Privacy-preservation and the Use of Data for Research: A COVID-19 Use Case in Randomly Generated Healthcare Records

Madalena Silva, Maria Cavalcanti, Maria Campos

2022

Abstract

The provision of clinical data for research purposes has become central to monitoring and understanding the COVID-19 outbreak. In such a pandemic scenario, obtaining new research results is an imperative and urgent requirement. However, nowadays, personal data are protected by different legal regulations, to which all these data must comply, especially those related to the health of individuals. Then, a tough challenge arises in the academic sphere: how to provide a large amount of detailed clinical data for research and, simultaneously, guarantee the privacy of the individuals involved? Thus, this article discusses how the biomedical community may face this challenge and it presents the main ongoing initiatives and available emergent technologies that are useful to meet such urgent demand. Moreover, it also shows, through a use case, how it is possible to deal with this challenge, presenting the applicability of privacy-preserving techniques over a randomly generated typical dataset of COVID-19 health records.

Paper Citation

in Harvard Style

Silva M., Cavalcanti M. and Campos M. (2022). Privacy-preservation and the Use of Data for Research: A COVID-19 Use Case in Randomly Generated Healthcare Records. In Proceedings of the 24th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-569-2, pages 317-324. DOI: 10.5220/0011057900003179

in Bibtex Style

@conference{iceis22,
author={Madalena Silva and Maria Cavalcanti and Maria Campos},
title={Privacy-preservation and the Use of Data for Research: A COVID-19 Use Case in Randomly Generated Healthcare Records},
booktitle={Proceedings of the 24th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2022},
pages={317-324},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011057900003179},
isbn={978-989-758-569-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 24th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - Privacy-preservation and the Use of Data for Research: A COVID-19 Use Case in Randomly Generated Healthcare Records
SN - 978-989-758-569-2
AU - Silva M.
AU - Cavalcanti M.
AU - Campos M.
PY - 2022
SP - 317
EP - 324
DO - 10.5220/0011057900003179