The Performance Evaluation Mechanism Based on Information Construction for Large Stand-Alone Medical Equipment and Its Support for Decision-Making of Purchasing

  • Qing LU Xuzhou Central Hospital, Xuzhou 221009, P.R. China
Keywords: Information construction; Large medical equipment; Stand-alone equipment; Hospital

Abstract

Abstract

Background: Continuously deeper reform of public hospitals has put forward the need to innovate the philosophy and system of large medical equipment operation and management, and the phenomenon featuring “more attention to purchasing and less attention to management” need to be turned around.

Methods: This research took use of information management to set up ID fields (unique number) for target stand-alone equipment; integrated statistics functions of HIS, PACS, LIS, RIS and equipment management system to get the basic operation data; informationized the work flow and reform technology to set up a post evaluation indictor system for the performance of stand-alone equipment; compared the service condition of newly purchased equipment with the feasibility application of relative department from various dimensions; designed objective post-evaluation indicators from various angles to scientifically manage existing medical equipment and support decision-making of new application for purchasing medical equipment.

Results: Application performance of stand-alone equipment and clinical departments were ranked in a standardized manner. Decision-making mode based on data case of stand-alone equipment was set up. Net present value was evaluated. However, re-purchasing the instrument did not continuously increase the contribution of each instrument. The laboratory can purchase new instruments again, while the imaging department is not recommended to purchase.

Conclusion: The performance evaluation mechanism based on information construction for large stand-alone medical equipment and its support for decision-making of purchasing is of great significance to improve the service life of equipment, exert the maximum effect and reduce economic waste.

 

 

