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Working as a Health AI Specialist

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The Health Information Workforce

Part of the book series: Health Informatics ((HI))

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Abstract

Artificial intelligence and the sub-field of machine learning offer the potential to deliver data-driven healthcare solutions that can improve patient care and increase efficiency in healthcare services. Despite this, the methods and models are new and complicated, to those who work in healthcare. This chapter explores the implementation of such solutions in healthcare settings, through five real-world case studies of experts applying this technology in a variety of clinical settings and at different stages of implementation. These cases highlight the challenges and opportunities posed by implementing artificial intelligence and data-driven solutions, and the lessons learnt from colleagues pioneering its adoption in the healthcare sector.

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Author information

Authors and Affiliations

  1. School of Health Sciences, The University of Manchester, Manchester, UK

    Angela C. Davies, Alan Davies & Paul A. Bromiley

  2. Manchester University Hospitals NHS Foundation Trust, Manchester, UK

    Anthony Wilson

  3. Royal Manchester Children’s Hospital, Manchester, UK

    Haroon Saeed & Catherine Pringle

  4. The Christie NHS Foundation Trust, Manchester, Manchester, UK

    Iliada Eleftheriou

Authors
  1. Angela C. Davies
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  2. Alan Davies
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  3. Anthony Wilson
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  4. Haroon Saeed
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  5. Catherine Pringle
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  6. Iliada Eleftheriou
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  7. Paul A. Bromiley
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Corresponding author

Correspondence to Angela C. Davies .

Editor information

Editors and Affiliations

  1. Digital Health Hub, STEM College, RMIT University, Bundoora, VIC, Australia

    Kerryn Butler-Henderson

  2. School of Population Health, University of Auckland, Auckland, New Zealand

    Karen Day

  3. Centre for Digital Transformation of Health, University of Melbourne, Melbourne, VIC, Australia

    Kathleen Gray

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Davies, A.C. et al. (2021). Working as a Health AI Specialist. In: Butler-Henderson, K., Day, K., Gray, K. (eds) The Health Information Workforce . Health Informatics. Springer, Cham. https://doi.org/10.1007/978-3-030-81850-0_17

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  • DOI: https://doi.org/10.1007/978-3-030-81850-0_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-81849-4

  • Online ISBN: 978-3-030-81850-0

  • eBook Packages: MedicineMedicine (R0)

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