ArticleHealth systems (Basingstoke, England)2023
A configurable computer simulation model for reducing patient waiting time in oncology departments.
Article in Health systems (Basingstoke, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.
- Patient-level simulation models in cancer care: a systematic review.Frontiers in public health · 2025Pooled it
- Scenario-Based Simulation Modeling for Performance and Efficiency Improvement in an Ultrasonography Department.Healthcare (Basel, Switzerland) · 2026Article
- Geographic barriers and transportation burden in rural cancer care: a GIS-based assessment of support needs among non-cohabiting family caregivers.Journal of rural medicine : JRM · 2026Article
- Global trends in the value of simulation as a pedagogical tool in oncology: a bibliometric analysis from 2010 to 2024.Medical education online · 2025Review
- Staff pooling in healthcare systems - results from a mixed-methods study.Health systems (Basingstoke, England) · 2024Article
- Using stochastic simulation modelling to study occupancy levels of decentralised admission avoidance units in Norway.Health systems (Basingstoke, England) · 2023Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Nowadays, the increase in patient demand and the decline in resources are lengthening patient waiting times in many chemotherapy oncology departments. Therefore, enhancing healthcare services is necessary to reduce patient complaints. Reducing the patient waiting times in the oncology departments represents one of the main goals of healthcare managers. Simulation models are considered an effective tool for identifying potential ways to improve patient flow in oncology departments. This paper presents a new agent-based simulation model designed to be configurable and adaptable to the needs of oncology departments which have to interact with an external pharmacy. When external pharmacies are utilised, a courier service is needed to deliver the individual therapies from the pharmacy to the oncology department. An oncology department located in southern Italy was studied through the simulation model and different scenarios were compared with the aim of selecting the department configuration capable of reducing the patient waiting times.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.