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Article

A Case Study on the Development of a Data Privacy Management Solution Based on Patient Information

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Laboratory of Embedded and Distribution Systems, University of Vale do Itajaí, Rua Uruguai 458, C.P. 360, Itajaí 88302-901, Brazil
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Expert Systems and Applications Lab, Faculty of Science, University of Salamanca, Plaza de los Caídos s/n, 37008 Salamanca, Spain
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Expert Systems and Applications Lab., E.T.S.I.I of Béjar, University of Salamanca, 37008 Salamanca, Spain
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Instituto de Telecomunicações, Universidade da Beira Interior, 6200-001 Covilhã, Portugal
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Computer Science Department, Polytechnic Institute of Viseu, 3504-510 Viseu, Portugal
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UICISA:E Research Centre, School of Health, Polytechnic Institute of Viseu, 3504-510 Viseu, Portugal
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Applied Computing Graduate Program, University of Vale do Rio dos Sinos, Av. Unisinos 950, São Leopoldo, RS 93.022-750, Brazil
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Departamento de Informática da Universidade da Beira Interior, 6200-001 Covilhã, Portugal
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COPELABS, Universidade Lusófona de Humanidades e Tecnologias, 1749-024 Lisboa, Portugal
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VALORIZA, Research Center for Endogenous Resources Valorization, Instituto Politécnico de Portalegre, 7300-555 Portalegre, Portugal
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Author to whom correspondence should be addressed.
Sensors 2020, 20(21), 6030; https://doi.org/10.3390/s20216030
Received: 23 September 2020 / Revised: 19 October 2020 / Accepted: 20 October 2020 / Published: 23 October 2020
(This article belongs to the Special Issue Mobile Health Technologies for Ambient Assisted Living and Healthcare)
Data on diagnosis of infection in the general population are strategic for different applications in the public and private spheres. Among them, the data related to symptoms and people displacement stand out, mainly considering highly contagious diseases. This data is sensitive and requires data privacy initiatives to enable its large-scale use. The search for population-monitoring strategies aims at social tracking, supporting the surveillance of contagions to respond to the confrontation with Coronavirus 2 (COVID-19). There are several data privacy issues in environments where IoT devices are used for monitoring hospital processes. In this research, we compare works related to the subject of privacy in the health area. To this end, this research proposes a taxonomy to support the requirements necessary to control patient data privacy in a hospital environment. According to the tests and comparisons made between the variables compared, the application obtained results that contribute to the scenarios applied. In this sense, we modeled and implemented an application. By the end, a mobile application was developed to analyze the privacy and security constraints with COVID-19. View Full-Text
Keywords: data privacy; taxonomy; IoT; COVID-19 data privacy; taxonomy; IoT; COVID-19
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MDPI and ACS Style

Verri Lucca, A.; Augusto Silva, L.; Luchtenberg, R.; Garcez, L.; Mao, X.; García Ovejero, R.; Miguel Pires, I.; Luis Victória Barbosa, J.; Reis Quietinho Leithardt, V. A Case Study on the Development of a Data Privacy Management Solution Based on Patient Information. Sensors 2020, 20, 6030. https://doi.org/10.3390/s20216030

AMA Style

Verri Lucca A, Augusto Silva L, Luchtenberg R, Garcez L, Mao X, García Ovejero R, Miguel Pires I, Luis Victória Barbosa J, Reis Quietinho Leithardt V. A Case Study on the Development of a Data Privacy Management Solution Based on Patient Information. Sensors. 2020; 20(21):6030. https://doi.org/10.3390/s20216030

Chicago/Turabian Style

Verri Lucca, Arielle, Luís Augusto Silva, Rodrigo Luchtenberg, Leonardo Garcez, Xuzeng Mao, Raúl García Ovejero, Ivan Miguel Pires, Jorge Luis Victória Barbosa, and Valderi Reis Quietinho Leithardt. 2020. "A Case Study on the Development of a Data Privacy Management Solution Based on Patient Information" Sensors 20, no. 21: 6030. https://doi.org/10.3390/s20216030

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