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Designing a more efficient, effective and safe Medical Emergency Team (MET) service using data analysis

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  • Christoph Bergmeir
  • Irma Bilgrami
  • Christopher Bain
  • Geoffrey I Webb
  • Judit Orosz
  • David Pilcher

Abstract

Introduction: Hospitals have seen a rise in Medical Emergency Team (MET) reviews. We hypothesised that the commonest MET calls result in similar treatments. Our aim was to design a pre-emptive management algorithm that allowed direct institution of treatment to patients without having to wait for attendance of the MET team and to model its potential impact on MET call incidence and patient outcomes. Methods: Data was extracted for all MET calls from the hospital database. Association rule data mining techniques were used to identify the most common combinations of MET call causes, outcomes and therapies. Results: There were 13,656 MET calls during the 34-month study period in 7936 patients. The most common MET call was for hypotension [31%, (2459/7936)]. These MET calls were strongly associated with the immediate administration of intra-venous fluid (70% [1714/2459] v 13% [739/5477] p

Suggested Citation

  • Christoph Bergmeir & Irma Bilgrami & Christopher Bain & Geoffrey I Webb & Judit Orosz & David Pilcher, 2017. "Designing a more efficient, effective and safe Medical Emergency Team (MET) service using data analysis," PLOS ONE, Public Library of Science, vol. 12(12), pages 1-13, December.
    • Handle: RePEc:plo:pone00:0188688
    DOI: 10.1371/journal.pone.0188688
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