ارزیابی عملکرد بیمارستان با استفاده از تصمیمگیری چند شاخصه پویا: یک مطالعه موردی در بیمارستان تامین اجتماعی امام خمینی (ره) اراک
محورهای موضوعی : -مدارک پزشکیعباس جهانگیری 1 , محمد جهانگیری 2
1 - مربی، گروه مهندسی صنایع، واحد خمین، دانشگاه آزاد اسلامی، خمین، ایران
2 - کارشناسارشد مهندسی بهداشت حرفهای، سازمان تامین اجتماعی، مدیریت درمان استان مرکزی، درمانگاه تخصصی شماره 3 اراک، اراک، ایران
کلید واژه: بیمارستان, ارزیابی عملکرد, تصمیمگیری, ارزیابی محصول جمع شده با وزن, تصمیمگیری چند شاخصه پویا,
چکیده مقاله :
مقدمه: ارزیابی عملکرد، یک مقیاس عددی است که اطلاعات مورد نیاز مدیران را در خصوص ارزشیابی و پایش وضعیت و فعالیتهای جاری بیمارستان فراهم میکند. یکی از ابزارهای ارزیابی عملکرد استفاده از روش پویای تصمیمگیری چند شاخصه میباشد. هدف از این تحقیق ارزیابی عملکرد بیمارستان با استفاده از روش تصمیمگیری چند شاخصه پویا بود. روش پژوهش: در این مطالعه مقطعی و موردی، عملکرد بیمارستان امام خمینی اراک طی سی ماه متوالی که هر ماه به عنوان یک گزینه در ماتریس تصمیم در نظر گرفته شده است و با در نظر گیری 6 شاخص مهم با استفاده از روش"ارزیابی محصول جمع شده با وزن"به صورت پویا با کمک نرمافزارExcel سنجیده شد. یافتهها: نمرات عملکرد بیمارستان افت و خیزهایی در طی زمان داشت ولی به طور کلی یک روند افزایشی در طول سی ماه را نشان داد. بیشترین و کمترین مقدار به ترتیب مربوط به ماههای 27 و 12 بود (0.9577 و 0.5503). علاوه بر این در اسفند هر سال کاهش چشمگیری را نشان داد. نتیجهگیری: روند نمرات عملکرد بیمارستان نشان داد عملکرد بیمارستان مذکور در طی زمان بهبود یافته است. استفاده از روش تصمیمگیری چند شاخصه پویا جهت ارزیابی عملکرد، پیشنهادی به مدیران و محققین آتی میباشد.
Introduction: Performance evaluation is a numerical scale that Provides management information about evaluating and monitoring the current situations and activities of hospital. One of the performance evaluation tools is Dynamic Multiple Attribute Decision Making (DMADM) method. The purpose of this paper was performance evaluation of hospital via DMADM. Methods: In this cross-sectional case study the performance of Imam Khomeini hospital in Arak during 30 consecutive months that each month in decision matrix considered as an alternative, by considering 6 important attributes dynamically by using weighted aggregated sum product assessment (WASPAS) via Excel 2010 software was evaluated. Results: Hospital Performance Scores had fluctuations during the time but generally showed an upward trend during the thirty months. The maximum and minimum value was relevant of 27 and 12, respectively (0.9577, 0.5503). Furthermore showed a significant decrease in March of each year. Conclusion: The trend of hospital Performance Scores showed that the performance of mentioned hospital has improved during the time. Using the DMADM method in order to performance evaluation is a suggestion to managements and future researchers
1- Tabibi Sj, Maleki MR, Mojdekar R. Evaluation of Performance of Ayatollah Kashani Hospital, Tehran, based on Malcolm Baldrige Model. journal of medical council of islamic republic of iran, 2009; 27(1): 23-30. [in Persian]
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3- Zahiri M, Keliddar I. Performance evaluating in hospitals affiliated in AHWAZ University of Medical Sciences based on PABON LASSO model. Hospital, 2012; 11(3): 37-44. [in Persian]
4- Dahimavy A, Ghanian M, Ghoochani OM, Zareyi H. Process of application of multi criteria decision making models in prioritizing of water development projects of rural areas in the Khuzestan province. Journal of Water and Sustainable Development, 2015; 1(3): 9-16 .[in Persian]
5- Abooee F, Mirghafoori S, Khanjankhani K, Shafie M. Evaluation and Ranking of Selected Hospital Wards in Terms of Quality of Delivered Services. health information management, 2015; 15(5): 647-658. [in Persian]
6- Alimohamadiyan E, shafiee M. A fuzzy multi-criteria decision approach for performance evaluation and improve the gaps among Shiraz University of Medical Sciences’ teaching hospitals based on balanced score card approach. Razi Journal of Medical Sciences, 2016; 22(140): 12-24. [in Persian]
7- Zavadskas EK, Turskis Z, Antucheviciene J, Zakarevicius A. Optimization of Weighted Aggregated Sum Product Assessment.Elektronika ir Elektrotechnika.2012;122(6):3-6.
8- Vafaeipour M, Hashemkhani Zolfani S, Morshed Varzandeh MH, Derakhti A, Keshavarz Eshkalag M. Assessment of regions priority for implementation of solar projects in Iran: New application of a hybrid multi-criteria decision making approach. Energy Conversion and Management, 2014; 86: 653-63.
