The use of discrete-event simulation modelling to improve radiation therapy planning processes

Operational research techniques applied throughout cancer care services: a review

“…Baesler and Sepúlveda (2001), Matta and Patterson (2007) and Werker, Sauré, French, and Shechter (2009) all focus on how cancer treatment centre performance can be improved. Matta and Patterson (2007) present a framework for combining multiple performance measures across multiple dimensions into a single score.…”

“…In particular, it improves nurse utilisation and needs just one extra chair. Werker et al (2009) also develop a discrete event simulation. Specifically they model the radiation therapy pre-treatment process in order to find ways to reduce its length (the total planning time).…”

Maximising Patient Throughput using Discrete-event Simulation

“…Studies include making strategic decisions for various departments (Ballard and Kuhl, 2006;Denton et al, 2006;Vanberkel and Blake, 2007;Leskovar et al, 2011); estimating capacity levels and measuring waiting times (Werker et al, 2009); analysing patient flows (Brenner et al, 2010;Zeng et al, 2012); measuring policy impact (Fletcher et al, 2007); and simulating patient scheduling and utilisations (Harper and Gamlin, 2003;Werker et al, 2009;Lee et al, 2013;Quevedo and Chapilliquén, 2014). It has been argued that the extensive use of process modelling is limited in healthcare compared with other industries (Harper and Pitt, 2004) due to the complexity of the processes and the vast amounts of data required to provide accurate models (Antonacci et al, 2016).…”

“…Those that have used discrete-event simulation to analyse patient scheduling do so in an attempt to resolve issues such as reducing waiting times (Harper and Gamlin, 2003), reduce planning time for schedules (Werker et al, 2009) or compare scheduling models (Lee et al, 2013). With the exception of Lee et al (2013) there are few studies which measure the performance of scheduling models against a range of metrics.…”

Integrated decision making in healthcare : an operations research and management science perspective

“…Staff in the ambulatory care services concern for example doctors, nurses and assistants [35,282,348,421,450,451,454,457,458,508,515].…”