ZENITH International Journal of Multidisciplinary Research
Year : 2015, Volume : 5, Issue : 9
First page : ( 29) Last page : ( 41)
Online ISSN : 2231-5780.

Using Queueing Theory and Simulation Model to Optimize Hospital Central Laboratory Sample Collection Room

Brahma Prasanta Kumar

Assistant Professor, IMS & SUM Hospital, Kalinga Nagar, Bhubaneswar

Online published on 22 January, 2016.

Abstract

Hospital Central laboratory sample collection room is responsible for controlling and monitoring the laboratory investigation and ensures the timely process of the sample and report preparation and delivery of the report. This study aimed to optimize the management of studied sample collection room by developing suitable queuing theory and simulation technique. A descriptive-analytical study conducted in IMS & SUM Hospital, Bhubaneswar, Odisha, India in 2014. A sample of 220 patients referred to the central laboratory of the hospital in two periods, busy and causality, was selected to collect the necessary data to determine the arrival rate, service rate, and other data needed to calculate the patients flow and queuing network performance variables. After the initial analysis of collected data using the software SPSS 17, the central laboratory sample collection room queuing network performance indicators were calculated for both periods. Results showed that the queue characteristics of the studied sample collection room during the situation analysis were very undesirable in busy and causality periods. The simulation results showed that reducing the staff in the morning the receiving prescriptions stage didn't change the queue performance indicators. Increasing one staff in labeling could cause a decrease the average waiting time.

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Keywords

Queuing Theory, Patient Simulation, Pharmacy, Hospitals.

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