References

1. Gavurová B, Kováč V, Fedačko J (2017). Regional disparities in medical equip-ment distribution in the Slovak Republic - a platform for a health policy regulatory mechanism. Health Econ Rev, 7(1): 39.
2. Stefko R, Gavurova B, Kocisova K (2018). Healthcare efficiency assessment using DEA analysis in the Slovak Republic. Health Econ Rev, 8(1): 6.
3. Flokou A, Aletras V, Niakas D (2017). A window-DEA based efficiency evaluation of the public hospital sector in Greece during the 5-year economic crisis. PLoS One, 12(5): e0177946.
4. Zhang X, Tone K, Lu Y (2018). Impact of the Local Public Hospital Reform on the Efficiency of Medium-Sized Hospitals in Japan: An Improved Slacks-Based Meas-ure Data Envelopment Analysis Ap-proach. Health Serv Res, 53(2): 896-918.
5. Li NN, Wang CH, Ni H, Wang H (2017). Efficiency and Productivity of County-level Public Hospitals Based on the Data Envelopment Analysis Model and Malmquist Index in Anhui, China. Chin Med J (Engl), 130(23): 2836-2843.
6. Wang ML, Fang HQ, Tao HB, et al (2017). Bootstrapping data envelopment analysis of efficiency and productivity of county public hospitals in Eastern, Central, and Western China after the public hospital reform. J Huazhong Univ Sci Technolog Med Sci, 37(5): 681-692.
7. Cheng Z, Cai M, Tao H (2016). Efficiency and productivity measurement of rural township hospitals in China: a boot-strapping data envelopment analysis. BMJ Open, 6(11): e011911.
8. Cheng Z, Tao H, Cai M, et al (2015).Technical efficiency and productiv-ity of Chinese county hospitals: an ex-ploratory study in Henan province, Chi-na. BMJ Open, 5(9): e007267.
9. Jiang S, Min R, Fang PQ (2017). The impact of healthcare reform on the efficiency of public county hospitals in China. BMC Health Serv Res, 17(1): 838.
10. Xu S, Bian C, Wang H, et al (2018). Evalua-tion of the implementation outcomes of the Essential Medicines System in Anhui county-level public hospitals: a before-and-after study. BMC Health Serv Res,15: 403.
11. Guo Z, Guan X, Shi L (2017). The impacts of implementation of National Essential Medicines Policies on primary healthcare institutions: a cross-sectional study in China. BMC Health Serv Res, 17(1): 723.
12. Yang L, Liu C, Ferrier JA, et al (2015). Or-ganizational barriers associated with the implementation of national essential medicines policy: A cross-sectional study of township hospitals in China. Soc Sci Med, 145: 201-208.
13. Giancotti M, Guglielmo A, Mauro M (2017). Efficiency and optimal size of hospitals: Results of a systematic search. PLoS One, 12(3): e0174533.
14. Bahrami MA, Rafiei S, Abedi, et al M (2018). Data envelopment analysis for estimating efficiency of intensive care units: a case study in Iran. Int J Health Care Qual As-sur, 31(4): 276-282.
15. Keay S, McCarthy JP, Carey-Smith BE (2015). Medical equipment libraries: im-plementation, experience and user satis-faction. J Med Eng Technol, 39(6): 354-362.
16. Tani Y, Fujiwara K, Suzuki T, Ogasawara K (2019).[Examination of the Important Factor during Implementation of the Medical Equipment and Hospital Infor-mation System Using the Correlation Analysis]. Nihon Hoshasen Gijutsu Gakkai Zasshi, 75(5): 429-437. [Article in Japanese]
17. Wang S, Cheng S, Zhou X, et al (2019). Construction of medical equipment-based doctor health monitoring system. J Med Syst,43(5): 138.
18. Cao H, Zhang J, Liu Y (2019). [Exploration of Medical Equipment Management Development in Public Hospitals]. Zhongguo Yi Liao Qi Xie Za Zhi, 43(1): 65-68. [Article in Chinese]
19. Hayhurst C (2019). POWERING DOWN Retirement Strategies for Medical Equipment. Biomed Instrum Technol, 53(1): 12-23.
20. Al-Mawali A, Pinto AD, Al-Hinai AT (2018). Medical Equipment and Healthcare Technology: Health Vision 2050. Biomed Instrum Technol,52(6): 442-450.
21. Centers for Medicare & Medicaid Services (CMS), HHS (2018). Medicare Program; End-Stage Renal Disease Prospective Payment System, Payment for Renal Dial-ysis Services Furnished to Individuals With Acute Kidney Injury, End-Stage Re-nal Disease Quality Incentive Program, Durable Medical Equipment, Prosthetics, Orthotics and Supplies (DMEPOS) Competitive Bidding Program (CBP) and Fee Schedule Amounts, and Technical Amendments To Correct Existing Regu-lations Related to the CBP for Certain DMEPOS. Final rule. Fed Regist, 83(220): 56922-7073.
22. Najafi Saleh H, Kavosi A, Pakdel M, et al (2018). Assessment health status of ICU medical equipment levels at Neyshabur hospitals using ICNA and ACC indices. MethodsX, 5: 1364-1372.
23. Cao H, You J, Zheng Y, et al (2018). Practice and Exploration of Regional Medical Equipment Cloud Management Platform Based on the Internet of Things. Zhongguo Yi Liao Qi Xie Za Zhi 42(5): 332-334.
24. Bundgaard K, Sorensen EE, Ripadal K, et al (2019). Challenging the six-hour recom-mendation for reprocessing sterilizable medical equipment. J Hosp Infect, 101(1): 13-19.
25. Ordway A, Pitonyak JS, Johnson KL (2018). Durable medical equipment reuse and recycling: uncovering hidden opportuni-ties for reducing medical waste. Disabil Rehabil Assist Technol: 1-8.
26. Zhang M, Zheng K, Shen Y (2018). [Hospital Networked Medical Equip-ment Safety Management]. Zhongguo Yi Liao Qi Xie Za Zhi, 42(4): 303-304. [Article in Chinese]
27. Centers for Medicare & Medicare Services (CMS), HHS (2018). Medicare Program; Update to the Required Prior Authoriza-tion List of Durable Medical Equipment, Prosthetics, Orthotics, and Supplies (DMEPOS) Items That Require Prior Au-thorization as a Condition of Payment. Update to list. Fed Regist, 83(108): 25947-25949.
28. Centers for Medicare & Medicaid Services (CMS), HHS (2018). Medicare Program; Durable Medical Equipment Fee Sched-ule Adjustments To Resume the Transi-tional 50/50 Blended Rates To Provide Relief in Rural Areas and Non-Contiguous Areas. Interim final rule with comment period. Fed Regist, 83(92): 21912-21925.
Published
2020-01-07
How to Cite
1.
LU Q. The Performance Evaluation Mechanism Based on Information Construction for Large Stand-Alone Medical Equipment and Its Support for Decision-Making of Purchasing. Iran J Public Health. 49(1):37-45.
Section
Original Article(s)