Loughborough University
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Maximising patient throughput using discrete-event simulation

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conference contribution
posted on 2017-08-18, 13:47 authored by Fraser Greenroyd, Rebecca Hayward, Andrew Price, Peter DemianPeter Demian, Shrikant Sharma
As the National Health Service (NHS) of England continues to face tighter cost saving and utilisation government set targets, finding the optimum between costs, patient waiting times, utilisation of resources, and user satisfaction is increasingly challenging. Patient scheduling is a subject which has been extensively covered in the literature, with many previous studies offering solutions to optimise the patient schedule for a given metric. However, few analyse a large range of metrics pertinent to the NHS. The tool presented in this paper provides a discrete-event simulation tool for analysing a range of patient schedules across nine metrics, including: patient waiting, clinic room utilisation, waiting room utilisation, staff hub utilisation, clinician utilisation, patient facing time, clinic over-run, post-clinic waiting, and post-clinic patients still being examined. This allows clinic managers to analyse a number of scheduling solutions to find the optimum schedule for their department by comparing the metrics and selecting their preferred schedule. Also provided is an analysis of the impact of variations in appointment durations and their impact on how a simulation tool provides results. This analysis highlights the need for multiple simulation runs to reduce the impact of non-representative results from the final schedule analysis.


We would like to thank the Engineering and Physical Sciences Research Council, and Centre for Innovative and Collaborative Construction Engineering at Loughborough University for provision of a grant (number EPG037272) to undertake this research project in collaboration with BuroHappold Engineering Ltd.



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SimulTech 2017 - 7th International Conference on Simulation and Modeling Methodologies, Technologies and Applications


GREENROYD, F.L. ... et al., 2017. Maximising patient throughput using discrete-event simulation. IN: Proceedings of the 7th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH, pp. 204-214, Madrid, Spain.




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This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

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