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A privacy framework for mobile health and home-care systems

Published: 13 November 2009 Publication History

Abstract

In this paper, we consider the challenge of preserving patient privacy in the context of mobile healthcare and home-care systems, that is, the use of mobile computing and communications technologies in the delivery of healthcare or the provision of at-home medical care and assisted living. This paper makes three primary contributions. First, we compare existing privacy frameworks, identifying key differences and shortcomings. Second, we identify a privacy framework for mobile healthcare and home-care systems. Third, we extract a set of privacy properties intended for use by those who design systems and applications for mobile healthcare and home-care systems, linking them back to the privacy principles. Finally, we list several important research questions that the community should address. We hope that the privacy framework in this paper can help to guide the researchers and developers in this community, and that the privacy properties provide a concrete foundation for privacy-sensitive systems and applications for mobile healthcare and home-care systems.

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  • (2024)Embedding caring into remote patient management systemsProceedings of the 13th Nordic Conference on Human-Computer Interaction10.1145/3679318.3685399(1-13)Online publication date: 13-Oct-2024
  • (2024)Towards a Harmonised Approach for Security and Privacy Management in Smart Home ContextsHCI for Cybersecurity, Privacy and Trust10.1007/978-3-031-61379-1_12(170-187)Online publication date: 1-Jun-2024
  • (2023)Towards Provable Privacy Protection in IoT-Health Applications2023 14th International Conference on Information and Knowledge Technology (IKT)10.1109/IKT62039.2023.10433042(123-128)Online publication date: 26-Dec-2023
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Recommendations

Reviews

Fjodor J. Ruzic

Health systems enabled by new information and communications technologies are discussed in this paper. The emergence of mobile communication systems, health information processing systems, and e-health portfolios with embedded tele-medicine monitoring and first aid devices creates a new paradigm for mobile health and home-care systems. Of course, this trend also brings to light new issues related to personal privacy and data security within these systems. Kotz, Avancha, and Baxi start with the premise that several conceptual privacy frameworks exist, and provide brief information on privacy frameworks for healthcare information systems. After presenting the basic conceptual privacy frameworks, the authors describe their reason for choosing the common framework from the Markle Foundation as the basis for the special privacy framework that aims to cover issues in mobile health and home-care systems. The privacy properties are evaluated briefly for the purposes of data acquisition, storage, and communication, with regard to the patient's role, rights, and control possibilities. These statements are declared within the dedicated privacy framework of a mobile health and home-care system. The authors presume that there is fairly broad agreement on general principles, but there is room for reasonable disagreement on some of the details, especially in mobile and home-care systems. They conclude that a high-quality mobile health system should protect privacy and data integrity. Thus, they derive several additional properties and add the necessary integrity, availability, and auditability properties. Since the mobile health system consists of communications over open networks, the authors state some additional points that should be included in any privacy framework. To fully achieve all privacy properties within mobile health systems, some problems must be solved-the authors stress eight additional research areas. It is obvious that healthcare quality should be embedded into distributed diagnosis and home healthcare systems that mostly rely on mobile telecommunications networks exploited by patients with mobile phones and digital medical devices. The patient's fundamental right to privacy must also be guaranteed in every system design, but this notion is not clearly defined or evaluated within this paper. The paper contains relevant, timely references, as well as issues open for further research. Those working on mobile health systems deployment should read this paper. Online Computing Reviews Service

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cover image ACM Conferences
SPIMACS '09: Proceedings of the first ACM workshop on Security and privacy in medical and home-care systems
November 2009
72 pages
ISBN:9781605587905
DOI:10.1145/1655084
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 13 November 2009

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Author Tags

  1. e-health
  2. electronic health record
  3. hipaa
  4. home healthcare
  5. medicine
  6. mhealth
  7. mobile healthcare
  8. privacy framework

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Cited By

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  • (2024)Embedding caring into remote patient management systemsProceedings of the 13th Nordic Conference on Human-Computer Interaction10.1145/3679318.3685399(1-13)Online publication date: 13-Oct-2024
  • (2024)Towards a Harmonised Approach for Security and Privacy Management in Smart Home ContextsHCI for Cybersecurity, Privacy and Trust10.1007/978-3-031-61379-1_12(170-187)Online publication date: 1-Jun-2024
  • (2023)Towards Provable Privacy Protection in IoT-Health Applications2023 14th International Conference on Information and Knowledge Technology (IKT)10.1109/IKT62039.2023.10433042(123-128)Online publication date: 26-Dec-2023
  • (2022)A Study of User Concerns about Smartphone Privacy2022 6th Cyber Security in Networking Conference (CSNet)10.1109/CSNet56116.2022.9955623(1-8)Online publication date: 24-Oct-2022
  • (2022)Mobile health evaluation: Taxonomy development and cluster analysisHealthcare Analytics10.1016/j.health.2022.1000222(100022)Online publication date: Nov-2022
  • (2022)Mobile Health Interventions and RCTs: Structured Taxonomy and Research FrameworkJournal of Medical Systems10.1007/s10916-022-01856-646:10Online publication date: 7-Sep-2022
  • (2021)Perception and Initial Adoption of Mobile Health Services of Older Adults in London: Mixed Methods InvestigationJMIR Aging10.2196/304204:4(e30420)Online publication date: 19-Nov-2021
  • (2021)Privacy-Aware Ant Routing for Wireless Multimedia Sensor Networks in Healthcare2021 IEEE 22nd International Conference on High Performance Switching and Routing (HPSR)10.1109/HPSR52026.2021.9481823(1-6)Online publication date: 7-Jun-2021
  • (2021)A new privacy framework for the management of chronic diseases via mHealth in a post-Covid-19 worldJournal of Public Health10.1007/s10389-021-01608-9Online publication date: 18-Jun-2021
  • (2020)Mobile Healthcare in an Increasingly Connected Developing WorldVirtual and Mobile Healthcare10.4018/978-1-5225-9863-3.ch042(859-883)Online publication date: 2020
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