Evaluation of the medical endoscopy service in “multi-center hospitals”_West China Medical Journal

Authors：

ZHENG Jun , CHEN Siyao , LI Jun , LOU Ligang , SUN Jing ,  FENG Jingyi

Clinical Engineering Department, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310000, P. R. China;

Corresponding?author：

FENG Jingyi, Email: casper_feng@163.com

Keywords：

Medical endoscopy; Service evaluation; Multicenter

DOI：

10.7507/1002-0179.201905149

Video：

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Abstract Full text Figures/Tables Video References Cited by

Objective To formulate a medical endoscopy service evaluation system, so as to guide the hospitals to select products, provide advices for manufacturers to improve the service, and finally improve the overall service capacity of medical endoscopy industry. Methods The whole study was conducted from January to December 2018. Firstly, Delphi method was used to establish the evaluation indexes, which helped to get the evaluation scenario. Secondly, the evaluation mechanism was established through the association of three central hospitals with their medical treatment partnerships and collaborative hospitals. Thirdly, the popular medical endoscopy brands in China were evaluated for a long time by means of information technology. Results Finally, more than 80% of the provinces of China were covered by the medical endoscopy services evaluation, and 51 hospitals participated in the evaluation. At the end of 2018, 1 450 valid data were collected, of which the annual average abnormal data was less than 5%. With the score ranking, the highest score was 4.45, the lowest score was 3.27, and the average score was 3.85. The preliminary evaluation results were sent to medical endoscopy manufacturers. Conclusions The " multi-center hospital” medical endoscopy service evaluation system established in this study has the characteristics that the indexes are scientific, and the evaluation is comprehensive and wide-coverage. It provides a feasible and effective solution for medical endoscopy service evaluation and plays an important role in improving the whole medical endoscopy service level and brand value.

Citation： ZHENG Jun, CHEN Siyao, LI Jun, LOU Ligang, SUN Jing, FENG Jingyi. Evaluation of the medical endoscopy service in “multi-center hospitals”. West China Medical Journal, 2019, 34(6): 612-617. doi: 10.7507/1002-0179.201905149 Copy

1.	中國醫療器械行業協會. 醫用內窺鏡市場發展淺析. 中國醫療器械信息, 2013, 19(2): 72-73.
2.	陳婧婧, 蔡天智. 2014年我國內窺鏡產業發展分析. 中國醫療器械信息, 2015, 21(10): 16-21.
3.	王曉峰. 關于X公司內窺鏡集中再生產運營管理的研究. 上海: 復旦大學, 2008.
4.	徐梓添, 李斌, 汪黎君, 等. 2011年度上海地區內窺鏡設備主流廠商售后服務滿意度調查報告. 醫療衛生裝備, 2013, 34(5): 104-105, 110.
5.	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.
6.	周方, 邱曉力, 方定, 等. 國產硬性內窺鏡在基層醫院的應用與評價. 中國醫療設備, 2016, 31(1): 86-88.
7.	方禮逵, 閭夏軼, 曾理平, 等. 醫用內窺鏡臨床效果評價指標體系的構建. 中國醫療器械信息, 2019, 25(5): 13-17.
8.	儲呈晨, 畢帆, 李斌, 等. 立體定向放療設備服務體系評價的探討. 中國醫療設備, 2018, 33(8): 141-143, 152.
9.	徐含青. 基層醫院國產全自動生化分析儀的多中心現狀調研與性能評價研究. 重慶: 第三軍醫大學, 2016.
10.	顧華. 重大疾病醫聯體關鍵因素與運營管理模式研究. 北京: 北京交通大學, 2017.
11.	Ghazali Z, Lim MRT, Jamak ABAS. Maintenance performance improvement analysis using Fuzzy Delphi method. J Qual Maint Eng, 2019, 25(1): 162-180.
12.	Wu Q, Huang LH, Xing MY, et al. Establishing nursing-sensitive quality indicators for the operating room: a cross-sectional Delphi survey conducted in China. Aust Crit Care, 2017, 30(1): 44-52.
13.	楊謹蜚. 商品售后服務評價標準和服務認證. 中國標準化, 2015(3): 97-101.
14.	韓文智, 駱文亮. Android平臺的移動APP開發方法與應用研究. 四川理工學院學報(自然科學版), 2015, 28(3): 22-26.
15.	焦文華. 基于Android的移動互聯網應用的研究和實現. 北京: 北京郵電大學, 2013.
16.	Talbot J, Mclean J. Learning Android application programming: a hands-on guide to building Android applications. Amsterdam: Addison-Wesley Longman, 2014: 13-18.
17.	Yang Q, Hu CZ, Zheng NG. Data-driven diagnosis of nonlinearly mixed mechanical faults in wind turbine gearbox. IEEE Internet Things J, 2018, 5(1): 466-467.
18.	Dai JH, Hu H, Hu QH, et al. Locally linear approximation approach for incomplete data. IEEE Trans Cybern, 2018, 48(6): 1720-1732.
19.	朱美寧, 李晨菁, 鞏妮. 基于地理區劃的中國七大區近十年來FDI地域結構特征. 經濟研究導刊, 2017(23): 81-83.
20.	Cheng YJ, Jun P, Gu X, et al. An intelligent supplier evaluation model based on data-driven support vector regression in global supply chain. Comput Ind Eng, 2019. https://doi.org/ 10.1016/j.cie.2019.04.047.
21.	胡正陽. BS公司制藥設備(中國)售后服務體系優化研究. 杭州: 浙江工業大學, 2017.
22.	侯飆. 氣象數據質量控制與監控系統的研究與設計. 哈爾濱: 哈爾濱工程大學, 2017.
23.	譚新政, 褚俊. 商品售后服務管理與評價研究報告. 商品與質量, 2012(41): 8-32.

