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Showing 5 results for Data Envelopment Analysis
The Efficiency analysis of Medical Records Departments of Tehran University of Medical Sciences Hospitals with Data envelopment analysis (2007-2009)
H Dargahi , N Masuri , R Safdari , S Fazaeli , M Yousefi ,
Volume 4, Issue 2 (9-2010)
Abstract

Background and Aim: Analysis of efficiency in hospitals, as the most expensive operating unit of the health system, is very important. This costly unit has several departments that one of them is medical records. This study is trying to analyze the efficiency of medical records department for the enhancement of using medical records facilities.

Materials and Methods: In this study, technical, scale and managerial efficiency of medical records department has been studied by data envelopment analysis method, and assuming the scale efficiency variable and the input axis. Information used in this study was the input variables (number of technician personnel and lower and Master of Science personnel and higher), output variables (number of emergency and outpatient and inpatient medical records and the number of filing unit visitors to respond) during 2007-2009.

Results: The average technical efficiency of medical records departments is 84 percent, that indicates there is at least 16 percent capacity for an increase in performance. Average of management and scale Performance in units during the 3 years of study are 95 and 89 percent respectively. Most input surplus is relevant to technician and lower personnel. The average performance of these units in general hospitals is 80 percent and in specialized activities is 92 percent.

Discussion and Conclusion: Relationship between studied indicators in this study with performance medical records departments showed that using such as employee personnel with undergraduate degrees and higher and educated in medical records filed, the use of managers with enough experience in this department and more use of computer systems for unit activities can fill 16 percent capacity of performance improvement in these units.


Efficiency Appraisal Of Yazd University Of Medical Science Hospitals By Quantitative Approach Data Envelopment Analysis(DEA)
Roohollah Askari, Reza Goudarzi, Hossein Fallahzadeh, Bahareh Zarei, Arefeh Dehqani Tafti,
Volume 6, Issue 3 (9-2012)
Abstract

Background and Aim: Paying attention to efficiency of cost and performance in hospitals as the largest and the most costly performing unit of the health care systems is very crucial. This study aimed to assess the efficiency of hospitals related to Yazd University of Medical Sciences (YUMS).

Materials and Methods: In this study, the efficiency of Hospitals of YUMS was assessed by Data Envelopment Analysis method during years 2000- 2008. The variables were of two types: output variables including the percentage of occupied beds, inpatient days and the number of surgical procedures and input variables were number of active beds, nurses, medical staff and other personnel. The data was analyzed using Deap2.1 software.

Results: Average of technical, management and scale efficiency of hospitals was 0.958, 0.986 and 0.963 respectively. We concluded that the capacity of efficiency promotion in hospitals is increasable up to 5%. In addition, the nurses as one of the most important input variables, had the most apparent slack inputs.

Conclusion: Although the level of efficiency was optimal and there was little unused capacity for increasing efficiency in hospitals, however, managers should plan to increase the efficiency. Finally, assessing the effect of variables such as service quality and patient satisfaction on hospitals efficiency is recommended.


Hospitals’ Efficiency in Iran: A Systematic Review and Meta-Analysis of Two Decades of Research
Ali Mohammad Mosadeghrad, Parvaneh Esfahani , Marziyeh Nikafshar,
Volume 11, Issue 3 (9-2017)
Abstract
Background and Aim: Increasing healthcare organizations’ efficiency is a necessity due to the resource scarcity in health sector. The aim of this study was to evaluate hospitals’ efficiency in Iran.
Materials and Methods: This study was conducted using a systematic review and meta-analysis approach to find empirical research papers published on hospital efficiency in Iran between 1997 and 2016. Seven electronic databases and two search engines were searched using appropriate key words. Bibliography section of the retrieved papers and related journals were also searched for papers that were not yet indexed in the data bases. 1563 publications were identified. All retrieved papers were assessed using a checklist before analysis. Finally 91 empirical studies were reviewed.
Results: Data Envelopment Analysis, Pabon Lasso and Stochastic Frontier Analysis methods were mostly used for measuring hospital efficiency respectively. The average efficiency of Iran hospitals varied between 0.584 and 0.998. Hospitals affiliated to Social security organisation were more efficient. In contrast, non teaching public hospitals and charity and private hospitals were less efficient. Number of hospital beds and manpower were the most used input variables and number of outpatients and inpatients patient  and surgical procedures were the most used output variables in Data Envelopment Analysis. Stochastic Frontier Analysis method has more advantage in measuring hospital efficiency compared to Data Envelopment Analysis. 
Conclusion: Iran hospitals suffer from inefficiency. Thus, managers should identify the reasons for hospitals’ ineffeiciency and apply measures for increasing their efficiency and reducing wastage of limited resources.

