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Privacy and data security in E-health: Requirements from the user’s perspective
Abstract
In this study two currently relevant aspects of using medical assistive technologies were addressed—security and privacy. In a two-step empirical approach that used focus groups (n = 19) and a survey (n = 104), users’ requirements for the use of medical technologies were collected and evaluated. Specifically, we focused on the perceived importance of data security and privacy issues. Outcomes showed that both security and privacy aspects play an important role in the successful adoption of medical assistive technologies in the home environment. In particular, analysis of data with respect to gender, health-status and age (young, middle-aged and old users) revealed that females and healthy adults require, and insist on, the highest security and privacy standards compared with males and the ailing elderly.
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“The patients were shown screenshots of a rehabilitation portal in which cues were embedded that have been found to increase trust in online services: Login procedures with different authentication technologies [28], disclaimers [29], and the visual appearance of the homepage [30].”
From Trust in telemedicine portals for rehabilitation care: an exploratory focus group study with patients and healthcare professionals (2015) · cites this paper as [28]
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“With stronger emphasis on team-based care and continuity of care across institutional borders, and identity management and access control across different health systems, the processes of sharing becomes important [58].”
From Blockchain in healthcare and health sciences—A scoping review (2020) · cites this paper as [58]
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Metadata
- Authors
- Wilkowska, W., & Ziefle, M.
- Affiliations
- RWTH Aachen University (DE)
- Venue
- Health Informatics Journal
- Publisher
- SAGE Publications
- Published
- 2012-09
- Volume
- 18
- Issue
- 3
- Pages
- 191-201
- ISSN
- 1355-4743 (ISSN-L)
- 1460-4582
- 1741-2811
- OpenAlex
- W2083608806
- Cited by
- 207
- References
- 34
- Citations by year
- 2026: 6 · 2025: 16 · 2024: 10 · 2023: 16 · 2022: 18 · 2021: 22 · 2020: 22 · 2019: 17 · 2018: 12 · 2017: 15 · 2016: 18 · 2015: 17 · 2014: 10 · 2013: 8
- FWCI
- 36.80
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Health Informatics Journal (publishedVersion)
- PubMed (publishedVersion)
- RWTH Publications (RWTH Aachen) (submittedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
- Health Sciences › Medicine › Geriatrics and Gerontology › Technology Use by Older Adults
- Health Sciences › Health Professions › Health Information Management › Thoreau and American Literature
- Keywords
- privacy, data security, e-health, user requirements, home care, technology adoption, gender differences, age differences, health status, elderly users
- MeSH terms
- Adolescent, Adult, Age Factors, Aged, Aged, 80 and over, Attitude to Computers, Confidentiality, Diffusion of Innovation, Female, Germany, Health Status Indicators, Humans, Male, Middle Aged, Sex Factors, Socioeconomic Factors, User-Computer Interface, Models, Statistical, Computer Security, Focus Groups, Telemedicine, Monitoring, Ambulatory, Qualitative Research
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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