A common problem associated with hospitals especially the non-tertiary hospitals (primary and secondary hospitals) is long queue. Attempts have been made to address this using the ticket approach, however, this does not minimize crowd in and around hospitals. In the wake of the consciousness of the need to avoid crowd with the emergence of the Corona Virus (COVID-19), it has become important to note that some diseases are transmissible when people clinch close within a vicinity especially in the hospital environment. It is therefore imperative to devise a means to reduce the usual crowd witnessed at the different units/sections in the hospital, precisely by outpatients. In this study, a centralized queue control system was developed that can be used in the different sections of hospitals. The system applied Poisson Distribution, Haversine Model, Little’s Law and Kendall Notation. It is a web-based system, designed to run on the Internet as it focused on the outpatients and the fact that different sections of most non-tertiary hospitals could also be situated in different buildings or geographical area. The system was implemented using ASP.NET and Microsoft SQL. It was evaluated using data collected from non-tertiary hospitals in Benue State, Nigeria. The result showed reduced number of patients in the hospital per time and a little variation between the arrival and expected time of some patients. The system saves time for the patients, the hospital is more organized and crowds are avoided. Also, the pressure on the facilities of the hospitals at a time is also reduced significantly. Service delivery is improved and a healthier environment is assured for both patients and health workers.

Queue Management Healthcare Service Delivery Non-Tertiary Outpatient