جستجوی مقالات مرتبط با کلیدواژه « زمان انتظار » در نشریات گروه « پزشکی »

The emergency department of a hospital is akin to its heart, where smooth operations can save many lives. This research aims to reduce patient waiting time in the emergency department using simulation techniques.

This descriptive-analytical study was conducted cross-sectionally in 2019 at the Qaim Hospital in Mashhad. The study focused on accurately modeling the patient flow process in the emergency department using simulation techniques and Arena software. Key performance indicators such as patient waiting time, number of discharged patients (system output), length of stay, resource efficiency, and improvements in the emergency department were evaluated.

The simulation model's results indicated that the laboratory, specialist doctor examination, and pharmacy departments had the longest waiting times in this department, respectively.

To reduce patient waiting times and improve conditions, the most effective and cost-efficient solution is to add a laboratory technician to the laboratory department during the [15-23] shift at Qaim Hospital in Mashhad, which is projected to decrease patient waiting times by 66 minutes.

Receiving a quick response is not only one of the important factors affecting the satisfaction of emergency patients but also one of the indicators for evaluating the quality of emergency services. The aim of this study was to compare the selected national indicators of hospital emergency with the standards in a selected military hospital in Tehran. 

This descriptive-analytical and cross-sectional study performed in 2020 with random selection of patients referred to the emergency department of a military hospital in Tehran. Data collection tool was a researcher-made form whose validity and reliability were confirmed. Data were analyzed by t-test using SPSS software with α= 5%.

Results showed that the average waiting time to receive the service until the assignment was 267 minutes.  Also, the percentage of patients assigned within 6 hours, the index of patients discharged from the emergency department within 12 hours and the index of leaving with personal responsibility were in accordance with national standards and the average of the relevant values ​​was statistically significant (P <0.05).

According to the results of this study, the indicators were in good condition. Hospital managers should pay special attention to these indicators and study them periodically. Also, in order to avoid long waiting times and reducing costs, proper and optimal management of resources are seeming essential.

outpatient services are an important part of health services. One important aspect of outpatient services is outpatient appointments. The study aimed to investigate the outpatient appointments and time management status in private practices.

This was a cross-sectional study that was conducted in Tehran in 2020.  Two hundred and eight practices were selected by using convenient sampling. Data was collected using a 50-items self-designed questionnaire. The validity and reliability of questionnaires were tested before data collection. SPSS software version 23 was used for data analyses.

More than half of the practices (56.3%) were specialists’ offices. In 85.6% of the practices patients were admitted on schedule. Data indicated that in most clinics scheduled patients were in priority for being visited by the physician (59.3%). Compared to younger physicians, the possibility of not using appointment systems was higher in older physicians and among physicians with higher working experiences (P value=0.01 and P value=0.039 respectively).

In general, the findings showed that the age and work experience of the physicians might play an important role in the use of queuing systems in medical practices. It seems that simplifying the appointment methods can be effective in increasing the use of appointment systems and improving the management of waiting time for outpatients in private practices. It is the responsibility of health system managers and experts to produce simple tools and methods without the need for sophisticated technology for this group of outpatient service providers.

Accompanying the patients' family members in hospital creates feeling of empathy, safety of and help with fulfilling their expectations. Because both the patients and careers suffer from high stress due to lack of awareness about medical condition and treatment process. It is important for health system to understsand the expectations of patients and family members to be responsive and fullfill it correctly. This study was conducted to discover the patients carers (family members) experiences and expectation of patients undergoing surgery.

This qualitative phenomenological study was performed on 15 family members of patients undergoing surgery by purposive sampling until complete saturation of information. Data were collected through semi-structured interviews and recorded using word software. Items were extracted and qualitative content analysis method was used to analyze the data.

By analyzing the data, the main theme is "anxious minutes" and 5 main categories including "associated internal conflicts, behavioral changes while waiting, concerns about the prognosis of surgery, concerns about the outcome of the treatment process, and doubts about Hospital components" were extracted.

While waiting for the end of the surgery, families experience many anxieties and worries about the patient's health and the treatment process. Considering the concerns of the patient's companions with principled planning, appropriate and practical interventions can improve the mental health of families and improve the quality of patient care.

Hospitals play a key role in ensuring community health. Among the hospital departments, the surgery room accounts for a significant portion of the cost and revenue of the hospital. Surgery timing is important to increase the efficiency of operating rooms. The purpose of this study was to optimize surgical hall scheduling based on discrete event simulation model.

This cross-sectional study was performed in the summer of 2018 in the operation room of one of the hospitals in Tehran. As people entered the operation room, their information about the cause and condition that caused the surgery, the type of surgery (elective or emergency) the time of being in the operation was recorded by details. Data analysis was performed SPSS software and simulation of therapeutic system was performed  Arena software.

By analyzing the input data of 625 patients during three months, more than 60% of patients were men and less than 40% were women. The first entry into the surgery room for the selected patients was at 7:10 am and the last was at 5:00 pm. Of the eight scenarios presented, two arrival rate correction scenarios (noon arrival distribution) and a combined scenario (noon queue correction and patient adding) resulted in the greatest reduction in waiting time.

