From behavioural simulation to computer models: how simulation can be used to improve healthcare management and policy

Guillaume Lamé (1, 2) , Rebecca K. Simmons (1, 2)

1 THIS.institute - THIS Institute (The Healthcare Improvement Studies Institute)
2 CAM - University of Cambridge [UK]

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.

Domaines: Santé publique et épidémiologie; Gestion et management; Autre; Recherche opérationnelle [math.OC]

Guillaume Lamé, Rebecca K. Simmons. From behavioural simulation to computer models: how simulation can be used to improve healthcare management and policy. BMJ Simulation and Technology Enhanced Learning, 2020, 6 (2), pp.95-102. ⟨10.1136/bmjstel-2018-000377⟩. ⟨hal-01900536⟩