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COVID-19: Putting the General Data Protection Regulation to the Test.
McLennan, Stuart; Celi, Leo Anthony; Buyx, Alena.
  • McLennan S; Institute of History and Ethics in Medicine, Technical University of Munich, Munich, Germany.
  • Celi LA; Division of Pulmonary, Critical Care, and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, MA, United States.
  • Buyx A; Harvard-Massachusetts Division of Health Science and Technology, Cambridge, MA, United States.
JMIR Public Health Surveill ; 6(2): e19279, 2020 05 29.
Article in English | MEDLINE | ID: covidwho-437164
ABSTRACT
The coronavirus disease (COVID-19) pandemic is very much a global health issue and requires collaborative, international health research efforts to address it. A valuable source of information for researchers is the large amount of digital health data that are continuously collected by electronic health record systems at health care organizations. The European Union's General Data Protection Regulation (GDPR) will be the key legal framework with regard to using and sharing European digital health data for research purposes. However, concerns persist that the GDPR has made many organizations very risk-averse in terms of data sharing, even if the regulation permits such sharing. Health care organizations focusing on individual risk minimization threaten to undermine COVID-19 research efforts. In our opinion, there is an ethical obligation to use the research exemption clause of the GDPR during the COVID-19 pandemic to support global collaborative health research efforts. Solidarity is a European value, and here is a chance to exemplify it by using the GDPR regulatory framework in a way that does not hinder but actually fosters solidarity during the COVID-19 pandemic.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Computer Security / Coronavirus Infections / Pandemics / Health Services Research Type of study: Observational study / Prognostic study / Qualitative research Limits: Humans Language: English Journal: JMIR Public Health Surveill Year: 2020 Document Type: Article Affiliation country: 19279

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Computer Security / Coronavirus Infections / Pandemics / Health Services Research Type of study: Observational study / Prognostic study / Qualitative research Limits: Humans Language: English Journal: JMIR Public Health Surveill Year: 2020 Document Type: Article Affiliation country: 19279