Privacy in mobile technology for personal healthcare
Abstract
Information technology can improve the quality, efficiency, and cost of healthcare. In this survey, we examine the privacy requirements of mobile computing technologies that have the potential to transform healthcare. Such mHealth technology enables physicians to remotely monitor patients' health and enables individuals to manage their own health more easily. Despite these advantages, privacy is essential for any personal monitoring technology. Through an extensive survey of the literature, we develop a conceptual privacy framework for mHealth, itemize the privacy properties needed in mHealth systems, and discuss the technologies that could support privacy-sensitive mHealth systems. We end with a list of open research questions.
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Reliance on a central server or third party for data learning raises critical privacy issues, such as user information leakage and data breach.
“Further, the reliance on such a central server or third party for data learning raises critical privacy issues, e.g., user information leakage and data breach [4].”
From Federated learning for smart healthcare: A survey (2023) · cites this paper as [4]
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Privacy in Sensor-Driven Human Data Collection: A Guide for PractitionersPreprint
Stopczynski, A., Pietri, R., Pentland, A., Lazer, D. M. J., & Lehmann, S. (2014) · arXiv (Cornell University) · doi:10.48550/arxiv.1403.5299 · Cited by 24 · see citing works
Eliciting user satisfying requirements for an e-health awareness system using Kano Model
Hussain, A., Mkpojiogu, E. O. C., & Kamal, F. M. (2015) · Universiti Utara Malaysia Institutional Repository (Universiti Utara Malaysia) · Cited by 23 · see citing works
On the Privacy, Security and Safety of Blood Pressure and Diabetes Apps
Knorr, K., Aspinall, D., & Wolters, M. K. (2015) · IFIP advances in information and communication technology · doi:10.1007/978-3-319-18467-8_38 · Cited by 23 · see citing works
A Review and Assessment Framework for Mobile-Based Emergency Intervention Apps
Yablowitz, M. G., & Schwartz, D. G. (2018) · ACM Computing Surveys · doi:10.1145/3145846 · Cited by 22 · see citing works
Gan, M. F., Chua, H. N., & Wong, S. F. (2019) · Telematics and Informatics · doi:10.1016/j.tele.2019.01.002 · Cited by 22 · see citing works
Denning, T., Kramer, D. B., Friedman, B., Reynolds, M. R., Gill, B. T., & Kohno, T. (2014) · Annual Computer Security Applications Conference · doi:10.1145/2664243.2664289 · Cited by 20 · see citing works
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Review of Human Decision-making during Computer Security Incident Analysis
Spring, J., & Illari, P. K. (2021) · Digital Threats Research and Practice · doi:10.1145/3427787 · Cited by 24 · see citing works
Identifying Close Friendships in a Sensed Social Network
Oloritun, R. O., Madan, A., Pentland, A., & Khayal, I. S. (2013) · Procedia - Social and Behavioral Sciences · doi:10.1016/j.sbspro.2013.05.054 · Cited by 19 · see citing works
Brinson, N. H., & Rutherford, D. N. (2020) · Journal of Consumer Affairs · doi:10.1111/joca.12320 · Cited by 17 · see citing works
Women’s experiences of safety apps for sexualized violence: a narrative scoping review
Doria, N. A., Ausman, C., Wilson, S., Consalvo, A., Sinno, J., Boulos, L., & Numer, M. (2021) · BMC Public Health · doi:10.1186/s12889-021-12292-5 · Cited by 19 · see citing works
The design and implementation of a ubiquitous personal health record system for South Africa
Kyazze, M., Wesson, J. L., & Naudé, K. A. (2014) · Studies in health technology and informatics · doi:10.3233/978-1-61499-456-5-29 · Cited by 18 · see citing works
Smart Home Solutions: Privacy Issues
Theocharidou, M., Tsalis, N., & Gritzalis, D. A. (2014) · Springer eBooks · doi:10.1007/978-3-319-01904-8_5-1 · Cited by 17 · see citing works
