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 Factors Associated With Patient Waiting Time at a Medical Outpatient Clinic: A Case Study of University of Nairobi Health Services

2021 ◽  
Vol 6 (12) ◽  
pp. 915-918
Author(s):  
Rebecca Bisanju Wafula (BSCN, MSCHSM) ◽  
Dr. Richard Ayah (MBCHB, MSC, PHD)
Keyword(s):  
Health Services ◽  
Health Care Providers ◽  
Waiting Time ◽  
Outpatient Clinic ◽  
Health Workers ◽  
Waiting Times ◽  
Care Providers ◽  
Cross Sectional ◽  
Patient Waiting Time ◽  
Patient Waiting

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.

scholarly journals Analysis of Services on wait and Time Patient Satisfaction in Prof. dr. Soekandar Hospital

2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Mas'ulun Mas'ulun
Keyword(s):  
Patient Satisfaction ◽  
Waiting Time ◽  
Quantitative Research ◽  
P Value ◽  
Pharmacy Services ◽  
Cross Sectional ◽  
Administrative Services ◽  
Patient Waiting Time ◽  
Analytic Design ◽  
Patient Waiting

Patient satisfaction is the main thing that a hospital needs to prioritize in order to survive  compete and maintain wahat  has  happened because the hospital is a business entity engaged in health services. This type of research is quantitative research with observational analytic design with cross-sectional approach. The sample size in this study is 103 respondents taken by simple random side. Data were collected using questionnaires and observation sheets, then analyzed using logistic regression test     Simultaneously administration, medical and pharmacy services have a significant effect on waiting time with Sig 0.005 <0.0. while partially only administrative service variables that affect the waiting time with a p-value of 0.036 <α = 0.05. Taken together the administrative services (x1) of medical services (x2) and pharmacy services (x3) are not related to Satisfaction (Y2). While partially there is no effect on satisfaction variables. There is a significant influence between waiting time and patient satisfaction. The results show that if the waiting time is fast then the patients will tend to be 9,435 times more likely to be satisfied. Satisfaction is greatly influenced by waiting time, therefore the hospital must always innovate by utilizing technology to shorten patient waiting time. shorten patient waiting time

Relationship Between Waiting Time on Patient Satisfaction at Baloi Permai Batam Puskesmas Year 2021

2022 ◽  
Vol 2 (1) ◽  
pp. 73-80
Author(s):  
Riza Suci Ernaman Putri ◽  
Veggi Klawdina ◽  
Fani Farhansyah
Keyword(s):  
Patient Satisfaction ◽  
Waiting Time ◽  
Waiting Times ◽  
P Value ◽  
Chi Square ◽  
Outpatient Unit ◽  
Level Of Satisfaction ◽  
Patient Waiting Time ◽  
The Relationship ◽  
Patient Waiting

Background: Medical records are an important part in assisting the implementation of service delivery to patients in hospitals. This research aimsMethods: Quantitative with survey research, a quantitative approach is used to find out how effective the relationship between waiting time and patient satisfaction is at the Baloi Permai Health Center.Results: The results of the chi square statistical test showed that the p-value of 0.001 was less than 0.050, so it can be said that there is a significant relationship between waiting time and patient satisfaction. The odds ratio for the relationship between waiting time and patient satisfaction is 7.263 with 95% CI between 2.143- 24.614. Patients with long waiting times are 7,263 or 7 times more likely to have a low level of satisfaction compared to patients whose waiting times are not too long.Conclusions: Based on the results of the study, it can be concluded that there is an effect of patient waiting time on outpatient satisfaction. The staff of the Baloi Perma Batam outpatient unit should further improve services, especially for waiting time for outpatients. Based on the results of the study, it can be concluded that there is an effect of patient waiting time on outpatient satisfaction. The staff of the Baloi Perma Batam outpatient unit should further improve services, especially for waiting time for outpatients.

scholarly journals Relationship Length of Time Patient Waiting In Poly Interne With Patient Satisfaction In Dr. Achmad Mochtar Bukittinggi Year 2017

2018 ◽  
Vol 9 (1) ◽  
pp. 54
Author(s):  
Tafdiel Tafdiel ◽  
Rinawati Kasrin
Keyword(s):  
Patient Satisfaction ◽  
Waiting Time ◽  
Health Workers ◽  
Wait Time ◽  
Bivariate Analysis ◽  
P Value ◽  
Cross Sectional ◽  
Relationship Length ◽  
Patient Waiting Time ◽  
Patient Waiting