9- Zavadskas EK, Kalibatas D, Kalibatiene D. A multi-attribute assessment using WASPAS for choosing an optimal indoor environment. Archives of Civil and Mechanical Engineering, 2016; 16(1): 76-85.
10- Chen Y, LiB. Dynamic multi-attribute decision making model based on triangular intuitionistic fuzzy numbers. Scientia Iranica, 2011; 18(2): 268-74.
11- Xu Z. On multi-period multi-attribute decision making. Knowledge-Based Systems, 2008; 21(2): 164-71.
12- LinY-H, Lee P-C, Ting H-I. Dynamic multi-attribute decision making model with grey number evaluations. Expert Systems with Applications, 2008; 35(4): 1638-44.
13- Xu Z, Yager RR. Dynamic intuitionistic fuzzy multi-attribute decision making. InternationalJournal of Approximate Reasoning, 2008; 48(1): 246-62.
14- Asgarpour MJ. Multiple Criteria Decision Making. Tehran: University of Tehran; 2011. 399 p. 9th Edition.[in Persian].
15- Azar A, Motamani A. Designing of dynamic model of efficiency with DEA approach. Managementresearches in Iran, 2003; 7(3): 1-22.[in Persian]
16- Jahangiri A. The effect of recruiting medical staff on hospital efficiency: a case study in Imam Khomeini hospital related to Social Security Organization in Arak. Sixth International Conference on DEA; Islamic azad university, Lahijan branch; 2014. [in Persian]
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1- Tabibi Sj, Maleki MR, Mojdekar R. Evaluation of Performance of Ayatollah Kashani Hospital, Tehran, based on Malcolm Baldrige Model. journal of medical council of islamic republic of iran, 2009; 27(1): 23-30. [in Persian]
2- jalilibal z, kianpourm, jolai f. Assessing the Public and Private Hospital Performance Based on Considering Resilience Engineering Indices: An Integrated Simulation and Decision Making Approach. Hospital, 2015; 14(4):9-20. [in Persian]
3- Zahiri M, Keliddar I. Performance evaluating in hospitals affiliated in AHWAZ University of Medical Sciences based on PABON LASSO model. Hospital, 2012; 11(3): 37-44. [in Persian]
4- Dahimavy A, Ghanian M, Ghoochani OM, Zareyi H. Process of application of multi criteria decision making models in prioritizing of water development projects of rural areas in the Khuzestan province. Journal of Water and Sustainable Development, 2015; 1(3): 9-16 .[in Persian]
5- Abooee F, Mirghafoori S, Khanjankhani K, Shafie M. Evaluation and Ranking of Selected Hospital Wards in Terms of Quality of Delivered Services. health information management, 2015; 15(5): 647-658. [in Persian]
6- Alimohamadiyan E, shafiee M. A fuzzy multi-criteria decision approach for performance evaluation and improve the gaps among Shiraz University of Medical Sciences’ teaching hospitals based on balanced score card approach. Razi Journal of Medical Sciences, 2016; 22(140): 12-24. [in Persian]
7- Zavadskas EK, Turskis Z, Antucheviciene J, Zakarevicius A. Optimization of Weighted Aggregated Sum Product Assessment.Elektronika ir Elektrotechnika.2012;122(6):3-6.
8- Vafaeipour M, Hashemkhani Zolfani S, Morshed Varzandeh MH, Derakhti A, Keshavarz Eshkalag M. Assessment of regions priority for implementation of solar projects in Iran: New application of a hybrid multi-criteria decision making approach. Energy Conversion and Management, 2014; 86: 653-63.
9- Zavadskas EK, Kalibatas D, Kalibatiene D. A multi-attribute assessment using WASPAS for choosing an optimal indoor environment. Archives of Civil and Mechanical Engineering, 2016; 16(1): 76-85.
10- Chen Y, LiB. Dynamic multi-attribute decision making model based on triangular intuitionistic fuzzy numbers. Scientia Iranica, 2011; 18(2): 268-74.
11- Xu Z. On multi-period multi-attribute decision making. Knowledge-Based Systems, 2008; 21(2): 164-71.
12- LinY-H, Lee P-C, Ting H-I. Dynamic multi-attribute decision making model with grey number evaluations. Expert Systems with Applications, 2008; 35(4): 1638-44.
13- Xu Z, Yager RR. Dynamic intuitionistic fuzzy multi-attribute decision making. InternationalJournal of Approximate Reasoning, 2008; 48(1): 246-62.
14- Asgarpour MJ. Multiple Criteria Decision Making. Tehran: University of Tehran; 2011. 399 p. 9th Edition.[in Persian].
15- Azar A, Motamani A. Designing of dynamic model of efficiency with DEA approach. Managementresearches in Iran, 2003; 7(3): 1-22.[in Persian]
16- Jahangiri A. The effect of recruiting medical staff on hospital efficiency: a case study in Imam Khomeini hospital related to Social Security Organization in Arak. Sixth International Conference on DEA; Islamic azad university, Lahijan branch; 2014. [in Persian]