Internet-of-Things and big data for smarter healthcare: From device to architecture, applications and analytics
Date of Original Version
The technology and healthcare industries have been deeply intertwined for quite some time. New opportunities, however, are now arising as a result of fast-paced expansion in the areas of the Internet of Things (IoT) and Big Data. In addition, as people across the globe have begun to adopt wearable biosensors, new applications for individualized eHealth and mHealth technologies have emerged. The upsides of these technologies are clear: they are highly available, easily accessible, and simple to personalize; additionally they make it easy for providers to deliver individualized content cost-effectively, at scale. At the same time, a number of hurdles currently stand in the way of truly reliable, adaptive, safe and efficient personal healthcare devices. Major technological milestones will need to be reached in order to address and overcome those hurdles; and that will require closer collaboration between hardware and software developers and medical personnel such as physicians, nurses, and healthcare workers. The purpose of this special issue is to analyze the top concerns in IoT technologies that pertain to smart sensors for health care applications; particularly applications targeted at individualized tele-health interventions with the goal of enabling healthier ways of life. These applications include wearable and body sensors, advanced pervasive healthcare systems, and the Big Data analytics required to inform these devices.
Publication Title, e.g., Journal
Future Generation Computer Systems
Firouzi, Farshad, Amir M. M. Rahmani, K. Mankodiya, M. Badaroglu, G. V. Merrett, P. Wong, and Bahar Farahani. "Internet-of-Things and big data for smarter healthcare: From device to architecture, applications and analytics." Future Generation Computer Systems 78, (2018): 583-586. doi: 10.1016/j.future.2017.09.016.