Surgical Scheduling with Constrained Patient Waiting Times

Author(s):  
Yun Zhou ◽  
Mahmut Parlar ◽  
Vedat Verter ◽  
Shannon Fraser
Author(s):  
Martin Lariviere ◽  
Sarang Deo

First National Healthcare (FNH) runs a large network of hospitals and has worked to systematically reduce waiting times in its emergency departments. One of FNH's regional networks has run a successful marketing campaign promoting its low ED waiting times that other regions want to emulate. The corporate quality manager must now determine whether to allow these campaigns to be rolled out and, if so, which waiting time estimates to use. Are the numbers currently being reported accurate? Is there a more accurate way of estimating patient waiting time that can be easily understood by consumers?


2014 ◽  
Vol 20 (4) ◽  
pp. 158-164 ◽  
Author(s):  
Richard Fink ◽  
Ashfaq Gilkar ◽  
Phillip Eardley ◽  
Catriona Barron

2017 ◽  
Vol 27 (9) ◽  
pp. 28-32
Author(s):  
Dave Hancock

2004 ◽  
Vol 13 (10) ◽  
pp. 941-958 ◽  
Author(s):  
Mark Dusheiko ◽  
Hugh Gravelle ◽  
Rowena Jacobs

Author(s):  
Rebecca Bisanju Wafula (BSCN, MSCHSM) ◽  
Dr. Richard Ayah (MBCHB, MSC, PHD)

Background: Long waiting time in outpatient clinics is a constant challenge for patients and the health care providers. Prolonged waiting times are associated with poor adherence to treatment, missed appointment and failure or delay in initiation of treatment and is a major factor towards the perception of the patient towards the care received. Objective: To determine the waiting time and associated factors among out patients attending staff clinic at University of Nairobi health services. Method: A cross-sectional study design was used and data collected from 384 ambulatory patients over a period of four weeks using an interviewer administered pretested structured exit questionnaire with a time-tracking section. Simple random sampling was used to select respondents in a walk- in outpatient clinic set up. Data was cleaned and analysed using Statistical Package for Social Sciences (SPSS) 20. Analysis of variance (ANOVA), and cross tabulation was used to establish associations between the independent variable and dependent variables. Results: In total 384 patients were tracked and interviewed. The average patient waiting time was 55.3mins.Most respondents (52%) suggested that improving availability of staff at their stations would help to reduce patient waiting time. In this study, gender (P=0.005) and availability of doctors (p=0.000) were found to affect patient waiting time with women waiting longer than the male patients. Conclusion: Majority of the patients spent about an hour at the facility to be served. Inadequate number of health workers was the main cause of long waiting time.


Sign in / Sign up

Export Citation Format

Share Document