Simulation-based approach for minimizing waiting time in AIIMS, Delhi using Queuing model

Abstract

The government hospitals in India influenced by multiple factors causing longer waiting time of patients in comparison to private hospitals, which worsen the threat to healthcare facilities. The optimization of available resources considering the arrival rate of patients and the availability of facilities for the minimization of queuing is the utmost requirement. The current study has been carried out within the outpatient's department to minimize queue length of one of the largest and busiest hospital, AIIMS in Delhi, represent a struggling health care delivery system with high waiting times of patients. The primary queuing data was collected for total samples of 1200 patients during the four-week study period (1st July to 30th July 2020), (Monday-Friday) and working hours of general OPD (08:30 am to 01:00 pm). The detailed queuing secondary data was collected from AIIMS for three years (1st January 2015 to 31st July 2017). Data has been analyzed by queuing models, M/M/1: Poisson-exponential, single server model-infinite population and up to M/M/8: Poisson-exponential, multiple server model-infinite populations.