Afshar, A. E., Weaver, R. G., Lin, M., Allan, M. G., Ronksley, P. E., Sanmartin, C., Lewanczuk, R. Z., Rosenberg, M. W., Manns, B., Hemmelgarn, B. R., et al. (2014) · CMAJ Open · doi:10.9778/cmajo.20130070 · Cited by 17 · see citing works
RETRACTED: Practical research on college English vocabulary teaching with mobile technology
Zhai, C. (2021) · International Journal of Electrical Engineering Education · doi:10.1177/0020720920985057 · Cited by 17 · see citing works
RetractedConstantinides, A., Belk, M., Fidas, C. A., Beumers, R., Vidal, D. G., Huang, W., Bowles, J., Webber, T., Silvina, A., & Pitsillides, A. (2022) · ACM Transactions on Computing for Healthcare · doi:10.1145/3564610 · Cited by 17 · see citing works
A Survey on Mobile Social Signal Processing
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An efficient implementation of next generation access control for the mobile health cloud
Basnet, R., Mukherjee, S., Pagadala, V. M., & Ray, I. (2018) · International Conference on Fog and Mobile Edge Computing (FMEC) · doi:10.1109/fmec.2018.8364055 · Cited by 16 · see citing works
FamilyLog: Monitoring Family Mealtime Activities by Mobile Devices
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Integrated personal health record (PHR) security: requirements and mechanisms
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A semi-supervised privacy-preserving clustering algorithm for healthcare
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Exploring the need for a suitable privacy framework for mHealth when managing chronic diseases
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Smart Home Solutions: Privacy Issues
Theocharidou, M., Tsalis, N., & Gritzalis, D. A. (2016) · Springer eBooks · doi:10.1007/978-3-319-01583-5_5 · Cited by 15 · see citing works
Understanding Contexts and Challenges of Information Management for Epilepsy Care
Min, A., Miller, W. R., Rocha, L. M., Börner, K., Correia, R. B., & Shih, P. C. (2023) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3580949 · Cited by 14 · see citing works
Exploring physical therapists’ perceptions of mobile application usage utilizing the FITT framework
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Hussain, A., & Mkpojiogu, E. O. C. (2016) · Universiti Utara Malaysia Institutional Repository (Universiti Utara Malaysia) · Cited by 14 · see citing works
Cloud of Things for Healthcare: A Survey from Energy Efficiency Perspective
Mahmoud, M. M. E., Rodrigues, J. J. P. C., & Saleem, K. (2019) · doi:10.1109/iccisci.2019.8716388 · Cited by 14 · see citing works
Security and privacy concerns in smart healthcare system
AbdulRaheem, M., Awotunde, J. B., Chakraborty, C., Adeniyi, A. E., Oladipo, I. D., & Bhoi, A. K. (2023) · Elsevier eBooks · doi:10.1016/b978-0-323-91916-6.00002-3 · Cited by 13 · see citing works
- Authors
- Avancha, S., Baxi, A., & Kotz, D.
- Affiliations
- Intel (India) (IN)
- Dartmouth College (US)
- Venue
- ACM Computing Surveys
- Published
- 2012-11
- Volume
- 45
- Issue
- 1
- Pages
- 1-54
- ISSN
- 0360-0300 (ISSN-L)
- 1557-7341
- OpenAlex
- W2133268605
- Cited by
- 229
- References
- 155
- Citations by year
- 2026: 1 · 2025: 5 · 2024: 15 · 2023: 6 · 2022: 8 · 2021: 19 · 2020: 13 · 2019: 16 · 2018: 16 · 2017: 23 · 2016: 29 · 2015: 30 · 2014: 25 · 2013: 16 · 2012: 2
- FWCI
- 41.43
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- ACM Computing Surveys (publishedVersion)
- Funders
- National Science Foundation (910842)
- U.S. Department of Health and Human Services (90TR0003-01)
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Physical Sciences › Computer Science › Artificial Intelligence › Privacy-Preserving Technologies in Data
- Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
- Keywords
- privacy, mobile health, personal healthcare, remote patient monitoring, privacy framework, privacy properties, health self-management
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