All Our Data Will Be Health Data One Day: The Need for Universal Data Protection and Comprehensive Consent
JournalArticle (Originalarbeit in einer wissenschaftlichen Zeitschrift)
 
ID 4606376
Author(s) Schneble, Christophe Olivier; Elger, Bernice Simone; Shaw, David Martin
Author(s) at UniBasel Schneble, Christophe Olivier
Elger, Bernice Simone
Shaw, David
Year 2020
Title All Our Data Will Be Health Data One Day: The Need for Universal Data Protection and Comprehensive Consent
Journal Journal of Medical Internet Research
Volume 22
Number 5
Pages / Article-Number e16879
Keywords best practices; big data; data protection; guidelines; health data; social media
Mesh terms Computer Security, standards; Humans; Informed Consent, standards
Abstract Tremendous growth in the types of data that are collected and their interlinkage are enabling more predictions of individuals' behavior, health status, and diseases. Legislation in many countries treats health-related data as a special sensitive kind of data. Today's massive linkage of data, however, could transform "nonhealth" data into sensitive health data. In this paper, we argue that the notion of health data should be broadened and should also take into account past and future health data and indirect, inferred, and invisible health data. We also lay out the ethical and legal implications of our model.
Publisher JMIR Publications
ISSN/ISBN 1439-4456 ; 1438-8871
URL https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7290498/
edoc-URL https://edoc.unibas.ch/79298/
Full Text on edoc No
Digital Object Identifier DOI 10.2196/16879
PubMed ID http://www.ncbi.nlm.nih.gov/pubmed/32463372
ISI-Number WOS:000535857700001
Document type (ISI) Article
 
   

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23/05/2022