1. 中國醫療器械行業協會. 醫用內窺鏡市場發展淺析. 中國醫療器械信息, 2013, 19(2): 72-73.
2. 陳婧婧, 蔡天智. 2014年我國內窺鏡產業發展分析. 中國醫療器械信息, 2015, 21(10): 16-21.
3. 王曉峰. 關于X公司內窺鏡集中再生產運營管理的研究. 上海: 復旦大學, 2008.
4. 徐梓添, 李斌, 汪黎君, 等. 2011年度上海地區內窺鏡設備主流廠商售后服務滿意度調查報告. 醫療衛生裝備, 2013, 34(5): 104-105, 110.
5. 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.
6. 周方, 邱曉力, 方定, 等. 國產硬性內窺鏡在基層醫院的應用與評價. 中國醫療設備, 2016, 31(1): 86-88.
7. 方禮逵, 閭夏軼, 曾理平, 等. 醫用內窺鏡臨床效果評價指標體系的構建. 中國醫療器械信息, 2019, 25(5): 13-17.
8. 儲呈晨, 畢帆, 李斌, 等. 立體定向放療設備服務體系評價的探討. 中國醫療設備, 2018, 33(8): 141-143, 152.
9. 徐含青. 基層醫院國產全自動生化分析儀的多中心現狀調研與性能評價研究. 重慶: 第三軍醫大學, 2016.
10. 顧華. 重大疾病醫聯體關鍵因素與運營管理模式研究. 北京: 北京交通大學, 2017.
11. Ghazali Z, Lim MRT, Jamak ABAS. Maintenance performance improvement analysis using Fuzzy Delphi method. J Qual Maint Eng, 2019, 25(1): 162-180.
12. Wu Q, Huang LH, Xing MY, et al. Establishing nursing-sensitive quality indicators for the operating room: a cross-sectional Delphi survey conducted in China. Aust Crit Care, 2017, 30(1): 44-52.
13. 楊謹蜚. 商品售后服務評價標準和服務認證. 中國標準化, 2015(3): 97-101.
14. 韓文智, 駱文亮. Android平臺的移動APP開發方法與應用研究. 四川理工學院學報(自然科學版), 2015, 28(3): 22-26.
15. 焦文華. 基于Android的移動互聯網應用的研究和實現. 北京: 北京郵電大學, 2013.
16. Talbot J, Mclean J. Learning Android application programming: a hands-on guide to building Android applications. Amsterdam: Addison-Wesley Longman, 2014: 13-18.
17. Yang Q, Hu CZ, Zheng NG. Data-driven diagnosis of nonlinearly mixed mechanical faults in wind turbine gearbox. IEEE Internet Things J, 2018, 5(1): 466-467.
18. Dai JH, Hu H, Hu QH, et al. Locally linear approximation approach for incomplete data. IEEE Trans Cybern, 2018, 48(6): 1720-1732.
19. 朱美寧, 李晨菁, 鞏妮. 基于地理區劃的中國七大區近十年來FDI地域結構特征. 經濟研究導刊, 2017(23): 81-83.
20. Cheng YJ, Jun P, Gu X, et al. An intelligent supplier evaluation model based on data-driven support vector regression in global supply chain. Comput Ind Eng, 2019. https://doi.org/ 10.1016/j.cie.2019.04.047.
21. 胡正陽. BS公司制藥設備(中國)售后服務體系優化研究. 杭州: 浙江工業大學, 2017.
22. 侯飆. 氣象數據質量控制與監控系統的研究與設計. 哈爾濱: 哈爾濱工程大學, 2017.
23. 譚新政, 褚俊. 商品售后服務管理與評價研究報告. 商品與質量, 2012(41): 8-32.

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