Analysis of gastrointestinal endoscopy failure components based on analytic hierarchy process and maintenance data_West China Medical Journal

Authors：

 WANG Shoujing ¹ , LIAO Xianzhen ² , WANG Mengting ¹ , GONG Min ¹ , XIE Yanyuan ¹ , XU Zhong ¹

1. Medical Engineering Division, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, P. R. China;
2. Department of Cardiology, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, P. R. China;

Corresponding?author：

WANG Shoujing, Email: wshjldq@126.com

Keywords：

Gastrointestinal endoscopy; Analytic hierarchy process; Failure components; Maintenance data

DOI：

10.7507/1002-0179.201905185

Video：

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Abstract Full text Figures/Tables Video References Cited by

Objective To explore the main failure components related to maintenance cost and downtime of gastrointestinal endoscopy.Methods The analytic hierarchy process (AHP) was used to process and analyze the maintenance data of gastrointestinal endoscopy in West China Hospital of Sichuan University from January 2010 to April 2019.Results The results involved 110 gastrointestinal endoscopy, 322 major repairs, 364 minor repairs, and a total of 1 651 failed components, in which the top three components were buttons (380 pieces, 23.02%), the insertion tubes (223 pieces, 13.51%), and lenses (179 pieces, 10.84%). The main failure components causing high maintenance cost and long downtime of major repairs were charge coupled devices (F=849.702, P<0.001; F=9.525, P=0.002) and light guides (F=8.190, P=0.005; F=6.384, P=0.012). The failure components affecting the maintenance cost of minor repair were lenses (F=25.464, P<0.001) and angle steel wires (F=5.652, P=0.018). The failure components prolonging the maintenance time of minor repair were lenses (F=10.384, P=0.001) and electrical interfaces (F=4.816, P=0.029).Conclusion Quantitative analysis of maintenance data is helpful to objectively analyze the main failure components of maintenance cost and downtime.

Citation： WANG Shoujing, LIAO Xianzhen, WANG Mengting, GONG Min, XIE Yanyuan, XU Zhong. Analysis of gastrointestinal endoscopy failure components based on analytic hierarchy process and maintenance data. West China Medical Journal, 2019, 34(6): 625-631. doi: 10.7507/1002-0179.201905185 Copy

1.	王成, 錢英. 醫療設備原理與臨床應用. 北京: 人民衛生出版社, 2017: 569.
2.	易航, 胡兵. 早期食管癌及癌前病變的內鏡診治研究進展. 華西醫學, 2014, 29(3): 572-577.
3.	王夢婷, 代勇, 劉麒麟. 可靠性維修理論在醫用軟性內窺鏡維修決策中的應用. 中國醫療設備, 2018, 33(7): 150-153.
4.	朱奇, 馬辰祥, 劉佳佳, 等. 新疆某三甲醫院消化內鏡質量控制管理模式的探索及其效果評價. 中國醫療設備, 2017, 32(6): 152-155.
5.	黃錦康. 醫用內窺鏡系統的組成與常見故障維修工作研究. 中國保健營養, 2019, 29(3): 393.
6.	謝靜, 陳敏, 羅薛峰. 軟式內鏡消毒液過氧乙酸和戊二醛消毒效果對比Meta分析. 華西醫學, 2018, 33(3): 302-306.
7.	廖媛, 馬久紅. 自動內鏡清洗消毒機對內鏡再處理的相關感染性分析. 中國消毒學雜志, 2018, 35(12): 940-942.
8.	劉明秀. 內鏡全程追溯系統在內鏡中心清洗消毒質量管理中的應用. 中國醫療設備, 2018, 33(11): 178-180.
9.	Bourigault C, Le Gallou F, Bodet N, et al. Duodenoscopy: an amplifier of cross-transmission during a carbapenemase-producing Enterobacteriaceae outbreak in a gastroenterology pathway. J Hosp Infect, 2018, 99(4): 422-426.
10.	項漢銀. 乙烯裝置重要機泵以可靠性為中心的維修策略. 流體機械, 2009, 37(5): 35-38, 86.
11.	Pillay A, Wang J. Modified failure mode and effects analysis using approximate reasoning. Reliab Eng Syst Safe, 2003, 79(1): 69-85.
12.	夏婷, 李庚, 李岳飛, 等. 醫用內窺鏡的故障模式影響及危害性分析. 國際生物醫學工程雜志, 2018, 41(1): 90-96.
13.	陳云, 陳慕蓉, 王上東. 根本原因分析法在降低軟式電子內窺鏡故障率中的應用. 中國醫療設備, 2017, 32(10): 97-99.
14.	Daley DT. Reliability assessment: a guide to aligning expectations, practices and performance. New York: Industrial Press Inc., 2012.
15.	Mbah R. Using reliability growth testing to reveal systematic faults in safety-instrumented systems. Trondheim: Norwegian University of Science and Technology, 2014.
16.	Mkalaf KA, Gibson P, Flanagan J. A study of current maintenance strategies and the reliability of medical equipment in hospitals in relation to patient outcomes. Int J Soc Hum Sci Eng, 2013, 7(10): 77-84.
17.	Wang J, Li C, Han S, et al. Predictive maintenance based on event-log analysis: a case study. IBM J Res Dev, 2017, 61(1): 121-132.
18.	Wang BS. A medical device collective risk management model for health care organizations and postmarket oversight. J Clin Eng, 2017, 42(1): 28-35.
19.	Endrenyi J, Aboresheid S, Allan R, et al. The present status of maintenance strategies and the impact of maintenance on reliability. IEEE T Power Syst, 2001, 16(4): 638-646.
20.	Taghipour S, Banjevic D, Jardine AK. Reliability analysis of maintenance data for medical devices. Qual Reliab Eng Int, 2011, 27(1): 71-84.