Waiting time is the time that patients use to get health services starting from the place of registration until entering the doctor examination room. Patient waiting time is one component that causes patient dissatisfaction, which if patient waiting time is not in accordance with the standard that has been set that is for wait time is ≤ 60 minutes it will affect the patient satisfaction. The fact shows still found the patient complained waiting time in poli interne. This study aims to determine the relationship between patient waiting time in poly interne with patient satisfaction in Bukittinggi Hospital in 2017. Type of research used is quantitative with a cross-sectional approach. The population in this study amounted to 420 patients with the number of samples obtained as much as 81 using the technique of non-probability sampling that is accidental sampling. Data were analyzed using the chi-square test. The result of the analysis is more than partially (72.8%) nonstandard waiting time, (27.2%) standard waiting time. Bivariate analysis was found (66.1%) waiting time was not according to the standard of an unsatisfied patient, and (13.6%) waiting time according to standard and patient was not satisfied. Statistical test results obtained p-value 0.0001 (p <0.05), OR = 12.350. The conclusion of this study is there is a significant relationship between patient waiting time and patient satisfaction in RSUD Dr. Achmad Muchtar Bukittinggi in 2017. It is expected that employees and health workers to maintain and improve the performance and service to patients in accordance with predetermined standards, so patients will be satisfied if their expectations are in accordance with the desired. 

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 Determinants that Influence the Quality of Outstanding Services on Patient Satisfaction in dr. H. Moh. Anwar General Hospital Sumenep District

2021 ◽  
Vol 5 (1) ◽  
pp. 185-194
Author(s):  
Susiyati Susiyati ◽  
Katmini Katmini
Keyword(s):  
Patient Satisfaction ◽  
Health Services ◽  
Service Quality ◽  
Response Time ◽  
General Hospital ◽  
Linear Regression Analysis ◽  
P Value ◽  
Outpatient Services ◽  
Cross Sectional

Quality hospital services are always a hope for every user of health services and along with the development of science and technology, people are increasingly critical in assessing health services. The purpose of this study was to analyze the effect of loyalty and response time on the quality of outpatient services and patient satisfaction in General Hospital dr. H. Moh. Anwar, Sumenep Regency. The design of this research is an observational quantitative study with a cross sectional approach with the focus of the research directed at analyzing the effect of loyalty and response time on the quality of outpatient services and patient satisfaction in General Hospital dr. H. Moh. Anwar, Sumenep Regency. The total population is 271 respondents and a sample of 109 respondents is taken by the Accidental Sampling technique. The findings showed that most of the respondents had sufficient category loyalty as many as 56 respondents (51.4%). Most of the respondents rated the response time in the medium category as many as 56 respondents (51.4%). Most of the respondents have a moderate category of service quality as many as 55 respondents (50.5%). Most respondentssatisfied as many as 65 respondents (59.6%). Based on the results of the Linear Regression analysis of the service quality variable on utilization, it shows that the p-value <0.05 then H0 is rejected and H1 is accepted, so it can be concluded that there is an influence of loyalty and response time on the quality of outpatient services and patient satisfaction in General Hospital dr. H. Moh. Anwar, Sumenep Regency. It is expected that respondents can provide constructive input and criticism so that the services provided can be in accordance with what is expected.

scholarly journals Patient waiting time in the outpatient clinic at a central surgical hospital of Vietnam: Implications for resource allocation

F1000Research ◽  
2017 ◽  
Vol 6 ◽  
pp. 454
Author(s):  
Tho Dinh Tran ◽  
Uy Van Nguyen ◽  
Vuong Minh Nong ◽  
Bach Xuan Tran
Keyword(s):  
Health Insurance ◽  
Waiting Time ◽  
Outpatient Clinic ◽  
Quality Of Healthcare ◽  
Healthcare Services ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Patient Waiting Time ◽  
Administrative Procedures ◽  
Patient Waiting

