ReviewBMJ simulation & technology enhanced learning2020
From behavioural simulation to computer models: how simulation can be used to improve healthcare management and policy.
Review in BMJ simulation & technology enhanced learning, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed.
- Exploring realism in high-fidelity ambulance simulation: ambulance clinicians' perspectives on correspondence with everyday practice.Advances in simulation (London, England) · 2026Article
- Utilising artificial intelligence in prehospital emergency care systems in low- and middle-income countries: a scoping review.Frontiers in public health · 2025Article
- Effectiveness of In-situ Simulation on Clinical Competence for Nurses: A Systematic Review.Clinical simulation in nursing · 2024Article
- "What's the evidence?"-Towards more empirical evaluations of the impact of OR interventions in healthcare.Health systems (Basingstoke, England) · 2022Article
- On an optimal testing strategy for workplace settings operating during the COVID-19 pandemic.PloS one · 2022Article
- Assessing Patient Engagement in Health Care: Proposal for a Modeling and Simulation Framework for Behavioral Analysis.JMIR research protocols · 2021Article
- Designing optimal COVID-19 testing stations locally: A discrete event simulation model applied on a university campus.PloS one · 2021Article
- 'Serious Games' for unboxing Global Digital Health policymaking.BMJ simulation & technology enhanced learning · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Simulation is a technique that evokes or replicates substantial aspects of the real world, in order to experiment with a simplified imitation of an operations system, for the purpose of better understanding and/or improving that system. Simulation provides a safe environment for investigating individual and organisational behaviour and a risk-free testbed for new policies and procedures. Therefore, it can complement or replace direct field observations and trial-and-error approaches, which can be time consuming, costly and difficult to carry out. However, simulation has low adoption as a research and improvement tool in healthcare management and policy-making. The literature on simulation in these fields is dispersed across different disciplinary traditions and typically focuses on a single simulation method. In this article, we examine how simulation can be used to investigate, understand and improve management and policy-making in healthcare organisations. We develop the rationale for using simulation and provide an integrative overview of existing approaches, using examples of in vivo behavioural simulations involving live participants, pure in silico computer simulations and intermediate approaches (virtual simulation) where human participants interact with computer simulations of health organisations. We also discuss the combination of these approaches to organisational simulation and the evaluation of simulation-based interventions.
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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.