Exploring users' willingness to share their health and personal data under the prism of the new GDPR: Implications in healthcare

M. Karampela, S. Ouhbi, M. Isomursu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

13 Citations (Scopus)

Abstract

t the same time healthcare undergoes a digital transformation, the implementation of the new General Data Protection Regulation (GDPR) introduces changes to internet users. Understanding users' data-sharing attitudes for four type of personal data in regards to the new GDPR can facilitate stakeholders and policy-makers in healthcare to make sense of the current landscape. Authors analyzed the results of a questionnaire survey to explore the willingness of 8.004 people across four European countries to share four types of data: health; perceived values or beliefs; consumption habits and purchases; and wealth. Our results suggest that participants are more willing to share health data and data about beliefs and values than wealth information and that GDPR has impacted the data-sharing behavior of the participants.

Original languageEnglish
Title of host publication2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages6509-6512
Number of pages4
ISBN (Electronic)9781538613115
DOIs
Publication statusPublished - Jul 2019
Event41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019 - Berlin, Germany
Duration: Jul 23 2019Jul 27 2019

Publication series

NameProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
ISSN (Print)1557-170X

Conference

Conference41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019
Country/TerritoryGermany
CityBerlin
Period7/23/197/27/19

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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