Skip to main content
Log in

Performance Evaluation of Medical Records Departments by Analytical Hierarchy Process (AHP) Approach in the Selected Hospitals in Isfahan

Medical Records Dep. & AHP

  • ORIGINAL PAPER
  • Published:
Journal of Medical Systems Aims and scope Submit manuscript

Abstract

Medical Records Department (MRD) is an important unit for evaluating and planning of care services. The goal of this study is evaluating the performance of the Medical Records Departments (MRDs) of the selected hospitals in Isfahan, Iran by using Analytical Hierarchy Process (AHP). This was an analytic of cross-sectional study that was done in spring 2008 in Isfahan, Iran. The statistical population consisted of MRDs of Alzahra, Kashani and Khorshid Hospitals in Isfahan. Data were collected by forms and through brainstorm technique. To analyze and perform AHP, Expert Choice software was used by researchers. Results were showed archiving unit has received the largest importance weight with respect to information management. However, on customer aspect admission unit has received the largest weight. Ordering weights of Medical Records Departments’ Alzahra, Kashani and Khorshid Hospitals in Isfahan were with 0.394, 0.342 and 0.264 respectively. It is useful for managers to allocate and prioritize resources according to AHP technique for ranking at the Medical Records Departments.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

References

  1. Ho, W., Integrated analytic hierarchy process and its applications—a literature review. Eur J Oper Res 186(1):211–228, 2008.

    Article  MATH  Google Scholar 

  2. Brignall, S., and Ballantine, J., Performance measurement in service business revisited. Int J Serv Ind Manag 7(1):6–31, 1996.

    Article  Google Scholar 

  3. Neely, A., Gregory, M., and Platts, K., Performance measurement system design: A literature review and research agenda. Int J Oper Prod Manage 15(4):80–116, 1995.

    Article  Google Scholar 

  4. Neely, A., Performance measurement system design: Theory and practice. Int J Oper Prod Manage 15(4):80–116, 1995.

    Article  Google Scholar 

  5. Cooper, R., The rise of activity-based cost systems: Part one—What is an Activity-based Cost System? J Cos Manag No. Summer: 45–54, 1988a

  6. Cooper, R., The rise of activity-based cost systems: Part II—when do I need an activity-based cost system? J Cos Manag No. September-October:41–48, 1988b.

  7. Cooper, R., The rise of activity-based cost systems: Part III—How many cost drivers do you need and how you select them? J Cos Manag Vol. winter:34–46, 1988c.

  8. Cooper, R., The rise of activity-based cost systems: Part IV—What do activity-based cost systems look like? J Cos Manag Vol. Spring:34–46, 1989.

  9. Kaplan, R., Norton, D., The balanced scorecard—measures that drive performance. Harvard Business Review No. January-February:71–79, 1992.

  10. Kaplan, R., and Norton, D., The balanced scorecard–translating strategy into action. Harvard Business School Press, Boston, MA, 1996.

    Google Scholar 

  11. Cross, K. F., and Lynch, R. L., The SMART way to sustain and define success. Natl Prod Rev 8(1):23–33, 1989.

    Article  Google Scholar 

  12. Dixon, J. R., Nanni, A. J., and Vollman, T. E., The new performance challenges: measuring operations for world class competition. Irwin/Apics Series in Production Management, McGraw-Hill Professional Publishing, USA, 1990.

    Google Scholar 

  13. Saaty, T. L., Vargas, L. G., Models, methods, concepts & applications of the analytic hierarchy process. (International Series in Operations Research and Management Science.) Edition: illustrated, Published by Springer, 295 m 2001.

  14. Rangone, A., An analytical hierarchy process framework for comparing the overall performance of manufacturing departments. Int J Oper Prod Manage 16(8):104–119, 1996.

    Article  Google Scholar 

  15. Saaty, T. L., Priority setting in complex problems. IEEE Transaction on Engineering Management 30:140–155, 1983.

    Google Scholar 

  16. Vargas, L. G., An overview of the analytic hierarchy process and its applications. Eur J Oper Res 48(1):2–8, 1990.

    Article  Google Scholar 

  17. Ataei, M., Jamshidi, M., Sereshki, F., and Jalali, S. M. E., Mining method selection by AHP approach. J South Afr Inst Min Metall 108:741–748, 2008.

    Google Scholar 

  18. Saaty, T. L., Decision making for leaders, the analytical hierarchy process for decisions in a complex world. Lifetime Learning Pub, New York, p. 150, 1982.

    Google Scholar 

  19. Neely, A., Borne, M., and Kennerley, M., Performance measurement system design: Development and testing a process-based approach. Int J Oper Prod Manage 20(10):1119–1145, 2000.

    Article  Google Scholar 

  20. Donabedian, A., Basic approaches to assessment: structure, process and outcome. The definition of quality and approaches to its assessment. Health Administration Press 77–128, 1980.

  21. US News and World Report.America’s Best Hospitals. US News and World Report, 51–85 (1990).

  22. Godarzi, S., Concept of standard in health care. Ministry of Health, Development and Promotion center, Net Structure Team, Tehran, Iran, 2002 [Book in Persian].

    Google Scholar 

  23. Sloane, E. B., Liberatore, M. J., Nydick, R. L. Case studies using graphically enhanced computer software to improve MIS and clinical decisions. In Proceeding AMCIS,Association for Information Systems Society, Annual Conference August 4–6, 2003–Orlando, FL, 2003.

  24. Shehata, A., Ajluni, M., Saleh, H. M., Issa, M. E., Amer, N. H., Evaluating numbering, filing, and retrieval systems used in medical records departments of Jordanian Hospitals. The High Institute of Public Health, Alex University, XXIV(4):1009–1023, 1994.

  25. Ahmed, M., Islam, R., Alwahaibi, S. K., Developing quality healthcare software using quality function deployment: a case study based on Sultan Qaboos University Hospital. Malaysia: Int. J. Business Information Systems 1(4):408(2006) Available at: http://mpra.ub.uni-muenchen.de/11345/.

  26. Min, H., Mitra, A., and Oswald, S., Competitive benchmarking of health care quality using the analytic hierarchy process: An example from Korean cancer clinics. Socio-Economic Planning Sciences 31(2):147–159, 1997.

    Article  Google Scholar 

  27. Ahmadi, M., Barabadi, M., Kamkarhaghighi, M., Assessing Hospital Information Systems (HIS) in Medical Records’ Department in 2009. [Thesis in Persian], Faculty of Medical Management & Information Sciences, Uni. Of Iran Medical Sciences, Tehran, Iran (2009).

Download references

Acknowledgement

The results of this work are based on the data collected in brainstorm meetings at Faculty of Medical Management and Information Sciences, Isfahan University of Medical Sciences. We want to thank all the members of the meeting-project. We thank especially master students of educational medical records, academic members of MRD, and all MRD's managers in Alzahra, Kashani and Khorshid Hospitals, for their cooperation.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Sima Ajami.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Ajami, S., Ketabi, S. Performance Evaluation of Medical Records Departments by Analytical Hierarchy Process (AHP) Approach in the Selected Hospitals in Isfahan. J Med Syst 36, 1165–1171 (2012). https://doi.org/10.1007/s10916-010-9578-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10916-010-9578-9

Keywords

Navigation