Understanding Waiting Lists Pressures
Fong, K.; Mushtaq, Y.; House, T.; Gordon, D.; Chen, Y.; Griffiths, D.; Ahmad, S.; Walton, N.
Show abstract
NHS waiting lists currently sit at record lengths due to a combination of the immediate impact of the pandemic and, as well as, long-run pressures requiring investment on NHS resources. These factors have left managers and clinicians with increasingly complex decisions when scheduling elective operations. It is imperative that managers understand the basic dynamics, tradeoffs, and pressures when managing waiting lists. Queueing theory is a key part of operational research, extensively used throughout manufacturing, retail, information technology and other sectors. This article provides an exposition of the theory of queues within the context of the current NHS backlog. With this information a manager will be able understand the demand, queue size, waiting times, capacity requirements and trade-offs for different waiting lists. We describe the metrics and a reporting system developed to understand waiting list pressures in a large NHS trust. Our aim is to enable managers to better understand their waiting lists, to achieve targets and improve health outcomes.
Matching journals
The top 2 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Hospital Length of Stay: A cross-Specialty Analysis and Beta-Geometric Model 96%
- SARS-CoV-2 infection dynamics in Denmark, February through October 2020: Nature of the past epidemic and how it may develop in the future 94%
- Prediction of Covid-19 spreading and optimal coordination of counter-measures: From microscopic to macroscopic models to Pareto fronts 94%
Similar papers in this journal
- Cost and social distancing dynamics in a mathematical model of COVID-19 with application to Ontario, Canada 95%
- Modelling disease transmission from touchscreen user interfaces 94%
- Sensitivity of endemic behaviour of Covid-19 under a multi-dose vaccination regime, to various biological parameters and control variables 93%
Similar papers in this journal
Similar papers in this journal
- An evaluation of educational institutions safe reopening strategies for in-person classes amid the COVID-19 pandemic 95%
- Ranking the Effectiveness of Non-Pharmaceutical Interventions to Counter COVID-19 in UK Universities with Vaccinated Population 94%
- A model of COVID-19 transmission and control on university campuses 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.