Patient arrival pattern and waiting time analysis for a tertiary hospital radiology department

2019 ◽  
Vol 25 (3) ◽  
pp. 136-143
Author(s):  
Felicitas Ugochinyere Idigo ◽  
Kenneth Kalu Agwu ◽  
Obinna Emmanuel Onwujekwe ◽  
Mark Chukwudi Okeji ◽  
Angel-Mary Chukwunyelu Anakwue
2020 ◽  
Vol 34 (1) ◽  
pp. 29-36
Author(s):  
F U Idigo ◽  
N I Chijioke ◽  
A C Anakwue ◽  
U B Nwogu

Background: Quality of service, as perceived by patients in any healthcare facility is to a great extent, dependent on the waiting time. Reducing patients' waiting time increases patients' satisfaction and improves system efficiency. Purpose: To measure and analyze the waiting time of patients at the service points in the ultrasound unit of a Nigerian tertiary hospital and to determine the mean examination time for the different ultrasound investigations carried out. Methods: This prospective cross-sectional study was carried out in the ultrasound unit of the Radiology department at the University of Nigeria Teaching Hospital (UNTH) Ituku/Ozalla, Enugu. The waiting and examination times of patients were measured directly through observation of system operations. The waiting time at the various service points identified as costing, update, payment and examination were recorded. Mean, range and standard deviation of waiting and service times formed the descriptive statistics for the. For inferential statistics, ANOVA test was carried out to test for significance in the different service point waiting times, and the different examination times for the different investigations. Results: Mean waiting time was 3 hours 31 seconds and average exam time was 26 minutes 31 seconds. Analysis of variance on the service point where patients wait the most showed that the point after making the payment was the most significant. There was no significant difference found in the amount of time spent on different examinations (P < 0.05). Conclusion: Timely delivery of services is of optimum importance, considering the need for patient-centred service. With the information provided on the waiting time at the different service points in a typical teaching hospital ultrasound unit, departmental managers will be guided in the planning of the departmental operations, to enhance patient satisfaction and system efficiency.


2019 ◽  
Vol 15 (3) ◽  
Author(s):  
Mor Saban ◽  
Nadav Armoni ◽  
Heli Patito ◽  
Tal Shachar ◽  
Aziz Darawsha ◽  
...  

The aim of the study is to examine whether physicians adhere to the urgency classification as determined by the Canadian Triage and Acuity Scale. A retrospective-archive study was conducted in a tertiary hospital from January 2011 to December 2015. For each patient, we examined the relation between the urgency rating set by the triage nurse and the waiting time for the physician. Additionally, we explored the relationships between waiting times for physicians and several subgroups: patient arrival time, season of the year, assigned care area, and first consultant to examine the patient, using Analysis of Variance (ANOVA) analysis. There were 392,687 unique visits during the study period. The distribution of the classification was heterogeneous: 7,133 (1.8%) patients were classified as Priority (P) P1; 17,318 as P2 (4.4%); 148,657 as P3 (37.8%); 113,502 as P4 (28.9%); and 106,077 as P5 (27%). Median and interquartile ranges for time from triage until physician assessment, by triage group, were: P1, 0.7 minutes (0.2-24); P2, 35 minutes (13-76); P3, 44 minutes (21-88); P4, 45 minutes (20-87); and P5, 46 minutes (22-88). Percentages of visits that met the evaluation time goals, by triage classification, were: P1, 61%; P2, 27%; P3, 37%; P4, 61%; and P5, 85%. ANOVA test for the four subgroups revealed statistically significant differences (P<.001). In conclusion, the standard goals for time to physician evaluation are not being met, and there is little difference in time to evaluation between the P3, P4, and P5 classifications. Initiation of system-wide changes in physician workflow and awareness may improve physician adherence to triage classification, shorten time lags, and improve patient evaluation. Further research may allow for better understanding of the factors influencing triage adherence and reinforce teamwork among Emergency Department triage nurses and physicians.


Author(s):  
Shigeyoshi Iizuka ◽  
Shozo Nishii ◽  
Eriko Tanimoto ◽  
Hiro Nakazawa ◽  
Asuka Kodaka ◽  
...  

2020 ◽  
Vol 54 (4) ◽  
pp. 231-237
Author(s):  
Lateefat B. Olokoba ◽  
Kabir A. Durowade ◽  
Feyi G. Adepoju ◽  
Abdulfatai B. Olokoba

Introduction: Long waiting time in the out-patient clinic is a major cause of dissatisfaction in Eye care services. This study aimed to assess patients’ waiting and service times in the out-patient Ophthalmology clinic of UITH. Methods: This was a descriptive cross-sectional study conducted in March and April 2019. A multi-staged sampling technique was used. A timing chart was used to record the time in and out of each service station. An experience based exit survey form was used to assess patients’ experience at the clinic. The frequency and mean of variables were generated. Student t-test and Pearson’s correlation were used to establish the association and relationship between the total clinic, service, waiting, and clinic arrival times. Ethical approval was granted by the Ethical Review Board of the UITH. Result: Two hundred and twenty-six patients were sampled. The mean total waiting time was 180.3± 84.3 minutes, while the mean total service time was 63.3±52.0 minutes. Patient’s average total clinic time was 243.7±93.6 minutes. Patients’ total clinic time was determined by the patients’ clinic status and clinic arrival time. Majority of the patients (46.5%) described the time spent in the clinic as long but more than half (53.0%) expressed satisfaction at the total time spent at the clinic. Conclusion: Patients’ clinic and waiting times were long, however, patients expressed satisfaction with the clinic times.


2020 ◽  
Vol 7 (4) ◽  
pp. 125-127
Author(s):  
Rajeev Saxena ◽  
◽  
Sartaj Sharma ◽  
Vivek Sharda ◽  
Nalini G ◽  
...  

1969 ◽  
Vol 6 (01) ◽  
pp. 122-136 ◽  
Author(s):  
B.W. Conolly ◽  
N. Hadidi

A “correlated queue” is defined to be a queueing model in which the arrival pattern influences the service pattern or vice versa. A particular model of this nature is considered in this paper. It is such that the service time of a customer is directly proportional to the interval between his own arrival and that of his predecessor. The initial busy period, state and output processes are analyzed in detail. For completeness, a sketch is also given of the analysis of the waiting time process which forms the subject of another paper. The results are used in the analysis of the state and output processes.


Author(s):  
Sebastian Rodriguez-Llamazares ◽  
Evelyn Lizette Sanchez-Ramos ◽  
Jessica Valencia-Rivero ◽  
Luis Joel Arroyo-Hernández ◽  
Edgar Felipe Castro-Arellano ◽  
...  

2000 ◽  
Vol 43 (4) ◽  
pp. 455-468 ◽  
Author(s):  
Norikazu Kawasaki ◽  
Hideaki Takagi ◽  
Yutaka Takahashi ◽  
Sung-Jo Hong ◽  
Toshiharu Hasegawa

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