Version 1
: Received: 15 July 2020 / Approved: 17 July 2020 / Online: 17 July 2020 (08:17:07 CEST)
How to cite:
Verri Lucca, A.; Luchtenberg, R.; Garcez de Paula Conceicao, L.; Augusto Silva, L.; García Ovejero, R.; Navarro-Cáceres, M.; Reis Quietinho Leithardt, V. System for Control and Management of Data Privacy of Patients with COVID-19. Preprints2020, 2020070369. https://doi.org/10.20944/preprints202007.0369.v1
Verri Lucca, A.; Luchtenberg, R.; Garcez de Paula Conceicao, L.; Augusto Silva, L.; García Ovejero, R.; Navarro-Cáceres, M.; Reis Quietinho Leithardt, V. System for Control and Management of Data Privacy of Patients with COVID-19. Preprints 2020, 2020070369. https://doi.org/10.20944/preprints202007.0369.v1
Verri Lucca, A.; Luchtenberg, R.; Garcez de Paula Conceicao, L.; Augusto Silva, L.; García Ovejero, R.; Navarro-Cáceres, M.; Reis Quietinho Leithardt, V. System for Control and Management of Data Privacy of Patients with COVID-19. Preprints2020, 2020070369. https://doi.org/10.20944/preprints202007.0369.v1
APA Style
Verri Lucca, A., Luchtenberg, R., Garcez de Paula Conceicao, L., Augusto Silva, L., García Ovejero, R., Navarro-Cáceres, M., & Reis Quietinho Leithardt, V. (2020). System for Control and Management of Data Privacy of Patients with COVID-19. Preprints. https://doi.org/10.20944/preprints202007.0369.v1
Chicago/Turabian Style
Verri Lucca, A., María Navarro-Cáceres and Valderi Reis Quietinho Leithardt. 2020 "System for Control and Management of Data Privacy of Patients with COVID-19" Preprints. https://doi.org/10.20944/preprints202007.0369.v1
Abstract
The COVID-19 pandemic plagues the whole world, bringing numerous challenges which need to be addressed. One of them is the privacy of patient data. There are several problems related to data privacy in IoT environments, the use of applications, devices, and functionalities in hospital processes. Therefore, we have compared works from the literature and developed a taxonomy consisting of the requirements necessary to control patient privacy data in a hospital setting in the current pandemic. Based on the studies, an application was modeled and implemented. According to the tests and comparisons drawn between the variables, the application yielded satisfactory results.
Keywords
Data privacy; Ambient intelligence; COVID-19
Subject
Computer Science and Mathematics, Mathematical and Computational Biology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.