1. 王成, 錢英. 醫療設備原理與臨床應用. 北京: 人民衛生出版社, 2017: 569.
2. 易航, 胡兵. 早期食管癌及癌前病變的內鏡診治研究進展. 華西醫學, 2014, 29(3): 572-577.
3. 王夢婷, 代勇, 劉麒麟. 可靠性維修理論在醫用軟性內窺鏡維修決策中的應用. 中國醫療設備, 2018, 33(7): 150-153.
4. 朱奇, 馬辰祥, 劉佳佳, 等. 新疆某三甲醫院消化內鏡質量控制管理模式的探索及其效果評價. 中國醫療設備, 2017, 32(6): 152-155.
5. 黃錦康. 醫用內窺鏡系統的組成與常見故障維修工作研究. 中國保健營養, 2019, 29(3): 393.
6. 謝靜, 陳敏, 羅薛峰. 軟式內鏡消毒液過氧乙酸和戊二醛消毒效果對比Meta分析. 華西醫學, 2018, 33(3): 302-306.
7. 廖媛, 馬久紅. 自動內鏡清洗消毒機對內鏡再處理的相關感染性分析. 中國消毒學雜志, 2018, 35(12): 940-942.
8. 劉明秀. 內鏡全程追溯系統在內鏡中心清洗消毒質量管理中的應用. 中國醫療設備, 2018, 33(11): 178-180.
9. Bourigault C, Le Gallou F, Bodet N, et al. Duodenoscopy: an amplifier of cross-transmission during a carbapenemase-producing Enterobacteriaceae outbreak in a gastroenterology pathway. J Hosp Infect, 2018, 99(4): 422-426.
10. 項漢銀. 乙烯裝置重要機泵以可靠性為中心的維修策略. 流體機械, 2009, 37(5): 35-38, 86.
11. Pillay A, Wang J. Modified failure mode and effects analysis using approximate reasoning. Reliab Eng Syst Safe, 2003, 79(1): 69-85.
12. 夏婷, 李庚, 李岳飛, 等. 醫用內窺鏡的故障模式影響及危害性分析. 國際生物醫學工程雜志, 2018, 41(1): 90-96.
13. 陳云, 陳慕蓉, 王上東. 根本原因分析法在降低軟式電子內窺鏡故障率中的應用. 中國醫療設備, 2017, 32(10): 97-99.
14. Daley DT. Reliability assessment: a guide to aligning expectations, practices and performance. New York: Industrial Press Inc., 2012.
15. Mbah R. Using reliability growth testing to reveal systematic faults in safety-instrumented systems. Trondheim: Norwegian University of Science and Technology, 2014.
16. Mkalaf KA, Gibson P, Flanagan J. A study of current maintenance strategies and the reliability of medical equipment in hospitals in relation to patient outcomes. Int J Soc Hum Sci Eng, 2013, 7(10): 77-84.
17. Wang J, Li C, Han S, et al. Predictive maintenance based on event-log analysis: a case study. IBM J Res Dev, 2017, 61(1): 121-132.
18. Wang BS. A medical device collective risk management model for health care organizations and postmarket oversight. J Clin Eng, 2017, 42(1): 28-35.
19. Endrenyi J, Aboresheid S, Allan R, et al. The present status of maintenance strategies and the impact of maintenance on reliability. IEEE T Power Syst, 2001, 16(4): 638-646.
20. Taghipour S, Banjevic D, Jardine AK. Reliability analysis of maintenance data for medical devices. Qual Reliab Eng Int, 2011, 27(1): 71-84.

West China Medical Journal

Analysis of gastrointestinal endoscopy failure components based on analytic hierarchy process and maintenance data

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