The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Translating GDPR into the mHealth Practice
Abstract
The interaction between patients and health providers through mobile apps can potentially improve the efficiency and quality of healthcare. But despite the advantages, the majority of mobile apps provide low or no security protection and there is a lack of security standards and guidelines to support its development with an adequate balance between availability and confidentiality. Since May 2018, this lack of security awareness and measures has to change. With the application of the new General Data Protection Regulation (GDPR), the European residents' personal data processing by third parties will be stricter and more controlled. On the way to understanding how GDPR affects the content and interactions of mHealth apps, this article aims to compare how previous legislation is reflected in the interactions between users and those apps and what key changes must take place now that GDPR is in force. GDPR empowers patients to ask and receive in a simple understandable manner, information about the security measures that are applied to protect their personal data and transparently see how their personal data is processed, by whom and to what purposes. Use-case scenarios are presented to discuss the impact of GDPR key changes in the visual interactions between the user/patient and mHealth apps and how the app content can be adapted to a more objective and uncluttered view. This study provides means to easily and quickly integrate the key privacy and legislation requirements from GDPR into app visualization, improving this way availability, transparency and patients' empowerment.
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“The ndings not being complete and the need to update and re ne them is another common limitation [87].”
From Security and Privacy of mHealth Applications: A Scoping Review (2020) · cites this paper as [87]
In the citing paper
“The nal type of framework consists of checklists or sets of evaluation criteria or principles [5], [87] [90].”
From Security and Privacy of mHealth Applications: A Scoping Review (2020) · cites this paper as [87]
In the citing paper
“For researchers: a checklist for choosing digital health technologies for research [87].”
From Security and Privacy of mHealth Applications: A Scoping Review (2020) · cites this paper as [87]
Citations
Cites
mHealth for mental health: Integrating smartphone technology in behavioral healthcare.
Luxton, D. D., McCann, R. A., Bush, N. E., Mishkind, M. C., & Reger, G. M. (2011) · Professional Psychology: Research and Practice · doi:10.1037/a0024485 · Cited by 809 · cited 2×
“Physicians may access patient records, view test results and prescribe medications [9] [10].”
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Flagged first, then by citations
Research works printed but not linked: 14
- 10.1109/SeGAH.2014.7067093 · DOI
- pyper, 2004, Access to electronic health records in primary care-a survey of patients' views, Med Sci Monit, 10, sr17
- 2016, Guidelines on the protection of personal data processed by mobile applications, EDPS
- 2014, Mobile privacy: a better practice guide for mobile app developers, OAIC
- sheppard, 2013, Smartphone apps, permissions and privacy - concerns and next steps, Tekdesk a division of the community opportunity and innovation network
- 10.1109/HEALTH.2011.6026769 · DOI
- 2017, GDPR Key Changes
- 1995, Directive 95/46/EC of the European Parliament and of the Council, Official Journal L 281 11/23/1995, 31
- ventola, 2014, Mobile devices and apps for health care professionals: uses and benefits, Pharmacology & Therapeutics
- 2017, 10 Medidas para preparar a aplicação do regulamento europeu de proteção de dados
- pires, 2016, mHealth o impacto da nova diretiva Europeia de proteção de dados caso de uso e avaliação
- cavoukian, 2009, Privacy by Design The 7 Foundational Principles
- 2016, Regulation (EU) 2016/679 of the European Parliament and of the Council L 119, Official Journal of the European Union
- 10.1109/HICSS.2015.385 · DOI
Cited by
Sorted by citations
Security and Privacy of mHealth Applications: A Scoping Review
Nurgalieva, L., O'Callaghan, D., & Doherty, G. (2020) · IEEE Access · doi:10.1109/access.2020.2999934 · Cited by 132
Metadata
- Authors
- Muchagata, J., & Ferreira, A.
- Affiliations
- Universidade do Porto (PT)
- Venue
- 2018 International Carnahan Conference on Security Technology (ICCST)
- Publisher
- IEEE
- Published
- 2018-10
- Pages
- 1-5
- OpenAlex
- W2906041246
- Cited by
- 16
- References
- 1
- Citations by year
- 2025: 2 · 2024: 2 · 2022: 2 · 2021: 4 · 2020: 4 · 2019: 2
- FWCI
- 19.15
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- IEEE International Carnahan Conference on Security Technology (ICCST) (publishedVersion)
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
- Social Sciences › Law › Digitalization, Law, and Regulation
- Keywords
- General Data Protection Regulation, mobile health apps, personal data protection, privacy law, data transparency, user empowerment, security awareness, use case scenarios
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