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Using workload capacity indicators to evaluate rule-based early warning tools and their relationship to escalation events.

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Title: Using workload capacity indicators to evaluate rule-based early warning tools and their relationship to escalation events.
Authors: van der Vegt AH; Centre for Health Services Research, The University of Queensland, Brisbane, QLD, Australia., Campbell V; Intensive Care Unit, Sunshine Coast Hospital and Health Service, Birtinya, QLD, Australia.; Patient Safety and Quality, Clinical Excellence Queensland, Brisbane, QLD, Australia.; School of Medicine, Griffith University, Sunshine Coast University Hospital, Birtinya, QLD, Australia., Mitchell I; Office of Research and Education, Canberra Hospital, Canberra, ACT, Australia.; School of Medicine and Psychology, Australian National University, Canberra, ACT, Australia., Redfern OC; Critical Care Research Group, Kadoorie Centre, John Radcliffe Hospital, Oxford, UK., Subbe C; School of Medical Sciences, Bangor University, Bangor, UK., Conway R; Safety, Quality & Improvement Unit, Sunshine Coast Hospital and Health Service, Birtinya, QLD, Australia., Flabouris A; Intensive Care Department, Royal Adelaide Hospital, Adelaide, SA, Australia.; Adelaide Medical School, University of Adelaide, Adelaide, SA, Australia., Blythe R; Australian Centre for Health Services Innovation, Centre for Healthcare Transformation, School of Public Health & Social work, Faculty of Health, Queensland University of Technology, Kelvin Grove, QLD, Australia., Schnetler R; Townsville Institute of Health Research and Innovation, Townsville University Hospital, Douglas, QLD, Australia.; School of Information Technology and Electrical Engineering, The University of Queensland, St Lucia, QLD, Australia., Perkins C; Division of Surgery, Canberra Hospital, Woden, ACT, Australia., MHServMgt NM; Patient Safety and Quality, Clinical Excellence Queensland, Brisbane, QLD, Australia., Scott IA; Centre for Health Services Research, The University of Queensland, Brisbane, QLD, Australia.; Digital Health and Informatics, Metro South Hospital and Health Service, Brisbane, QLD, Australia.
Source: Digital health [Digit Health] 2026 Jan 19; Vol. 12, pp. 20552076251404509. Date of Electronic Publication: 2026 Jan 19 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: SAGE Publications Ltd Country of Publication: United States NLM ID: 101690863 Publication Model: eCollection Cited Medium: Print ISSN: 2055-2076 (Print) Linking ISSN: 20552076 NLM ISO Abbreviation: Digit Health Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: Using workload capacity indicators to evaluate rule-based early warning tools and their relationship to escalation events.
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  Data: <searchLink fieldCode="AU" term="%22van+der+Vegt+AH%22">van der Vegt AH</searchLink>; Centre for Health Services Research, The University of Queensland, Brisbane, QLD, Australia.<br /><searchLink fieldCode="AU" term="%22Campbell+V%22">Campbell V</searchLink>; Intensive Care Unit, Sunshine Coast Hospital and Health Service, Birtinya, QLD, Australia.; Patient Safety and Quality, Clinical Excellence Queensland, Brisbane, QLD, Australia.; School of Medicine, Griffith University, Sunshine Coast University Hospital, Birtinya, QLD, Australia.<br /><searchLink fieldCode="AU" term="%22Mitchell+I%22">Mitchell I</searchLink>; Office of Research and Education, Canberra Hospital, Canberra, ACT, Australia.; School of Medicine and Psychology, Australian National University, Canberra, ACT, Australia.<br /><searchLink fieldCode="AU" term="%22Redfern+OC%22">Redfern OC</searchLink>; Critical Care Research Group, Kadoorie Centre, John Radcliffe Hospital, Oxford, UK.<br /><searchLink fieldCode="AU" term="%22Subbe+C%22">Subbe C</searchLink>; School of Medical Sciences, Bangor University, Bangor, UK.<br /><searchLink fieldCode="AU" term="%22Conway+R%22">Conway R</searchLink>; Safety, Quality & Improvement Unit, Sunshine Coast Hospital and Health Service, Birtinya, QLD, Australia.<br /><searchLink fieldCode="AU" term="%22Flabouris+A%22">Flabouris A</searchLink>; Intensive Care Department, Royal Adelaide Hospital, Adelaide, SA, Australia.; Adelaide Medical School, University of Adelaide, Adelaide, SA, Australia.<br /><searchLink fieldCode="AU" term="%22Blythe+R%22">Blythe R</searchLink>; Australian Centre for Health Services Innovation, Centre for Healthcare Transformation, School of Public Health & Social work, Faculty of Health, Queensland University of Technology, Kelvin Grove, QLD, Australia.<br /><searchLink fieldCode="AU" term="%22Schnetler+R%22">Schnetler R</searchLink>; Townsville Institute of Health Research and Innovation, Townsville University Hospital, Douglas, QLD, Australia.; School of Information Technology and Electrical Engineering, The University of Queensland, St Lucia, QLD, Australia.<br /><searchLink fieldCode="AU" term="%22Perkins+C%22">Perkins C</searchLink>; Division of Surgery, Canberra Hospital, Woden, ACT, Australia.<br /><searchLink fieldCode="AU" term="%22MHServMgt+NM%22">MHServMgt NM</searchLink>; Patient Safety and Quality, Clinical Excellence Queensland, Brisbane, QLD, Australia.<br /><searchLink fieldCode="AU" term="%22Scott+IA%22">Scott IA</searchLink>; Centre for Health Services Research, The University of Queensland, Brisbane, QLD, Australia.; Digital Health and Informatics, Metro South Hospital and Health Service, Brisbane, QLD, Australia.
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  Data: <searchLink fieldCode="JN" term="%22101690863%22">Digital health</searchLink> [Digit Health] 2026 Jan 19; Vol. 12, pp. 20552076251404509. <i>Date of Electronic Publication: </i>2026 Jan 19 (<i>Print Publication: </i>2026).
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