RAD 2017 - Special Issue on Recent Advances and Developments in Mobile Health

The traditional healthcare industry is undergoing a major paradigm shift due to the rapid advances and developments in mobile, wearable, and other wireless technologies. These Mobile
Health (mHealth) technologies promise to bring tremendous benefits and opportunities to the diagnosis, prognosis, treatment, and prevention of human diseases for a better quality of life. In the meantime, mHealth also presents unprecedented performance and security challenges in the entire process of data collection, processing, analysis, synthesis, and visualization. For example, the advent of wearable technology has now made it possible to constantly monitor sophisticated biometrics for many people ranging from home athletes to chronic healthcare patients. A wide spectrum of devices is being designed as either a replacement of an existing healthcare monitor or a proposition for a new multifunction one. These devices typically require communication with a central healthcare system via cell phones or tablets and thus threats to the data at rest and in transit still exist, apart from a potential risk of misuse via patient profiling. Therefore, it is crucial to design and implement new mHealth technologies to build reliable, accurate, efficient, and secure healthcare environments for optimal patient care. The wide deployments of such wearable monitoring devices have also raised a critical issue to health informatics caused by the sheer volume and high complexity of health data collected anywhere and anytime. Machine learning and big data-oriented algorithms, models, systems, and platforms are needed to support the analysis, use, interpretation, and integration of diverse health data.
The purpose of this special issue is to publish original and high-quality research papers as well as review articles addressing recent mHealth advances and developments that use mobile and wireless devices to improve health outcomes, healthcare services, and health research.
Potential topics include, but are not limited to:
Advances in sensor devices for biomedical monitoring
Infrastructures and architecture for mHealth
mHealth informatics and information/management systems
Security, confidentiality, and privacy in mHealth
Energy management and optimization issues
Big data analytics, machine learning, and visualization techniques for mHealth
Crowdsourcing for public health surveillance, prevention, and emergencies using mHealth
Communications between patients and physicians through mHealth
Mobile and wearable healthcare applications
Decision support systems for mHealth
Pervasive and ubiquitous computing technologies for health and well-being
Remote diagnosis and patient management
Authors can submit their manuscripts via the Manuscript Tracking System at http://mts.hindawi.com/submit/journals/jhe/radi/.
Manuscript Due Friday, 4 November 2016
First Round of Reviews Friday, 27 January 2017
Publication Date Friday, 24 March 2017
Lead Guest Editor
Chase Wu, New Jersey Institute of Technology, Newark, USA
Guest Editors
Zongmin Wang, Zhengzhou University, Henan, China
Guanling Chen, University of Massachusetts, Lowell, USA
Denise Ferebee, LeMoyne-Owen College, Memphis, USA