Effect of an Online Appointment Scheduling System on Evaluation Metrics of Outpatient Scheduling System: a before-after MulticenterStudy

2019 ◽  
Vol 43 (8) ◽  
Author(s):  
Mohammad Reza Mazaheri Habibi ◽  
Fahimeh Mohammadabadi ◽  
Hamed Tabesh ◽  
Hasan Vakili-Arki ◽  
Ameen Abu-Hanna ◽  
...  
Keyword(s):  
Appointment Scheduling ◽  
Evaluation Metrics ◽  
Scheduling System ◽  
System A ◽  
Outpatient Scheduling

scholarly journals Automatic Course Scheduling System in Universities Based on Hybrid Genetic-Ant Colony Algorithm

2021 ◽  
Vol 2066 (1) ◽  
pp. 012079
Author(s):  
Yanbei Duan ◽  
Wenjie Lu
Keyword(s):  
Hybrid Algorithm ◽  
Ant Colony Algorithm ◽  
Operation Time ◽  
Original System ◽  
Colleges And Universities ◽  
Ant Colony ◽  
Scheduling System ◽  
Course Scheduling ◽  
System A ◽  
New System

Abstract Scheduling is the daily work of the Ministry of Education in Colleges and universities. In the past ten years, the scale of our colleges and universities has expanded rapidly, but the teaching resources are relatively limited. Many schools are facing the problem of insufficient classroom resources and teachers resources. The current way of organizing courses is increasingly difficult to make full use of existing resources to solve the changing needs and inefficiencies, which need to be improved urgently. This paper applies the hybrid Genetic-Ant algorithm to the automatic course scheduling system in Colleges and universities, and uses the cross-function to design and build the automatic course scheduling system in Colleges and universities. And select a college’s course scheduling system from this city for research, and use the Genetic-Ant hybrid algorithm to improve the original system to form a new system, called the original system A, and called the improved new system B, to compare the operation time and system suitability of the two systems. The results show that the fitness of system B is better than that of system A. When the scheduling unit is 100, the fitness of system A is 181, and system B is 203. When the scheduling unit is 400, the fitness of system B is 14 higher than that of system A. When the scheduling unit is 800, the fitness of system B is 64 higher than that of system A. Thus, the hybrid algorithm of genetic ant colony can improve the rationality of the curriculum.

A Multi-Agent Based Scheduling System: A Co-Operative and Reactive Approach

1998 ◽  
Vol 31 (15) ◽  
pp. 673-678 ◽  
Author(s):  
Erwan Tranvouez ◽  
Bernard Espinasse ◽  
Jean-Paul Chirac
Keyword(s):  
Agent Based ◽  
Scheduling System ◽  
System A ◽  
Multi Agent

Patients’ willingness to utilize a SMS-based appointment scheduling system at a family practice unit in a developing country

2015 ◽  
Vol 17 (02) ◽  
pp. 149-156 ◽  
Author(s):  
Ayoade Adedokun ◽  
Oladipo Idris ◽  
Tolulope Odujoko
Keyword(s):  
Developing Countries ◽  
Waiting Time ◽  
Healthcare Access ◽  
Healthcare Services ◽  
Developed Countries ◽  
Structured Interview ◽  
Appointment Scheduling ◽  
Public Hospitals ◽  
Delivery Of Healthcare ◽  
Scheduling System

AimThe investigators aimed to assess the willingness of patients to utilize and pay for a proposed short message service- (SMS) based appointment scheduling service.BackgroundTelecommunication applications have been introduced to improve the delivery of healthcare services in developed countries; however, public-funded healthcare systems in developing countries like Nigeria are mostly unfamiliar with the use of such technologies for improving healthcare access.MethodsWe proposed a SMS-based (text message) appointment scheduling system to consenting subjects at an outpatients’ clinic and explored their willingness to utilize and pay for the service. Using semi-structured interview schedules, we collected information on: estimated arrival time, most important worry when seeking for healthcare services at public hospitals in the study setting, ownership of a mobile phone, willingness to utilize a SMS-based appointment for clinic visits and willingness to pay for the service. In addition, respondents were asked to suggest a tariff for the proposed system.FindingsA total of 500 consecutively recruited patients aged 16–86 (42.1±15.4) years participated; 54% (n=270) were females. Waiting time ranged from 1–7.5 h (3.9±1.1). Two overlapping themes emerged as most important worries: crowded waiting rooms and long waiting time. Ownership of mobile phones was reported by 96.4% (n=482) of subjects. Nearly all favoured the proposed appointment scheduling system (n=486, 97.2%). Majority of patients who favoured the system were willing to pay for the service (n=484, 99.6%). Suggested tariff ranged from 0.03 to 20.83 (1.53±2.11) US dollars; 89.8% (n=349) of the subjects suggested tariffs that were greater than the prevailing retail cost of the proposed service. In sum, our findings indicate that patients in this study were willing to utilize and pay for a proposed SMS-based appointment scheduling system. The findings have implications for policies aimed at improving healthcare access and delivery of healthcare services at the primary care level in developing countries like Nigeria.

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