sors, and network connectivity, which enables these objects to collect and exchange data [1]. Its impact on medicine will be perhaps the most important, and personal, efect. By 2020, 40% of IoT-related technology will be health-related, more than any other category, making up a $117 billion market [2]. The convergence of medicine and information technologies, such as medical informatics, will transform healthcare as we know it, curbing costs, reducing inefcien- cies, and saving lives. Figure 1 illustrates how this revolution in medicine will look in a typical IoT hospital, in practice. A patient with diabetes will have an ID card that, when scanned, links to a secure cloud which stores their electronic health record vi- tals and lab results, medical and prescription histories. Phy- sicians and nurses can easily access this record on a tablet or Medical Internet of Things and Big Data in Healthcare Dimiter V. Dimitrov, MD, PhD Diavita Ltd., Varna, Bulgaria Objectives: A number of technologies can reduce overall costs for the prevention or management of chronic illnesses. Tese include devices that constantly monitor health indicators, devices that auto-administer therapies, or devices that track real- time health data when a patient self-administers a therapy. Because they have increased access to high-speed Internet and smartphones, many patients have started to use mobile applications (apps) to manage various health needs. Tese devices and mobile apps are now increasingly used and integrated with telemedicine and telehealth via the medical Internet of Tings (mIoT). Tis paper reviews mIoT and big data in healthcare felds. Methods: mIoT is a critical piece of the digital transformation of healthcare, as it allows new business models to emerge and enables changes in work processes, productiv- ity improvements, cost containment and enhanced customer experiences. Results: Wearables and mobile apps today support ftness, health education, symptom tracking, and collaborative disease management and care coordination. All those platform analytics can raise the relevancy of data interpretations, reducing the amount of time that end users spend piecing together data outputs. Insights gained from big data analysis will drive the digital disruption of the healthcare world, business process- es and real-time decision-making. Conclusions: A new category of “personalised preventative health coaches” (Digital Health Advisors) will emerge. Tese workers will possess the skills and the ability to interpret and understand health and well-being data. Tey will help their clients avoid chronic and diet-related illness, improve cognitive function, achieve improved mental health and achieve improved lifestyles overall. As the global population ages, such roles will become increasingly important. Keywords: Telemedicine, Smartphone, Mobile Applications, Wireless Technology, Disease Management Healthc Inform Res. 2016 July;22(3):156-163. http://dx.doi.org/10.4258/hir.2016.22.3.156 pISSN 2093-3681 • eISSN 2093-369X Review Article Submitted: June 29, 2016 Accepted: July 18, 2016 Corresponding Author Dimiter V. Dimitrov, MD, PhD Diavita Ltd., Varna, Bulgaria. E-mail: dimiter.v. dimitrov@gmail.com This is an Open Access article distributed under the terms of the Creative Com- mons Attribution Non-Commercial License (http://creativecommons.org/licenses/by- nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduc- tion in any medium, provided the original work is properly cited. ⓒ 2016 The Korean Society of Medical Informatics I. Introduction Te Internet of Tings (IoT) is a network of physical devices and other items, embedded with electronics, sofware, sen-