Background: Patient waiting time is considered as a crucial parameter in the assessment of healthcare quality and patients’ satisfaction towards healthcare services. Data concerning this has remained limited in Vietnam. Thus, this study aims to assess patient waiting time in the outpatient clinic in Viet Duc Hospital (Hanoi, Vietnam) in order to enable stakeholders to inform evidence-based interventions to improve the quality of healthcare services. Methods: A cross-sectional study was conducted from June 2014 to June 2015 in the outpatient clinic at Viet Duc Hospital. Waiting time stratified by years (2014 and 2015), months of the year, weekdays, and hours of the day were extracted from Hospital Management software and carefully calculated. Stata 12.0 was employed to analyze data, including the average time (M± SD), frequencies and percentage (%). Results: There was a total of 137,881 patients involved in the study. The average waiting time from registration to preliminary diagnosis in 2014 was 50.41 minutes, and in 2015 was 42.05 minutes. A longer waiting time was recorded in the morning and in those having health insurance. Conclusions: Our results provided evidence that despite the decrease of waiting time from 2014 to 2015, waiting time was much higher among patients having health insurance compared to their counterparts. The findings suggest that human resources promotion and distribution should be emphasized in outpatient clinics and health insurance-related administrative procedures should be simplified.

scholarly journals Toward Implementing Patient Flow in a Cancer Treatment Center to Reduce Patient Waiting Time and Improve Efficiency

2017 ◽  
Vol 13 (6) ◽  
pp. e530-e537 ◽  
Author(s):  
Samuel Suss ◽  
Nadia Bhuiyan ◽  
Kudret Demirli ◽  
Gerald Batist
Keyword(s):  
Complex Systems ◽  
Cancer Treatment ◽  
Patient Flow ◽  
Waiting Times ◽  
Value Added ◽  
Treatment Center ◽  
Quality Patient Care ◽  
Metropolitan Hospital ◽  
Patient Waiting Time ◽  
Patient Waiting

Outpatient cancer treatment centers can be considered as complex systems in which several types of medical professionals and administrative staff must coordinate their work to achieve the overall goals of providing quality patient care within budgetary constraints. In this article, we use analytical methods that have been successfully employed for other complex systems to show how a clinic can simultaneously reduce patient waiting times and non-value added staff work in a process that has a series of steps, more than one of which involves a scarce resource. The article describes the system model and the key elements in the operation that lead to staff rework and patient queuing. We propose solutions to the problems and provide a framework to evaluate clinic performance. At the time of this report, the proposals are in the process of implementation at a cancer treatment clinic in a major metropolitan hospital in Montreal, Canada.

The Impact of Lean Management Implementation on Waiting Time and Satisfaction of Patients and Staff at an Outpatient Pharmacy of a Comprehensive Cancer Center in Jordan

2020 ◽  
pp. 001857872095414
Author(s):  
Suzan Hammoudeh ◽  
Abdullah Amireh ◽  
Saad Jaddoua ◽  
Lama Nazer ◽  
Enas Jazairy ◽  
...  
Keyword(s):  
Patient Satisfaction ◽  
Waiting Time ◽  
Comprehensive Cancer Center ◽  
Cancer Center ◽  
Lean Management ◽  
Pharmacy Staff ◽  
Full Implementation ◽  
Patient Waiting Time ◽  
The Impact ◽  
Patient Waiting

Background: Patient satisfaction with outpatient pharmacy services at our institution was below the target level, due mainly to long waiting times. A lean management strategy to reduce patient waiting time and increase the satisfaction of both patients and staff was developed and implemented. Methods: The project was conducted in the outpatient pharmacy of a comprehensive cancer center in Amman, Jordan. The process started with formation of a multidisciplinary team and A3 problem-solving, which is a 10-step scientific method with measurable patient-centered outcomes. Average patient waiting time and level of patient satisfaction were compared before and after full implementation of the process. In addition, a survey was conducted among the pharmacy staff who worked in the outpatient pharmacy during the process to determine its impact on staff satisfaction. Results: Patient waiting time for prescriptions of fewer than 3 medications and of 3 medications or more decreased significantly (22.3 minutes vs 8.1 minutes, P < .001, and 31.8 minutes vs 16.1 minutes, P < .002, respectively), and patient satisfaction increased (62% vs 69%; P = .005) after full implementation of the project. The majority of the pharmacy staff reported that the process motivated them in their work and that both their jobs and their relationships with their managers and colleagues had improved. Conclusion: Application of lean management in an outpatient pharmacy was effective in reducing patient waiting time and improving the satisfaction of both patients and employees.

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