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The University of Southampton
CORMSIS Centre for Operational Research, Management Sciences and Information Systems

CORMSIS Seminar - Simulation based Resource Modelling in Health Technology Assessment Event

16:00 - 17:00
19 January 2017
Room 1129 Building 6 (Nuffield Theatre)

For more information regarding this event, please email Dr Yuan Huang at .

Event details

Abstract: Economic analyses typically ignore the short-term constraints such as availability of staff (e.g. doctors) or equipment (e.g. beds). It is assumed that all physical resources (e.g. doctors, nurses, beds, scanners and etc.) required by the new technology are immediately available and consumed, regardless of actual supply constraints (or likely demand). Ignoring these constraints may result in negative consequences varying from low levels of uptake through to infeasibility (i.e. the technology not being implemented). There are modelling techniques (e.g. discrete-event simulation, system-dynamic simulation and/or agent-based simulation) that can capture these resource implications. This PhD research is about ‘resource modelling’, which involves understanding the resource requirements for implementing a technology, in order to identify any potential capacity constraints. Different case studies is used to model the associated resource requirements for a given technology, and capture the effect of any potential constraints. This was done by adapting published cost effectiveness models i.e. published models will be redeveloped including resource modelling aspects, using simulation modelling techniques. This presentation focuses on the issue, some of the reasons for this and the up-to-date findings for this research.

Speaker information

Syed Salleh,University of Sheffield,Syed Salleh started his PhD study at ScHARR in August 2014, which was funded by MARA (Majlis Amanah Rakyat). He had completed his BSc in Business Information Technology with International Business (Kolej Poly-Tech Mara Kuala Lumpur, 2012) and MSc in Management of Information Technology (Coventry University, 2013). His research interests generally revolve around discrete-event simulation based resource modelling technique in health technology assessment.

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