Publications by authors named "T A Monks"
Objectives: This study aimed to develop a simulation model to support orthopaedic elective capacity planning.
Methods: An open-source, generalisable discrete-event simulation was developed, including a web-based application. The model used anonymised patient records between 2016 and 2019 of elective orthopaedic procedures from a National Health Service (NHS) Trust in England.
One aim of Open Science is to increase the accessibility of research. Within health services research that uses discrete-event simulation, Free and Open Source Software (FOSS), such as Python, offers a way for research teams to share their models with other researchers and NHS decision makers. Although the code for healthcare discrete-event simulation models can be shared alongside publications, it may require specialist skills to use and run.
View Article and Find Full Text PDFIntroduction: The aim of this work was to understand between-hospital variation in thrombolysis use among emergency stroke admissions in England and Wales.
Patients: A total of 88,928 patients who arrived at all 132 emergency stroke hospitals in England Wales within 4 h of stroke onset, from 2016 to 2018.
Methods: Machine learning was applied to the Sentinel Stroke National Audit Programme (SSNAP) data set, to learn which patients in each hospital would likely receive thrombolysis.
Background: We aimed to select and externally validate a benchmark method for emergency ambulance services to use to forecast the daily number of calls that result in the dispatch of one or more ambulances.
Methods: The study was conducted using standard methods known to the UK's NHS to aid implementation in practice. We selected our benchmark model from a naive benchmark and 14 standard forecasting methods.