Efficiency Assessment and Ranking of TUMS Hospitals Using Data Envelopment Analysis
Mohammad Khodabakhshi , Hossein Dargahi, Hajar Moammai ,
Volume 11, Issue 4 (12-2017)
Abstract
Background and Aim: Because human health is a strategic priority for all communities, investing in this sector will be very important. The purpose of this research is to evaluate the efficacy of hospitals affiliated to Tehran University of Medical Sciences from 2013 to 2015 and their ranking, and provide a perspective for dynamic managers in this area.
Materials and Methods: This is an applied study, and in terms of nature, it is descriptive. The statistical population of this study was 13 hospitals of this university. In this research, the efficacy of hospitals during the years 2013 to 2015 through the data envelopment analysis and Output-based method was evaluated. By carefully examining global research, input and output indicators were identified. Input indexes were the number of beds and the number of doctors (general, residents and specialists); and output indexes were the total days of hospitalization, the number of outpatients, and the number of bed-days.
Results: According to the study model, university hospitals with high efficiency to low efficiency are as follows: Arash, Bahrami, Zanan, Roozbeh, Amiralam, Ziaeeyan, Baharlou, Razi, Valiasr, Sina, Farabi, Imam Khomeini and Shariati hospitals.
Conclusion: According to output-based method, by calculating the efficiency mean of hospitals during the years 2013 to 2015; Arash hospital, Bahrami hospital and Zanan hospital are determined to be the most efficient; and, Farabi hospital, Imam Khomeini hospital, and Shariati hospital are the ones with the lowest efficiency.

Evaluating the Efficiency of Hospitals Using Network Data Envelopment Analysis (NDEA) and Providing a Suitable Model of Allocating Resources for Future Investments
Zahra Aghasizadeh, Ali Reza Pouya, Nasser Motahari Farimani, Ali Vafeaa Najjar,
Volume 16, Issue 1 (3-2022)
Abstract
Background and Aim: Hospitals are the most important component of the health system and accurate evaluation of their performance is important. So far, much research has been done on the evaluation of hospitals using DEA models, but in these studies, organizations are considered as a black box and system processes and relationships between them are ignored. In this study, the efficiency of hospitals was evaluated using network envelopment analysis and its results were compared with simple envelopment analysis.
Materials and Methods: The method of the present research was ptactical and the nature of the survey was descriptive. The research population was all hospitals and educational centers affiliated to Mashhad University of Medical Sciences with a capacity of more than one hundred beds, which included twelve public hospitals and forty-eight sections. To collect information, methods of observing and studying documents, records and statistics of hospital activities have been used. For validation, by calculating Spearman correlation coefficient, it was found that the proposed model has a significant correlation with the Black Box DEA Model and the validity of the model was confirmed. SOLVER DEA and EXCEL software were used to implement the model.
Results: The results show that by considering the internal departments of the organization as well as the relations between the departments, a more accurate analysis of the efficiency of the hospitals would be done and we will have a better separation in the ranking between the organizations. Also, by using the network DEA model, the overall efficiency, the efficiency of each department and the rank of each department in comparison with similar departments in other hospitals are determined.
Conclusion: The framework presented in this study can be an appropriate criterion for measuring the efficiency of hospitals and their internal sections by determining the overall position of each hospital relative to other hospitals and by determining the efficiency of the section. By determining the efficiency of the internal departments of hospitals, a suitable priority is provided for allocating resources and investing in different departments in the direction of organizational improvement.

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