The results of this study showed that changing the distribution of patients chr('39')arrival to hours with less input time can decrease patientschr('39') waiting time and increase the efficiency of surgery room.

One of the most significant indicators of the evaluation of emergency centers is the calculation of waiting time for patients to receive diagnostic and therapeutic services. The aim of the present study was to determine the waiting time for the provision of services in the emergency departments of teaching hospitals in Khorramabad.

This research was a cross-sectional study conducted in 2017. The study population consisted of all the patients referred to the emergency departments of educational hospitals with an emergency department in Khorramabad. Sampling was randomly carried out through multistage stratified sampling. A valid and reliable checklist was used to collect data, and the data were analyzed by SPSS- 19 by related descriptive and analytical statistical tests.

The three investigated hospitals had a total of 166 emergency beds. 70.6% (573 patients) of the patients had attended the emergency departments with one of their companions, and the greatest frequency of consulation was related to internal medicine specialists (44.5%, 361 people). The gaps between the triage and the first visit, the first visit and the first diagnostic action, sending the first diagnostic action and the medical consultation result, and finally the medical consultation and the outcome of the medical consultation were 8.37 minutes, 31.27 minutes, 9.6 hour, and 7.38 hour respectively.

Regarding the results of this study, it is suggested that the number of emergency department staff and related para-clinical sections increase, thereby reducing the waiting time of people to receive emergency services. Moreover, the authorities are recommended to increase the number of the staff of the night shift in the emergency departments.

A major part of health care costs is dedicated to the costs of treating patients with cardiovascular disease constitute so that investigating the costs of these patinets is imporatnt. To this end, the dircet costs of hospitalized patients waiting for receiving pacemaker in Shahid Madani Hospital in Tabriz has been analyzed from the view of hospital in this study.  

This is a descriptive cross-sectional study. The statistical population included 135 patients receiving a permanent pacemaker. The average cost per patient, cost of each day of admission to ordinary sectors, the CCU and the ICU, cost saving in case of reciving a pacemaker timely regarding the patient’s share of the insurance, the percentage of out-of-pocket payment and the cost of lost productivity were calculated for additional hospitalization days.

The results show that the total cost of pacemaker insertion on the waiting list is almost 2 billion Rilas, the average cost per patient is about 20 million Rials and the average cost of per day hospitalization is approximately 3 million Rials. During the hospitalization days, the average cost of per patient and the average cost of per day hospitalization in the CCU are respectively 29 million Rials and 4 million Rilas. Also, the average cost of per patient and the average cost of per day hospitalization in the ICU are respectively 92 million Rials and 6 million Rials. The lost productivity cost for ecah patient is nearly two million rials.

Increasing the patinets waiting days would result in boosting the costs of hospital and the insurer organizations. Therefore, healthcare costs can be cost-effcetive by adopting proper strategies to decrease the number of waiting days for patients (for example, pririotizing patients based on scientific principles in terms of financial and economic funds and following an appropraite clinical instrcution) and health insurance can function more effectively in allocating funds.

Waiting time is one of the factors affecting patients' satisfaction with the quality of services, therefore, reducing the waiting time has an essential role in the improvement of services and clients' satisfaction. The present study was performed to study the client patients waiting time in referral restorative dentistry department of dental clinic using Six Sigma model.

In this descriptive study, 300 patients who referred to the restorative dentistry department of dental clinic, were included. Finally, 30 subjects were selected using random sampling method. Data were collected by waiting time measurement forms and researcher-made checklists. To determine the process quality, six sigma model was used. Finally, data were analyzed using SPSS version 16.

The highest mean waiting time belonged to the oral diseases department (mean=31 min) and the lowest one belonged to the examination unit of restorative dentistry department (mean=15 min). The most important factors extending the waiting time were simultaneous entrance of patients (mean=4.6 min), lack of medical students' skill and experience (mean=4.2 min), lack of employees and integration of reception unit with cash desk (mean=4 min), respectively.  

Therefore, by analyzing reception process, appropriate management, and using Six Sigma model, waiting time will reduce, clients' satisfaction will increase, and the quality of services will improve.

Discharge Process is the most important stage affecting in patient’s satisfaction and it is one of the major challenges in hospital management. This study aim to determine the average waiting time of patient discharge process and identify effecting factors of this process in Emam Reza Hospital in Mashhad، in the 2014.

In this cross-sectional survey waiting time of patients discharged from all clinical sections of the Imam Reza hospital in Mashhad were studied. Number of 455 patients were selected and discharge time of them at six different stages (In section، distance between section to the medical record، in medical records، distance between medical records to Accounting، cost calculation and cost payment in accounting) by using stop-watch method were measured. data has been analysed using descriptive and analytical statistics at 0. 05 significant level by SPSS16.

The results showed that the waiting time was 504. 26± 362. 96 Minute. It was statistically differences between different wards of the hospital in which ENT section has the lowest and Burns section has the highest discharge time.

we concluded that the maximum time related to station 1 (Within the medical sector) and station 6 (cost payment) Therefore suggested to perform corrected solution in this stations such as change visit hours and make schedule for sending medical record to the accounting department and helped to reduce patient waiting time.