Hospital outliers: Impact on length of stay and long chains as mitigation strategy

Lead Research Organisation: UNIVERSITY OF CAMBRIDGE
Department Name: Judge Business School

Abstract

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Publications

10 25 50

Studentship Projects

Project Reference Relationship Related To Start End Student Name
ES/J500033/1 30/09/2011 01/10/2022
2413895 Studentship ES/J500033/1 30/09/2017 19/01/2023 Tom Pape
ES/P000738/1 30/09/2017 29/09/2028
2413895 Studentship ES/P000738/1 30/09/2017 19/01/2023 Tom Pape
ES/R500914/1 30/09/2017 29/09/2021
2413895 Studentship ES/R500914/1 30/09/2017 19/01/2023 Tom Pape
 
Description Collaboration between Public Health England and Cambridge Judge Bse 
Organisation Public Health England
Country United Kingdom 
Sector Public 
PI Contribution Since March 2020, we have been studying four research questions that have allowed us to address the pandemic's current and near-future rapidly evolving epidemiological state, as well as the bed capacity demand in the short (a few weeks) and medium (several months) term. Frequent data input from and consultations with our public health and clinical partners allow our academic team to apply dynamic data-driven approaches using time series modeling, Bayesian estimation, and system dynamics modeling. We thus obtain a broad view of the evolving situation.
Collaborator Contribution Provide data and context
Impact The academic team provided the model outcomes and insights at weekly joint meetings among public health services, national health services, and academics to support COVID-19 planning activities in the East of England, contributing to the discussion of the COVID-19 response and issues beyond immediate COVID-19 planning.
Start Year 2021