The General Data Protection Law and its implications on Health
Impact Assessments on Data processing in the clinical-hospital scope
DOI:
https://doi.org/10.1344/rbd2021.54.36005Abstract
The General Data Protection Law provides for the protection of personal data and has significant implications in numerous areas, including in healthcare. In the health field, due to the relevant amount of sensitive data containing information on health, it is required caution from the treatment agents, since its processing is more likely to cause a high risk to the rights of the data subjects. In this regard, the art. 35 of the General Data Protection Regulation, the European legislation on the protection of personal data, determines that the carrying out of Impact Assessments is mandatory, which is not evident in the Brazilian legislation. Through exploratory research, based on a bibliographic and documentary survey, the importance of these assessments by health institutions in the treatment of sensitive data is investigated, so as to attest not only compliance with legislation, but also with stipulations present in deontological codes that value secrecy, privacy and confidentiality in doctor-patient relationship. At first, general aspects of the Brazilian law and a comparative perspective regarding the European one are discussed. Secondly, it exposes the association between treatment of sensitive data and confidentiality in healthcare. It concludes that it is important to carry out the Impact Assessment on sensitive data, an occasion in which the European experience of risk-based methodology is considered.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2022 Margareth Vetis Zaganelli, Douglas Luis Binda Filho
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
The author retains the copyright and grants Revista de Bioética y Derecho the right of first publication of the article. All articles published in Revista de Bioética y Derecho are under Creative Commons licensing Recognition – Non Commercial – NoDerivedArtwork (by-nc-nd 4.0), which allows sharing the content with third parties, provided that they acknowledge its authorship, initial publication in this journal and the terms of the license. No commercial use of the original work or generation of derivative works is permitted.