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The Development of Intelligent Patient-Centric Systems for Health Care

  • Arturo CarononganIII
  • Hannah Gorgui-Naguib
  • Raouf N. G. Naguib
Chapter
Part of the Healthcare Delivery in the Information Age book series (Healthcare Delivery Inform. Age)

Abstract

The delivery of healthcare is currently undergoing a major shift from a curative and reactive approach to one of proactive and preventative health management. This is further being accompanied by the fact that the digital information explosion, known as big data, has signalled a patient-centric revolution in medicine.

Thus, the development of intelligent patient-centric healthcare systems is becoming a dominant theme in driving new models of care. The ‘intelligent’ attribute of such models is in turn derived from complex theories and implementations of a myriad of AI and data analytic paradigms that present opportunities to discover novel methods of providing accurate patient-centred diagnosis, prognosis, and management. This chapter revisits the role that AI has played in the provision of more personalised solutions and treatments, namely, through the development and applications of various artificial neural networks and hidden Markov models in a wide range of clinical and healthcare service arenas.

Keywords

Artificial intelligence Big data Medicine Clinical applications Artificial neural networks Hidden Markov models 

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Arturo CarononganIII
    • 1
  • Hannah Gorgui-Naguib
    • 2
  • Raouf N. G. Naguib
    • 3
    • 4
  1. 1.De La Salle UniversityManilaPhilippines
  2. 2.King’s College LondonLondonUK
  3. 3.Liverpool Hope UniversityLiverpoolUK
  4. 4.BIOCORE Research & Consultancy LtdLiverpoolUK

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