Can analytics improve emergency department performance or is it a lost cause?

Location
Canterbury Campus, North Holmes Road, Canterbury, Kent, CT1 1QU, Rg04 (Ramsey Building)
Category
Social and Applied Sciences
Date(s)
Wednesday 24 May 2017 (14:00-15:00)
Contact
For further information please contact Dr Kathy Kotiadis: kathy.kotiadis@canterbury.ac.uk 
Description

In recent years, all acute hospitals in the UK have experienced unprecedented bed shortages.  The consequences are overcrowded emergency departments, ambulance shortages and high numbers of cancellations of elective operations.  To deal with the high-profile problems in emergency departments, one option for hospitals is to turn to advanced analytics to understand their issues and ultimately prompt action to increase their ability to deal with demand variation.  Emergency departments have been studied extensively in the analytics literature, but the national picture of performance continues to decline.  This in part can be explained by a number of issues that reduce hospital flexibility.  These include the need for extreme value-for-money, specialization of care, and separate management of genders. However, alone this does not explain the lack of progress of analytics.  This talk presents ED problems and modelling case studies from the experience of an analytics and data science team in the UK and reflect on the impact that has been achieved.  The talk will consider both the national and hospital level picture. 

Brief Bio

Dr Thomas Monks - NIHR CLAHRC Wessex

Thomas Monks is Director of the NIHR CLAHRC Wessex’s Data Science Hub.  He is also a Principal Research Fellow in the Faculty of Health Sciences, University of Southampton.  He holds a BSc in Computer Science and Mathematics, MSc in Operational Research and PhD in Simulation Modelling. He was co-chair of the OR Society Simulation Workshop 2018 (SW18), co-chair of SW16 and co-chair of the OR Society Simulation special interest group Until 2017.  He is an associate editor for Health Systems and the Journal of Simulation. His research interests include applied simulation modelling of urgent and emergency care systems, capacity planning and optimization of health systems. 

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Last edited: 15/05/2017 11:31:00