Main Trends in mHealth Use Scenarios

Abstract

Abstract-The mobile-devices assisted healthcare and medical applications are expected to create the next breakthrough in demand for smartphones and mobile services. In the last decades we witnesses aging of populations and fast growth of healthcare related expenses. This leads to growth of demand for inexpensive and efficient health monitoring solutions. Mobile phone is the best positioned candidate device for managing aggregation and preliminary analysis of personal data, including information about health and physical activities. Because of that the idea of personal assistant device for health monitoring and early diagnostics of diseases is getting more and more popular. This paper discusses the main currently developed use cases and top trends in development of mobile healthcare use scenarios. In our studies we reviewed and analyzed broad variety of mHealth use cases, i.e., starting from monitors of the most relevant health parameters and updates personal medical record (e.g., blood pressure, ECG, breath activity, etc.), to advanced cloud systems that performs personalized diagnostics and recommendations on healthy behavior and individual medical smart systems that perform advance diagnostic of user's health and modeling of potential trends and negative developments.Index Terms-mobile healthcare, mHealth use cases, health information management, human computer interaction, medical information systems, smart systems.

The Paradoxes of Telehealth: a Review of the Literature 2000–2015

“…Balandin et al . () believed that into 2017, a multitude of patient‐oriented, health‐related, native mHealth applications—tailored specifically for smartphones or tablets and far exceeding the health‐related apps designed for health care professionals—will contribute greatly to ‘a revolution of health care around the world’.…”

“…Balandin et al . () held that into 2017, ‘Missing regulations are the main market barrier during the commercialization phase’ of health‐related mobile apps. Berridge et al .…”

“…They hope to go beyond augmentation and diffusion (Norris et al, 2009;Swendeman and Rotheram-borus, 2011) of current health care systems to disruption (Norris et al, 2009;Arora et al, 2010) to reinvention (Austin and Hull, 2014) or transformation (Kayingo, 2012;Cortez et al, 2014;Andersen et al, 2015) or revolutionising (Kumar et al, 2014) of those systems. Balandin et al (2013) believed that into 2017, a multitude of patientoriented, health-related, native mHealth applications-tailored specifically for smartphones or tablets and far exceeding the health-related apps designed for health care professionals-will contribute greatly to 'a revolution of health care around the world'. Schwamm et al (2009) thought that 2009 represented 'the verge of a tsunami-sized wave of telehealth innovation and deployment'.…”

“…design. Balandin et al (2013) held that into 2017, 'Missing regulations are the main market barrier during the commercialization phase' of healthrelated mobile apps. Berridge et al (2014) found that the rat of change in independent living technology is outpacing change in 'associated state policy, regulation, and payment systems'.…”

Applications of Artificial Intelligence and Big Data Analytics in m-Health: A Healthcare System Perspective

“…Mobile devices and communications assist the evolution of the proposed systems and their employment for the healthcare called m-health [ 36 ]. This comprises the combination of mobile devices, medical-based sensors [ 37 ], and portable devices [ 23 , 38 ]. Health-based applications on smartphones are classified into the following: general health and fitness-based applications, information on medicine-based applications, and applications for managing the healthcare.…”