Maximising Patient Throughput using Discrete-event Simulation

Fraser L. Greenroyd, Rebecca Hayward, Andrew Price, Peter Demian, Shrikant Sharma

2017

Abstract

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.

Paper Citation

in Harvard Style

Greenroyd F., Hayward R., Price A., Demian P. and Sharma S. (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, ISBN 978-989-758-265-3, pages 204-214. DOI: 10.5220/0006400002040214

in Bibtex Style

@conference{simultech17,
author={Fraser L. Greenroyd and Rebecca Hayward and Andrew Price and Peter Demian and Shrikant Sharma},
title={Maximising Patient Throughput using Discrete-event Simulation},
booktitle={Proceedings of the 7th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,},
year={2017},
pages={204-214},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006400002040214},
isbn={978-989-758-265-3},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 7th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,
TI - Maximising Patient Throughput using Discrete-event Simulation
SN - 978-989-758-265-3
AU - Greenroyd F.
AU - Hayward R.
AU - Price A.
AU - Demian P.
AU - Sharma S.
PY - 2017
SP - 204
EP - 214
DO - 10.5220/0006400002040214