Cited by 229Mobile Health and mHealth ApplicationsPrivacy-Preserving Technologies in DataPrivacy, Security, and Data Protection

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Privacy in mobile technology for personal healthcare

Avancha, Sasikanth, Baxi, Amit, Kotz, David·2012·ACM Computing Surveys

DOI 10.1145/2379776.2379779

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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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Authors: Avancha, S., Baxi, A., & Kotz, D.
Affiliations: Intel (India) (IN)
Dartmouth College (US)
ORCID: Baxi, Amit
Kotz, David
Venue: ACM Computing Surveys
Publisher: Association for Computing Machinery (ACM)
Published: 2012-11
Volume: 45
Issue: 1
Pages: 1-54
ISSN: 0360-0300 (ISSN-L)
1557-7341
DOI: 10.1145/2379776.2379779
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
Licence: www.acm.org/publications/policies/copyright_policy#Background (vor)
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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