Investigation of appointment booking strategies at specialty clinics

Appointment booking systems around the world have been designed to reduce the amount of bottlenecking in appointments within healthcare providers, thus maximising the efficiency of delivering treatment to its patients and improving their productivity. Prior to the study, improvements were already ma...

Full description

Saved in:
Bibliographic Details
Main Author: Ang Jun, James
Other Authors: Rajesh Piplani
Format: Final Year Project
Language:English
Published: 2018
Subjects:
Online Access:http://hdl.handle.net/10356/75403
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-75403
record_format dspace
spelling sg-ntu-dr.10356-754032023-03-04T18:55:04Z Investigation of appointment booking strategies at specialty clinics Ang Jun, James Rajesh Piplani School of Mechanical and Aerospace Engineering DRNTU::Engineering::Aeronautical engineering Appointment booking systems around the world have been designed to reduce the amount of bottlenecking in appointments within healthcare providers, thus maximising the efficiency of delivering treatment to its patients and improving their productivity. Prior to the study, improvements were already made to the appointment booking systems of an eye care specialty clinic to reduce the amount of waiting time for the patients. In this project, we will investigate the effectiveness of these strategies that were implemented using simulation modelling. In this study, it was shown that having the doctor arrive earlier at the clinic reduce the amount of time patients have to spend at the clinic tremendously. Also, assigning patients who visited specialty clinics for their first time to come in the morning rather than spread throughout the day help to ease the flow of patients and reduce the amount of time patients spend waiting in the clinic for their treatment. Bachelor of Engineering (Mechanical Engineering) 2018-05-31T03:40:35Z 2018-05-31T03:40:35Z 2018 Final Year Project (FYP) http://hdl.handle.net/10356/75403 en Nanyang Technological University 45 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Aeronautical engineering
spellingShingle DRNTU::Engineering::Aeronautical engineering
Ang Jun, James
Investigation of appointment booking strategies at specialty clinics
description Appointment booking systems around the world have been designed to reduce the amount of bottlenecking in appointments within healthcare providers, thus maximising the efficiency of delivering treatment to its patients and improving their productivity. Prior to the study, improvements were already made to the appointment booking systems of an eye care specialty clinic to reduce the amount of waiting time for the patients. In this project, we will investigate the effectiveness of these strategies that were implemented using simulation modelling. In this study, it was shown that having the doctor arrive earlier at the clinic reduce the amount of time patients have to spend at the clinic tremendously. Also, assigning patients who visited specialty clinics for their first time to come in the morning rather than spread throughout the day help to ease the flow of patients and reduce the amount of time patients spend waiting in the clinic for their treatment.
author2 Rajesh Piplani
author_facet Rajesh Piplani
Ang Jun, James
format Final Year Project
author Ang Jun, James
author_sort Ang Jun, James
title Investigation of appointment booking strategies at specialty clinics
title_short Investigation of appointment booking strategies at specialty clinics
title_full Investigation of appointment booking strategies at specialty clinics
title_fullStr Investigation of appointment booking strategies at specialty clinics
title_full_unstemmed Investigation of appointment booking strategies at specialty clinics
title_sort investigation of appointment booking strategies at specialty clinics
publishDate 2018
url http://hdl.handle.net/10356/75403
_version_ 1759855316073185280