Showing 4 results for Dehghan
Roohollah Askari, Hamid Reza Dehghan, Mohammad Amin Bahrami, Fatemeh Keshmiri,
Volume 9, Issue 3 (7 2011)
Abstract
Background: The hospitals are the most significant providers of health care services. According to more health funds spending by hospitals, economic management in hospitals is necessary. Determining the causes and rates of insurance under reimbursement bills was the objective of this study.
Materials and Methods: This research is a descriptive cross-sectional survey was done in 2008. The samples of study were the al records' patients who undertaken of social security insurance system in the teaching hospitals of Shahid Sadoughi University of Medical Science. The data complied in SPSS 16 software and then analyzed.
Results: In this study, 9.8% cases of all hospitalization bills were deducted. The highest rates of under reimbursement bills was in Afshar hospital (12.7%), followed by burn hospital (12.5% ), Shahid Sadoughi hospital (10%), and Shahid Rahnemoon hospital (8.2%). The highest rates of under reimbursement bills imposed to the surgeon fees (28.4%), treatment fees (15.06%), and medicine (14.3%) costs. However assistant surgeon fees had no under reimbursement. The most important causes of under reimbursement were defects in the insurance records of patients and noncompliance with insurance organization regulations.
Conclusion: Training of human resources and optimized use of hospital information systems could be helpful to hospitals for reducing insurance reimbursement to ultimately improve hospitals to financial statements.
Iman Dehghan, Dr Bakhtiar Ostadi, Dr Saeid Hosseini,
Volume 17, Issue 4 (2-2019)
Abstract
Background: The operating rooms in each health center are one of the most sensitive units in the center, whereas scheduling and scheduling operations are in particular importance and their optimization has a significant effect on the optimization of the whole complex. The scheduling of heart surgery in addition to the limitations of manpower, time, and facilities includes the limitation of the patient's surgical deadline, which is the purpose of the surgical scheduling given this parameter.
Materials and Methods: In this quantitative study, an algorithm containing 3 + 1 function was proposed. This algorithm also addresses uncertainty while monitoring the limitations of available resources and the maximum delay for surgery. In this study, patients categorize to emergency and non-emergency patients which only the scheduling of non-emergency patients is considered. In this study 343 patient was studied.
Results: Based on a six-month period information reviewing from Shahid Rajaie Cardiovascular Center in Tehran, a 11% improvement has been made in respecting the maximum delay for the patient's referral process. The optimization rate is often related to the difference in patient selection based on their deadline for surgery, which in the present algorithm has been a major contributor to the denial of service patients. Another advantage of the proposed algorithm is the dynamic process of the algorithm and appropriate response to the changes.
Conclusion: The longer the length of the queue, the lower the chance of accepting non-emergency patients with the shorter maximum delays.
Hossein Dehghanzadeh, Mohammad Meskarpou_amiri, Sayyed_morteza Hossein_shokouh, Mohammadkarim Bahadori, Javad Khoshmanzar,
Volume 20, Issue 1 (5-2021)
Abstract
Background: Due to the legal necessity of changing the approach of universities from traditional budgeting into the operational budgeting system, it should be noted that this method of budgeting is associated with challenges. The aim of this study was to evaluate the feasibility and prioritization of operational budgeting dimensions in a military medical university.
Materials & Methods: This descriptive-analytical and cross-sectional study was conducted in 2020 in two stages. In the first stage, 68 managers, staff and experts of the deputy for Planning and Finance of a Military Medical Sciences university were enrolled by census method. In the second stage, 10 experts were purposefully included in the study. Data collection tool was two valid and reliable questionnaires. Data were analyzed using t-test and SPSS software in the first stage and using AHP approach and Expert Choice software in the second stage.
Results: The average overall score and the score for each of the dimensions of ability, authority and acceptance of operational budgeting was 2.3, 2.39, 2.38 and 2.31, respectively which was at an undesirable level (P< 0.05). Also, dimensions of the ability with a weight of 0.547, acceptance with a weight of 0.244 and authority with a weight of 0.209 had the highest weight and importance in the implementation of the operational budgeting system, respectively.
Conclusion: Based on the results, it is necessary to pay attention to the three main dimensions of ability, authority and acceptance in implementing operational budgeting in the study population.
Mehdi Raadabadi, Mohammad Sadeghi, Masoud Saffari, Mohadeseh Karimizadeh, Ezat Dehghan Manshadi, Mehdi Jabinpour, Elham Haji Maghsoudi,
Volume 21, Issue 2 (9-2022)
Abstract
Introduction& Purpose: One of the challenges that organizations face today is the issue of retaining employees in the organization. Meanwhile, addressing the causes of early retirement among health workers is doubly important. The aim of this study was to investigate the causes of early retirement in retirees of Yazd University of Medical Sciences.
Methods: The present descriptive research was conducted to find the causes of early retirement among retirees of staff of Yazd Medical Sciences between 2016 and 2018. Collecting dada was done by examining the personnel file, retirement system and through interviewing people. Data description was done using descriptive statistics and SPSS.21 software.
Results: The average number of years of service lost was 3.7 years. In total, there were more than 528 years of service lost. Regarding job characteristics, the majority of retirees were employed in service and nursing positions (4701%), in hospital (45%) and health centers (42.9%). The study of the causes of early retirement showed that the most common causes of retirement were related to boring work environment (55.7%), physical problems and underlying diseases (40.7%) and lack of support from officials (24.3%).
Conclusion: According to the findings, multilateral support in the organization, promotion of rewards and economic benefits, creating morale in the organization, observing the principles of mental health, reducing anxiety and creating hope and increasing participation of employees in the decision-making process can be effective in reducing early retirement.
