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Testing a digital system that ranks the risk of unplanned intensive care unit admission in all ward patients: protocol for a prospective observational cohort study

Authors

  • James Malycha Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UKKadoorie Centre for Critical Care Research and Education, Oxford University Hospitals NHS Foundation Trust, Oxford, Oxfordshire, UKFaculty of Health and Medical Sciences, University of Adelaide, Adelaide, South Australia, Australia PubMed articlesGoogle scholar articles
  • Oliver C Redfern Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UKKadoorie Centre for Critical Care Research and Education, Oxford University Hospitals NHS Foundation Trust, Oxford, Oxfordshire, UK PubMed articlesGoogle scholar articles
  • Guy Ludbrook Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, South Australia, Australia PubMed articlesGoogle scholar articles
  • Duncan Young Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UKKadoorie Centre for Critical Care Research and Education, Oxford University Hospitals NHS Foundation Trust, Oxford, Oxfordshire, UK PubMed articlesGoogle scholar articles
  • Peter J Watkinson Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UKKadoorie Centre for Critical Care Research and Education, Oxford University Hospitals NHS Foundation Trust, Oxford, Oxfordshire, UK PubMed articlesGoogle scholar articles
  1. Correspondence to Dr James Malycha; james.malycha{at}ndcn.ox.ac.uk
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Citation

Malycha J, Redfern OC, Ludbrook G, et al
Testing a digital system that ranks the risk of unplanned intensive care unit admission in all ward patients: protocol for a prospective observational cohort study

Publication history

  • Received June 18, 2019
  • Revised August 7, 2019
  • Accepted August 20, 2019
  • First published September 11, 2019.
Online issue publication 
September 11, 2019

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