Review on Queueing Problem in Healthcare

Ariff, Hajar; Kamardan, M. Ghazali; Sufahani, Suliadi Firdaus; Ali, Maselan

doi:10.14419/ijet.v7i4.30.22291

Cited by 3 publications

(2 citation statements)

References 21 publications

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“…The experimental study showed improved simulation of patient length of stay. Ariff et al [14] have reviewed literature pertaining to applications of queueing, simulation and scheduling techniques in appointment management and patient flow. Various research problems in the above mentioned areas with applications in healthcare are summarized.…”

Section: Review Of Literaturementioning

confidence: 99%

Optimizing Patient Waiting Time in the Outpatient Department of a Multi-specialty Indian Hospital: The Role of Technology Adoption and Queue-Based Monte Carlo Simulation

Rema

Sikdar²

2021

SN COMPUT. SCI.

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Overcrowding in outpatient department of hospitals has created the need for analyzing patient flow for enabling better patient outcomes. Managing queues and minimizing delays will increase patient satisfaction and render better outcomes for both the patient and the hospital. Digitization has led to adoption of technology, although in its nascent stage of implementation across many hospitals in the country. In addition to technological intervention, a quantitative approach to managing patient queues will improve the operational efficiency. In this study, observation data pertaining to time stamps of patient arrivals, service duration and departure were recorded for patients consulting a specialist in the OPD unit. A questionnaire was also administered to staff in the OPD unit through a snowball sampling technique to understand their perception of technological practices adopted in that unit. Further, Monte Carlo simulation technique has been applied to analyze queueing patterns and key performance indicators have been computed to enable the hospital manage patient flow, adopt practices to optimize delays and thereby enhance service operational efficiency.

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Section: Review Of Literaturementioning

confidence: 99%

Optimizing Patient Waiting Time in the Outpatient Department of a Multi-specialty Indian Hospital: The Role of Technology Adoption and Queue-Based Monte Carlo Simulation

Rema

Sikdar²

2021

SN COMPUT. SCI.

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“…Patients also have to wait for the administrators to fetch their existing medical records before obtaining the queue number. Other than that, there are also a lot of complaints that the news report portrayed by the media such as lacking beds in the hospital, the long queue at the pharmacy department as well as not enough equipment to treat a large number of patients at the same time [5]. Hence, it is clear that queueing issues among outpatients is not a new issue faced by healthcare institutions.…”

Section: Introductionmentioning

confidence: 99%

Smart Management Waiting System for Outpatient Clinic

Nasrudin

Zainuddin

Ahmad

et al. 2023

ARASET

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Queuing has become a common occurrence in malls, train stations, and others. Queuing especially in healthcare intuitions has become a center of attraction because of the long waiting time either at the registration or in receiving treatments. Therefore, in solving this problem, a smart management waiting system for outpatient clinics is developed by using AppGyver and Backendless as the data storage. This system will be operating by QR code scanning for administrators to obtain patients’ personal information before patients obtain the queue number via MyQUEUE mobile application (patients’ interface). By providing queue numbers through the mobile application, patients don’t have to wait in a small uncomfortable waiting lounge instead patients can wait at their desired places such as cafeteria, in their car, and others. Patients also don’t have to worry about missing their turns because there will be a 10 minutes reminder before their turn. Other than that, there is a feature that digitalized the appointment details which means patients don’t have to worry about missing their appointment book or card. The performance of both systems which are the patients’ interface and administrators’ interface is successfully designed and the output obtained. The administrator is able to assign queue numbers, notify patients 10 minutes before consultation time, and assign follow-up appointments to patients.

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