158. Working on: Capacity simulation for improving efficiency
Contributed abstract in session HB-4: Modeling and Simulation /2, stream Regular talks.
Thursday, 11:00-12:30Room: Room S3
Authors (first author is the speaker)
| 1. | Ismael Aguilera
|
| Ingeniería Industrial, U. de Chile |
Abstract
There is a gap in the scientific debate about capacity simulation considerations among the micro to the macro level of management which in turn do not acknowledge the identification of mechanisms that drive agents to increase the mental health care capacity in the long term. Barroy et al. (2021) state, qualitatively, that public providers have a low incentive to improve efficiency, as long as they cannot take advantage of the efficiency gains. This paper attempts to measure the effect of allowing providers to conduct their own analysis of efficiency or management performance by developing a mixed discrete event and dynamic system (stock and flow) simulator that relates the macro-level components of patients and providers' resource sources. As a result, this work shows the long-term dynamics of flows when providers assess their performance, take action, and autonomously reallocate their budget to the most efficient areas. This analysis could reduce long stays and increase referrals of low-complexity patients to remote services. Preliminary conclusions provide new insights regarding the understanding of the dynamics of capacity at the macro level and in the long term of health systems related to mental health.
Keywords
- Modelling and simulation
- Capacity and network planning
- Integrated planning of health services
Status: accepted
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