Maximising patient throughput using discrete-event simulation
Fraser Greenroyd
Rebecca Hayward
Andrew Price
Peter Demian
Shrikant Sharma
2134/26140
https://repository.lboro.ac.uk/articles/conference_contribution/Maximising_patient_throughput_using_discrete-event_simulation/9437927
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.
2017-08-18 13:47:01
Hospital operations
Patient scheduling
Discrete-event simulation
Healthcare delivery
Outpatient operations
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