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 The Use of Information Technology to Short the Waiting Time for Examination of Road Care Patients at RSU Islam Klaten

2021 ◽  
Vol 04 (01) ◽  
Author(s):  
Owin Bambang Wijanarko ◽  
Keyword(s):  
Information Technology ◽  
Patient Satisfaction ◽  
Health Services ◽  
Waiting Time ◽  
Waiting Times ◽  
Value Added ◽  
Outpatient Services ◽  
Cross Sectional ◽  
Patient Waiting Time ◽  
Patient Waiting

Background: Outpatient services are a reflection of hospital services.As a form of health service facility that organizes health efforts, hospitals often experience difficulties in managing information for both internal and external needs. One form of application is through service systems by utilizing information technology through the use of computer-based on information systems.The Lean Hospital concept, which has been successfully implemented in several hospitals, is expected to eliminate waste and add value added activity which will ultimately increase patient satisfaction. Purpose: The purpose of this study was to calculate patient waiting time with the application of information technology in the outpatient polyclinic of RSU Islam Klaten. Research methods: This type of research uses a descriptive analytic method. This research meth-od used a cross sectional approach. The sample in this study amounted to 81 respondents with the sampling technique using purposive sampling. The analysis in research using the t-test. The re-search instruments used included literature studies, interviews and direct observation of medical record officers, nurses of polyclinic nurses, registration departments, and patients at RSU Islam Klaten. Result: There is a significant relationship between waiting time and patient satisfaction p = 0.001. Patients with long waiting times were more dissatisfied (60.0%), while fast waiting times were more very satisfied (73.9%). Conclusion: The success of health services is seen from the patient's waiting time and patient satisfaction. Waiting time is the time used by patients to get health services from the registration point to getting in the doctor's examination room. Overall information technology shortens patient waiting time in parts of registration-polyclinic and Pharmacy.

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 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

scholarly journals EVALUATION OF LINEAR ACCELERATOR UTILIZATION FOR CA MAMMAE RADIOTHERAPY AT A PRIVATE HOSPITAL

2019 ◽  
Vol 7 (2) ◽  
pp. 132
Author(s):  
Feliana Mirnawati ◽  
Sutopo Patria Jati ◽  
Johanes Sugiarto
Keyword(s):  
Waiting Time ◽  
Private Hospital ◽  
Breast Cancers ◽  
Central Java ◽  
Depth Interview ◽  
Radiation Capacity ◽  
Need To Evaluate ◽  
Patient Waiting Time ◽  
Type C ◽  
Patient Waiting

Background: Radiotherapy is an important cancer therapy in Indonesia. For hospitals which have provided radiotherapy tools for more than five years, they need to evaluate its utilization and influence on patients’ condition.Aim: This study aims to analyze the use of Linac for radiating breast cancers in one of a type-C private hospital in Central Java by using Health Technology Assessment.Method: This study is an observational and descriptive study with an in-depth interview. There were 72 medical record documents examined. Furthermore, the researchers calculated the profits from the financial feasibility of tool investment gained by the hospital. This study involved six Key Informants and four triangulation informants.Results: This study shows that in terms of effectivity aspect, one Linac can prolong patient waiting time about 2-4 weeks. Such a long waiting time may cause disease progression to increase. Meanwhile, seen from the technical characteristics, the tool is not well-maintained by the internal and external parties. It causes the tool’s performance worse. In terms of the economic aspect, the tool has lasted for 7.5 years, but it technically has been utilized for ten years. Therefore, the hospital needs to supply more radiation tools.Conclusion: The Linac utilization in a year increased, and the ca mammae patient visits were high. In addition to those aspects, the profits gained from the health services were high as well. The hospital should add radiation tools to improve the radiation capacity and decrease patient waiting time.Keywords: linac, economic evaluation, Ca Mammae.

DD-019 Impact of incomplete prescriptions on patient waiting time in clinical trials

2016 ◽  
Vol 23 (Suppl 1) ◽  
pp. A112.2-A113
Author(s):  
A Molina ◽  
N Vicente ◽  
C Palomar ◽  
C Pueyo ◽  
I Cuesta ◽  
...  
Keyword(s):  
Clinical Trials ◽  
Waiting Time ◽  
Patient Waiting Time ◽  
Patient Waiting
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