A privacy framework for mobile health and home-care systems

Kotz, David; Avancha, Sasikanth; Baxi, Amit

doi:10.1145/1655084.1655086

Cited by 91 publications

(62 citation statements)

References 13 publications

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“…Kotz et al [63] compared different existing privacy frameworks and proposed a set of privacy policies for mobile healthcare applications and SH systems. Some of these policies are:…”

Section: Security Privacy and Reliabilitymentioning

confidence: 99%

A review of smart homes in healthcare

Amiribesheli

Benmansour

Bouchachia

2015

J Ambient Intell Human Comput

154

123

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The technology of Smart Homes (SH), as an instance of ambient assisted living technologies, is designed to assist the homes' residents accomplishing their daily-living activities and thus having a better quality of life while preserving their privacy. A SH system is usually equipped with a collection of inter-related software and hardware components to monitor the living space by capturing the behaviour of the resident and understanding his activities. By doing so the system can inform about risky situations and take actions on behalf of the resident to his satisfaction. The present survey will address technologies and analysis methods and bring examples of the state of the art research studies in order to provide background for the research community. In particular, the survey will expose infrastructure technologies such as sensors and communication platforms along with artificial intelligence techniques used for modeling and recognizing activities. A brief overview of approaches used to develop Human-Computer (HC) interfaces for SH systems is given. The survey also highlights the challenges and research trends in this area.

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“…Kotz et al [63] compared different existing privacy frameworks and proposed a set of privacy policies for mobile healthcare applications and SH systems. Some of these policies are:…”

Section: Security Privacy and Reliabilitymentioning

confidence: 99%

A review of smart homes in healthcare

Amiribesheli

Benmansour

Bouchachia

2015

J Ambient Intell Human Comput

154

123

View full text Add to dashboard Cite

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“…Furthermore, users cannot control who is accessing their data, when and in what purpose. Kotz, Avancha and Baxi (2009) formulate an explicit research question for the larger scientific community to address, when making inquiries about how mobile hardware and software architectures should be designed to help protect user privacy. Kovachev and Klamma (2012) also point out cost model issues as challenging when designing for application mobility within the cloud.…”

Section: Casam Vs Cloud-based Virtualization and Migration Servicesmentioning

confidence: 99%

Recent Advances in Ambient Intelligence and Context-Aware Computing

Curran

2015

Advances in Computational Intelligence and Robotics

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“…Finally, the main benefit for management staff is the increase of efficiency, accuracy and procedural tracking in their tasks. mHealth allows patients' empowerment as it increases self-awareness [1,7,8] and self-monitoring [9], which leads to the improvement of patients' decisionmaking and self-management [10,11]. An example of this is the delivery of support and guidance to patients through mobile devices [12].…”

Section: Introductionmentioning

confidence: 99%

“…Mobile technology also provides ubiquitous communication schemes [13] facilitating the building of social-communities. This permits patients to receive feedback and encouragement [11], to share and manage knowledge [11,14], and to receive advice from healthcare givers located around the world [9,10,15]. Mobile devices can also improve patients' learning process as it favours the delivery of instructions to react properly to emergencies, to be aware of risks and to improve preventive behaviours [1].…”

Section: Introductionmentioning

confidence: 99%

“…One of the main issues that stops mobile technology from delivering more benefits is the small screen size of mobile devices [5,23]. This is relevant given the complex decision-making environment of health processes [23] and the limited technological background of potential users [10]. Because of this, it is important to find efficient ways of using the screens of mobile devices to show relevant information supporting decision-making [23].…”

Section: Introductionmentioning

confidence: 99%

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An Improved Model for GUI Design of mHealth Context-Aware Applications

Quinde

Khan

2018

Design, User Experience, and Usability: Designing Interactions

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Abstract. One of the main challenges of mobile health is using the smaller screens of mobile devices efficiently to show information supporting the health decision-making process. This research proposes a model that can be used to design and evaluate GUIs of mHealth context-aware applications with the aim of ensuring a proper distribution of key information among the screens. The proposed model is then evaluated based on the Health-ITUEM usability parameters description. The results of this evaluation show the attributes related to usability that have been enhanced.

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A privacy framework for mobile health and home-care systems

Cited by 91 publications

References 13 publications

A review of smart homes in healthcare

A review of smart homes in healthcare

Recent Advances in Ambient Intelligence and Context-Aware Computing

An Improved Model for GUI Design of mHealth Context-Aware Applications

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