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Using probabilistic patient flow modelling helps generate individualised intensive care unit operational predictions and improved understanding of current organisational behaviours.
Hadjipavlou, George; Titchell, Jill; Heath, Christina; Siviter, Richard; Madder, Hilary.
Afiliación
  • Hadjipavlou G; Department of Anaesthesia, Oxford University Hospitals NHS Foundation Trust, Oxford, UK.
  • Titchell J; Neurosciences Intensive Care Unit, Oxford University Hospitals NHS Foundation Trust, Oxford, UK.
  • Heath C; Neurosciences Intensive Care Unit, Oxford University Hospitals NHS Foundation Trust, Oxford, UK.
  • Siviter R; Neurosciences Intensive Care Unit, Oxford University Hospitals NHS Foundation Trust, Oxford, UK.
  • Madder H; Neurosciences Intensive Care Unit, Oxford University Hospitals NHS Foundation Trust, Oxford, UK.
J Intensive Care Soc ; 21(3): 221-229, 2020 Aug.
Article en En | MEDLINE | ID: mdl-32782461
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Intensive Care Soc Año: 2020 Tipo del documento: Article País de afiliación: Reino Unido
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Intensive Care Soc Año: 2020 Tipo del documento: Article País de afiliación: Reino Unido