and (3) Sabiá Resource Server, responsible for delivering data previously authorized by the user to the systems.ResultsAfter analyzing historical data, R4 functionality was selected to be submitted to performance testing because it is the process that most affects overall system performance. The tests aimed at analyzing Sabiá’s behavior in the heaviest scenario based on historical data.ConclusionThe results showed no flaws and indicated system stability and consistency, in which the user perceives a system reaction instantaneous, whose response time averages remained below 100 ms.

Journal

Research on Biomedical Engineering – Springer Journals

Published: Jun 14, 2020

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