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mHealth: a Privacy Threat Analysis for Public Health Surveillance Systems
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013). (Privacy and Security)ORCID iD: 0000-0001-9005-0543
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013).
School of Informatics, University of Skövde, Skövde, Sweden.
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013).ORCID iD: 0000-0002-9980-3473
2018 (English)In: 2018 IEEE 31st International Symposium on Computer-Based Medical Systems / [ed] Bridget Kane, Karlstad, Sweden: IEEE conference proceedings, 2018Conference paper, Published paper (Refereed)
Abstract [en]

Community Health Workers (CHWs) have been using Mobile Health Data Collection Systems (MDCSs) for supporting the delivery of primary healthcare and carrying out public health surveys, feeding national-level databases with families’ personal data. Such systems are used for public surveillance and to manage sensitive data (i.e., health data), so addressing the privacy issues is crucial for successfully deploying MDCSs. In this paper we present a comprehensive privacy threat analysis for MDCSs, discuss the privacy challenges and provide recommendations that are specially useful to health managers and developers. We ground our analysis on a large-scale MDCS used for primary care (GeoHealth) and a well-known Privacy Impact Assessment (PIA) methodology. The threat analysis is based on a compilation of relevant privacy threats from the literature as well as brain-storming sessions with privacy and security experts. Among the main findings, we observe that existing MDCSs do not employ adequate controls for achieving transparency and interveinability. Thus, threatening fundamental privacy principles regarded as data quality, right to access and right to object. Furthermore, it is noticeable that although there has been significant research to deal with data security issues, the attention with privacy in its multiple dimensions is prominently lacking.

Place, publisher, year, edition, pages
Karlstad, Sweden: IEEE conference proceedings, 2018.
Keywords [en]
Privacy, Data privacy, Security, Surveillance, Data collection, Public healthcare
National Category
Engineering and Technology
Research subject
Computer Science; Information Systems
Identifiers
URN: urn:nbn:se:kau:diva-68003DOI: 10.1109/CBMS.2018.00015ISBN: 978-1-5386-6060-7 (electronic)ISBN: 978-1-5386-6061-4 (print)OAI: oai:DiVA.org:kau-68003DiVA, id: diva2:1232367
Conference
Proceedings of 31st IEEE Symposium on Computer-Based Medical Systems (CBMS 2018)
Available from: 2018-07-11 Created: 2018-07-11 Last updated: 2018-08-01

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Publisher's full texthttps://ieeexplore.ieee.org/document/8417210/?tp=&arnumber=8417210&filter%3DissueId%20EQ%20%228417175%22

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Iwaya, Leonardo H.Fischer-Hübner, SimoneÅhlfeldt, Rose-MharieMartucci, Leonardo
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