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November Edition 2021

International Journal of Applied Information Systems solicits high quality original research papers for the November 2021 Edition of the journal. The last date of research paper submission is October 15, 2021.

Queue Management in Non-Tertiary Hospitals for Improved Healthcare Service Delivery to Outpatients

Charity Ojochogwu Egbunu, Oluoha Onyekwere, Malik Adeiza Rufai, Terungwa Simon Yange, Sonter Pascal Atsanan in Information Sciences

International Journal of Applied Information Systems
Year of Publication:2020
Publisher: Foundation of Computer Science (FCS), NY, USA
Authors:Charity Ojochogwu Egbunu, Oluoha Onyekwere, Malik Adeiza Rufai, Terungwa Simon Yange, Sonter Pascal Atsanan
10.5120/ijais2020451870
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  1. Charity Ojochogwu Egbunu, Oluoha Onyekwere, Malik Adeiza Rufai, Terungwa Simon Yange and Sonter Pascal Atsanan. Queue Management in Non-Tertiary Hospitals for Improved Healthcare Service Delivery to Outpatients. International Journal of Applied Information Systems 12(31):36-48, July 2020. URL, DOI BibTeX

    @article{10.5120/ijais2020451870,
    	author = "Charity Ojochogwu Egbunu and Oluoha Onyekwere and Malik Adeiza Rufai and Terungwa Simon Yange and Sonter Pascal Atsanan",
    	title = "Queue Management in Non-Tertiary Hospitals for Improved Healthcare Service Delivery to Outpatients",
    	journal = "International Journal of Applied Information Systems",
    	issue_date = "July 2020",
    	volume = 12,
    	number = 31,
    	month = "July",
    	year = 2020,
    	issn = "2249-0868",
    	pages = "36-48",
    	url = "http://www.ijais.org/archives/volume12/number31/1091-2020451870",
    	doi = "10.5120/ijais2020451870",
    	publisher = "Foundation of Computer Science (FCS), NY, USA",
    	address = "New York, USA"
    }
    

Abstract

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.

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Keywords

Queue, Management, Healthcare, Service Delivery, Non-Tertiary, Outpatient