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Investigations of agent-based modelling for inpatient healthcare systems

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posted on 22.05.2021, 17:09 by Amirkiarash Kiani
The goal of this research was to investigate the possibility of using Agent-based Modelling, a novel approach in computerized simulation, to assess the effects of staff ratio on recovery time and to develop an empirical research plan based on an inpatient unit. By creating a virtual unit, the researcher was able to develop an adjustable model to test several scenarios based on empirical evidence; to comprehend the impact of changes to staff ratio and patient acuity on nurses’ workload and quality of care to patients. This investigation found that acuity indices of patients have no significant effect on available recovery time or the number of unperformed activities. On the contrary, nurse/patient ratio has substantial effects on both available recovery time and the number of unperformed activities; which asserts the significant effect of insufficient nurse staffing on the well-being of nurses as well as quality of care to patients.





Master of Applied Science


Mechanical and Industrial Engineering

Granting Institution

Ryerson University

LAC Thesis Type