scholarly journals Improving Adult ART Clinic Patient Waiting Time by Implementing an Appointment System at Gondar University Teaching Hospital, Northwest Ethiopia

2015 ◽  
Vol 2015 ◽  
pp. 1-5 ◽  
Author(s):  
Asmamaw Atnafu ◽  
Damen Haile Mariam ◽  
Rex Wong ◽  
Taddese Awoke ◽  
Yitayih Wondimeneh
Keyword(s):  
Waiting Time ◽  
Target Population ◽  
Health Service Delivery ◽  
Northwest Ethiopia ◽  
University Teaching ◽  
Significance Level ◽  
Before And After ◽  
Patient Waiting Time ◽  
Appointment System ◽  
Patient Waiting

Background. Long waiting time has been among the major factors that affect patient satisfaction and health service delivery. The aim of this study was to determine the median waiting time at the Anti-Retroviral Therapy (ART) Clinic before and after introduction of an intervention of the systematic appointment system.Methods. Patient waiting time was measured before and after the introduction of an intervention; target population of the study was all adult HIV patients/clients who have visited the outpatient ART Clinic in the study period. 173 patients were included before and after the intervention. Systematic patient appointment system and health education to patients on appointment system were provided as an intervention. The study period was from October 2011 to the end of January 2012. Data were analyzed using SPSS software version 17.0. Independent samplet-test at 95% confidence interval and 5% significance level was used to determine the significance of median waiting time difference between pre- and postintervention periods.Results and Conclusion. The total median waiting time was reduced from 274.8 minutes (IQR 180.6 minutes and 453.6 minutes) before intervention to 165 minutes (IQR 120 minutes and 377.4 minutes) after intervention (40% decrease,p=0.02). Overall, the study showed that the introduction of the new appointment system significantly reduces patient waiting time.

Appointment Tracking System for Improving Patient Waiting Time

2015 ◽  
Vol 781 ◽  
pp. 591-594
Author(s):  
Adrian Wattananupong ◽  
Pichitpong Soontornpipit
Keyword(s):  
Waiting Time ◽  
Cell Phone ◽  
Tracking System ◽  
Core System ◽  
Average Waiting Time ◽  
Appointment Time ◽  
Patient Waiting Time ◽  
Patient Appointment ◽  
Appointment System ◽  
Patient Waiting

This research aim to design and develop a system that improve the patient waiting time. Appointment system is designed to be the core system that uses to inform the patient’s appointment information. Patient appointment is informed by email and SMS alert to their cell phone. The system provides the appointment time and average waiting time before their queue. When the patients get their treatment, the system tracks down the timestamp for each process from the start till the end to calculate average waiting time. The time results are used for both other patients to determine their waiting time and for hospital management team to verify the quality system.

scholarly journals The Impact of Longer Consultation Time: A Simulation-Based Approach

2020 ◽  
Vol 11 (05) ◽  
pp. 857-864
Author(s):  
Abdulrahman M. Jabour
Keyword(s):  
Waiting Time ◽  
Quality Care ◽  
Working Hours ◽  
Discrete Events ◽  
Simulation Based ◽  
Patient Waiting Time ◽  
Free Environment ◽  
The Impact ◽  
Consultation Time ◽  
Patient Waiting

Abstract Background Maintaining a sufficient consultation length in primary health care (PHC) is a fundamental part of providing quality care that results in patient safety and satisfaction. Many facilities have limited capacity and increasing consultation time could result in a longer waiting time for patients and longer working hours for physicians. The use of simulation can be practical for quantifying the impact of workflow scenarios and guide the decision-making. Objective To examine the impact of increasing consultation time on patient waiting time and physician working hours. Methods Using discrete events simulation, we modeled the existing workflow and tested five different scenarios with a longer consultation time. In each scenario, we examined the impact of consultation time on patient waiting time, physician hours, and rate of staff utilization. Results At baseline scenarios (5-minute consultation time), the average waiting time was 9.87 minutes and gradually increased to 89.93 minutes in scenario five (10 minutes consultation time). However, the impact of increasing consultation time on patients waiting time did not impact all patients evenly where patients who arrive later tend to wait longer. Scenarios with a longer consultation time were more sensitive to the patients' order of arrival than those with a shorter consultation time. Conclusion By using simulation, we assessed the impact of increasing the consultation time in a risk-free environment. The increase in patients waiting time was somewhat gradual, and patients who arrive later in the day are more likely to wait longer than those who arrive earlier in the day. Increasing consultation time was more sensitive to the patients' order of arrival than those with a shorter consultation time.

Announcing Waiting Time in Emergency Departments

2019 ◽  
pp. 1-6
Author(s):  
Martin Lariviere ◽  
Sarang Deo
Keyword(s):  
Waiting Time ◽  
Emergency Departments ◽  
Waiting Times ◽  
Large Network ◽  
Regional Networks ◽  
Marketing Campaign ◽  
National Healthcare ◽  
Time Estimates ◽  
Patient Waiting Time ◽  
Patient Waiting

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?

scholarly journals Impact of value added services on patient waiting time at the ambulatory pharmacy Queen Elizabeth Hospital

2017 ◽  
Vol 15 (1) ◽  
pp. 846-846 ◽  
Author(s):  
Benjamin C. Loh ◽  
Kheng F. Wah ◽  
Carolyn A. Teo ◽  
Nadia M. Khairuddin ◽  
Fairenna B. Fairuz ◽  
...  
Keyword(s):  
Waiting Time ◽  
Value Added ◽  
Queen Elizabeth Hospital ◽  
Patient Waiting Time ◽  
Patient Waiting

scholarly journals Shortening Patient Waiting Time for mFOLFOX 6 Outpatient Chemotherapy

2008 ◽  
Vol 34 (5) ◽  
pp. 448-454 ◽  
Author(s):  
Kayoko Ohashi ◽  
Toshiya Katayama ◽  
Maki Kato ◽  
Suguru Araki ◽  
Reiko Yasuda ◽  
...  
Keyword(s):  
Waiting Time ◽  
Outpatient Chemotherapy ◽  
Patient Waiting Time ◽  
Patient Waiting
Sign in / Sign up

Export Citation Format

Share Document