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Semantic Interoperability in Healthcare

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CPD This content can contribute towards your Continuing Professional Development (CPD) as part of the IET's CPD Monitoring scheme.
Event
  • Session
  • Thursday, 31 May 2018
  • 11:31 - 11:31
  • Duration: 21 mins
  • Publication date: 04 Jun 2018
  • Location: Mountbatten, IET London: Savoy Place, London, United Kingdom
  • Part of event Creative and Smart Healthcare of the Future

About the session

The Internet of Things (IoT) promises to connect a global network of billions of data-collecting devices and produce new waves of big data at a volume and speed beyond our imagination. Transmission and processing of this huge amount of data requires a high speed and high processing power underlying wireless infrastructure such as the 5G. The combination of 5G, IoT, big data analytics, information and knowledge is set to transform the way how healthcare services can be delivered and to improve the patients’ experience.

Increasingly, virtual reality is regarded as the next big thing in the technology world with smartphone-compatible versions of VR such as Google Cardboard and Samsung Gear VR as well as Oculus Rift and HTC Vive. In fact, VR is increasingly being used in a wide range of medical applications from treatments to training such as pain management, physiotherapy, fears and phobias, cognitive rehabilitation and training of doctors and nurses.

Keywords:
  • data
  • health records
  • internet of things
  • networks
  • patient records
  • semantic web

Channels

Sectors

Sectors

Health care

Health care

IT

IT

Speaker

  • Dr Shiamo Sigwele

    Dr Shiamo Sigwele

    University of Bradford

    Dr Tshiamo Sigwele is a Research Assistant at the Future Ubiquitous Networks Research Laboratory of the University of Bradford. He is currently working on the BLESS U – Bandar Lampung Enhanced Smart-health Services with Smart Ubiquity – project. Dr Sigwele has also worked as an Assistant Lecturer at the University of Botswana both in the Department of Computer Science and Electrical Engineering (2011-2013). He completed his PhD degree at the University of Bradford with his PhD thesis titled “Energy Efficient Cloud Computing Based Radio Access Networks in 5G”. Prior to that he completed his Masters in Engineering (2010) in Electronic, Telecommunications and Internet Engineering at the University of Bradford. His areas of research are 5G, radio resource management, energy efficiency, cloud computing, cloud radio access networks and web design and software engineering.
patient care
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