Predicting and understanding no-show behaviour in specialist outpatient clinics
With the number of ageing citizens increasing to 900,000 by the year 2030, there will also be an increase in the demands for adequate healthcare services in Singapore. As such, it is imperative for the country to work towards achieving an efficient healthcare system that will provide quality medical...
Saved in:
Main Author: | Cheng, Jacintha Kei Kee |
---|---|
Other Authors: | Chen Songlin |
Format: | Final Year Project |
Language: | English |
Published: |
2015
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/64914 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Using Predictive Analytics to predict “no show” patients contacted via SMS at specialist outpatient clinics
by: SEEMANTA, Khataniar, et al.
Published: (2013) -
Reducing patient waiting time in a specialist outpatient clinic by altering patient arrivals
by: Tay, Terence Chun Howe.
Published: (2012) -
Study of indirect waiting time for a specialist outpatient clinic
by: Chia, Deon Mun Hin
Published: (2019) -
Design and grouping of specialist outpatient clinics in the restructured hospital context
by: Ngu Wah Aung
Published: (2010) -
Modelling, analysis, and optimization in resource planning for outpatient clinics
by: Nguyen Thi Thu Ba
Published: (2015)