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Original research
Can we accurately forecast non-elective bed occupancy and admissions in the NHS? A time-series MSARIMA analysis of longitudinal data from an NHS Trust

Authors

  • Emily Eyles The National Institute for Health Research Applied Research Collaboration West (NIHR ARC West) at University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UKPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK PubMed articlesGoogle scholar articles
  • Maria Theresa Redaniel The National Institute for Health Research Applied Research Collaboration West (NIHR ARC West) at University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UKPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK PubMed articlesGoogle scholar articles
  • Tim Jones The National Institute for Health Research Applied Research Collaboration West (NIHR ARC West) at University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UKPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK PubMed articlesGoogle scholar articles
  • Marion Prat School of Economics, Faculty of Social Sciences and Law, University of Bristol, Bristol, UK PubMed articlesGoogle scholar articles
  • Tim Keen North Bristol NHS Trust, Westbury on Trym, Bristol, UK PubMed articlesGoogle scholar articles
  1. Correspondence to Dr Emily Eyles; emily.eyles{at}bristol.ac.uk
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Citation

Eyles E, Redaniel MT, Jones T, et al
Can we accurately forecast non-elective bed occupancy and admissions in the NHS? A time-series MSARIMA analysis of longitudinal data from an NHS Trust

Publication history

  • Received September 3, 2021
  • Accepted April 4, 2022
  • First published April 20, 2022.
Online issue publication 
April 20, 2022

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