SS04 - Informatics Methods for IoT-enabled Health Care

Special Session Organized by

Dr Po Yang, Liverpool John Moores University, United Kingdom; Prof Guangjie Han, Hohai University, China; Prof Yun Yang, Yunnan University, China;

Significant advancements in the Internet of Things (IoT) have generated extensive opportunities for innovation across both academic and industrial communities, particularly in the health care field. Due to the exponential growth of wearable devices and mobile apps, a promising trend is the exploding role of the Internet-of-Things (IoT)—transforming the traditional hubs of healthcare, such as hospitals and clinics, to personalized health care systems, especially in the mobile environment. Current research in IoT-enabled health care is highly interdisciplinary, involving methodologies from computer science, engineering, information science, behavioral science, decision science, as well as many applied areas in medicine and public health.

A promising trend in these studies is the development of sophisticated techniques that will enable: (i) Cost-effective wearable biomedical devices. (ii) A highly secured, privacy-protected and trustworthy health care system. (iii) The effective and efficient analysis of long-term health data for supporting wise clinical decision-making. Many researchers have recently accepted the assignment of IoT-enabled system architectures into a four-layer organizational structure: sensing, networking, data processing and application.

It is of great importance to study informatics methods in each layer, seeking ways to empower successfully the utility of IoT enabled technology in healthcare. Such work is associated with issues in the areas of smart sensing technologies, network communication and data mining. In the long term, innovative informatics methodologies in IoT-enabled health care will benefit the establishment and enhance the efficiency of (a) practically interoperable IoT systems for care delivery and research, (b) adequate data and knowledge standards of self-empowerment, and (c) sound clinical decision-making foundations.

Topics under this track include (but not limited to):

  • Smart sensing technologies for IoT-enabled health care
  • Network communication for IoT-enabled health care
  • Exploration and management of health care data derived from innovative IoT health care systems
  • Control theories and tools for modelling, simulating and optimizing health care processes


Submission of papers (regular, special sessions) Mar 15, 2019 Mar 31, 2019
Notification of acceptance April 22, 2019 May 1, 2019
Submission of final manuscripts June 05, 2019

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