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Data Protection Impact Assessment (DPIA) for Cloud-Based Health Organizations.

Authors :
Georgiou, Dimitra
Lambrinoudakis, Costas
Rodrigues, Joel J. P. C.
Source :
Future Internet; Mar2021, Vol. 13 Issue 3, p66-66, 1p
Publication Year :
2021

Abstract

The General Data Protection Regulation (GDPR) harmonizes personal data protection laws across the European Union, affecting all sectors including the healthcare industry. For processing operations that pose a high risk for data subjects, a Data Protection Impact Assessment (DPIA) is mandatory from May 2018. Taking into account the criticality of the process and the importance of its results, for the protection of the patients' health data, as well as the complexity involved and the lack of past experience in applying such methodologies in healthcare environments, this paper presents the main steps of a DPIA study and provides guidelines on how to carry them out effectively. To this respect, the Privacy Impact Assessment, Commission Nationale de l'Informatique et des Libertés (PIA-CNIL) methodology has been employed, which is also compliant with the privacy impact assessment tasks described in ISO/IEC 29134:2017. The work presented in this paper focuses on the first two steps of the DPIA methodology and more specifically on the identification of the Purposes of Processing and of the data categories involved in each of them, as well as on the evaluation of the organization's GDPR compliance level and of the gaps (Gap Analysis) that must be filled-in. The main contribution of this work is the identification of the main organizational and legal requirements that must be fulfilled by the health care organization. This research sets the legal grounds for data processing, according to the GDPR and is highly relevant to any processing of personal data, as it helps to structure the process, as well as be aware of data protection issues and the relevant legislation. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
19995903
Volume :
13
Issue :
3
Database :
Complementary Index
Journal :
Future Internet
Publication Type :
Academic Journal
Accession number :
149454705
Full Text :
https://doi.org/10.3390/fi13030066