MONTE CARLO SIMULATION FOR ANALYZING OPERATING THEATRE UTILIZATION SIMULASI MONTE CARLO DALAM MENGANALISIS UTILISASI KAMAR OPERASI

https://doi.org/10.22146/jmpk.v15i03.2477

Mursyid Hasan Basri(1*)

(1) 
(*) Corresponding Author

Abstract


Background: Previous researches in different countries studied
about operating theatre performance, but in Indonesia less
research has been conducted. Operating theatre performance
is measured by utilization rate, however the way utilization
measured in practice is different with the general terminology.
We conduct research in one referral hospital. It was declared
that although the utilization of operating theatre is not high,
many patients wait for the services. Therefore, the objectives
of this research are to validate the low utilization rate and to
identify causes of unutilized capacity of operating theatre.
Method: This research applied statistical description method
to analyze the utilization with general terminology, and the
Monte Carlo simulation is run to identify what factors that cause
unutilized capacity. Three scenarios are used in the simulation.
First scenario is simulation with no cancellation occurs,
the second is simulation with cancellation, and the third scenario
is simulation for determining unutilized capacity due to
waiting and idle time in operating theatre.
Results: This study has successfully revealed factors causing
unutilized capacity of operating theatre i.e. number of cancellation,
waiting for facilities, and idle capacity. Our study
shows that 1% of cancellation rate will reduce utilization about
1%. This study also indicates that unutilized capacity due to
waiting for facilities and idle capacity in these operating theatres
is fairly high.
Conclusion: It had confirmed that operating theatres in the
hospital are in low utilization and need for improvement. Determining
utilization rate with Monte Carlo simulation provides more
information to hospital manager for decision making process.
Keywords: operating theatre, utilization, monte carlo simulation,
healthcare services

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DOI: https://doi.org/10.22146/jmpk.v15i03.2477

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