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Showing 2 results for Ahvaz University of Medical Sciences

Safiyeh Yaghoubi, Reza Goudarzi, Mostafa Baniasadi , Maryam Eslamiyan, Noorolhoda Fakhrzad , Mohsen Barouni,
Volume 11, Issue 2 (7-2017)
Abstract

Background and Aim:  Hospital as an economic entity, should utilize economic analysis for the optimal use of resources and production facilities. The aim of this study was to estimate the production function of Ahvaz University of Medical Sciences during the period 2006-2014.
Materials and Methods: This study was a descriptive cross-sectional analysis. The Data were collected during a period of 9 years in 7 hospitals in Ahvaz. The dependent variable in this study was the number of hospital admissions as the production level and the explanatory variables, including nurses, physicians, staffs, and the number of beds. To determine and specify the form of subordinated Cobb - Douglas production function was used. Data analysis and econometric model was estimated using STATA11. 
Results: Research findings showed 0.28 elasticity for the physicians, elasticity for  nurses, number of beds , outpatient reception and other staffs were 0.10, 0.95, 0.30 and -0.11 respectively. In other words, the most production in these hospitals was dependent on the number of beds. It was an economic activity that consumed a lot of capital. The sum of the coefficients of the production function was 0.88 and the return to the scale was downward.
Conclusion: The findings of this study showed that hospital beds have great importance in increasing production. Therefore, the rate of active bed occupancy in these hospitals is high and has the largest role in the production of hospitals or the number of inpatient discharge. 

Simin Momenzadeh, Atefeh Zarei, Phd Seyed Ali Akbar Famil Rouhany, Leila Dehghani,
Volume 15, Issue 2 (5-2021)
Abstract

Background and Aim: This study aimed to propose a consistent architecture to design integrated and flexible information systems for the Vice-Chancellor for Research and Technology of Ahvaz Jundishapur University of Medical Sciences (AJUMS). 
Materials and Methods: This applied research employed an integrated design based on business system planning (BSP) and James Martin's model for the design of information systems. The statistical population of this study included 27 managers and experts of AJUMS Vice-Chancellorship department for Research and Technology. Data collection was carried out using structured interview, observation, and document analysis. A contrast matrix was then used for data analysis.
Results: In total, 53 processes and 60 data classes were identified. Using a multi-layered architectural model (presentation, process, data and infrastructure), the results were presented in the form of a proposed architecture. In the proposed architecture, 12 subsystems and the relationships among them were identified; such subsystems as library, research activities, sabbatical leave, conference, fellowship, publication, innovation and technology, laboratory information, theses, budget and planning, social subsystem and knowledge-management networks. The results also showed that the level of coverage of the processes, data classes, and objectives by existing information systems were 53%, 50%, and 55%, respectively, and increased to full coverage in proposed or optimal modes.
Conclusion: By identifying the required information systems, it is possible to accurately plan and successfully use these systems in this study. The results of the present study can be used to implement the architecture of information systems of Research and Technology Departments of other universities of medical sciences (UMSs) in Iran, which can have a significant effect on saving cost and time.


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