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Showing 2 results for Baniasadi

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. 

Saber Yazdani Damavandi, Tayebeh Baniasadi, Mohammad Ali Molavi, Farid Khorrami,
Volume 19, Issue 5 (12-2025)
Abstract

Background and Aim: Cancer has been recognized as the second leading cause of child mortality in recent years. Due to the increasing amount of healthcare data for cancer patients, healthcare providers need a tool to monitor patients for immediate intervention. An intelligent and dynamic information management dashboard is capable of compiling and displaying data using charts and tables. In the present study, a management dashboard was designed for the oncology department of a children’s hospital, and its usability was evaluated.
Materials and Methods: This developmental–applied research was conducted in 2024 at the Educational, Medical, and Research Center for Children in Bandar Abbas. In order to create a management dashboard for the pediatric oncology department, three stages were carried out. In the first stage, all necessary content to be displayed on the dashboard was extracted based on a review of literature and documents from the oncology department of Bandar Abbas Children’s Hospital. This content was then validated by experts using the Delphi method in two rounds. In the second stage, a prototype of dashboard for the oncology ward was designed using Power BI Desktop software. Finally, its usability was evaluated using a SUS questionnaire by 20 users. The data were analyzed using descriptive statistics with SPSS software.
Results: Following the screening of 3,435 initial records and a review of 22 articles alongside 38 patient files, a preliminary set of 104 managerial and 67 clinical indicators was extracted. These indicators were validated through a tworound Delphi process with 12 experts, resulting in the final selection of 105 managerial and 71 clinical indicators for dashboard inclusion. Based on this validated set, a tenpage managerial dashboard was developed to present key performance metrics. Usability assessment using the System Usability Scale (SUS) yielded a mean score of 75.87, which, according to the Bangor scale, is classified as “acceptable” and corresponds to a grade of “excellent.” User feedback informed subsequent refinements to the dashboard’s data visualizations and interface. In summary, the developed dashboard represents an effective and userfriendly tool for monitoring and managing information within a pediatric oncology department.
Conclusion: The pediatric oncology management dashboard facilitates the integration and summarization of essential data for healthcare providers, thereby assisting them in making timely diagnoses and interventions for children with cancer. Additionally, the present dashboard demonstrates appropriate usability, which enhances users’ understanding of health information and leads to more accurate decision-making.


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