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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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

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1. 中国医疗器械行业协会. 医用内窥镜市场发展浅析. 中国医疗器械信息, 2013, 19(2): 72-73.
2. 陈婧婧, 蔡天智. 2014年我国内窥镜产业发展分析. 中国医疗器械信息, 2015, 21(10): 16-21.
3. 王晓峰. 关于X公司内窥镜集中再生产运营管理的研究. 上海: 复旦大学, 2008.
4. 徐梓添, 李斌, 汪黎君, 等. 2011年度上海地区内窥镜设备主流厂商售后服务满意度调查报告. 医疗卫生装备, 2013, 34(5): 104-105, 110.
5. 王梦婷, 代勇, 刘麒麟. 可靠性维修理论在医用软性内窥镜维修决策中的应用. 中国医疗设备, 2018, 33(7): 150-153.
6. 周方, 邱晓力, 方定, 等. 国产硬性内窥镜在基层医院的应用与评价. 中国医疗设备, 2016, 31(1): 86-88.
7. 方礼逵, 闾夏轶, 曾理平, 等. 医用内窥镜临床效果评价指标体系的构建. 中国医疗器械信息, 2019, 25(5): 13-17.
8. 储呈晨, 毕帆, 李斌, 等. 立体定向放疗设备服务体系评价的探讨. 中国医疗设备, 2018, 33(8): 141-143, 152.
9. 徐含青. 基层医院国产全自动生化分析仪的多中心现状调研与性能评价研究. 重庆: 第三军医大学, 2016.
10. 顾华. 重大疾病医联体关键因素与运营管理模式研究. 北京: 北京交通大学, 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. 杨谨蜚. 商品售后服务评价标准和服务认证. 中国标准化, 2015(3): 97-101.
14. 韩文智, 骆文亮. Android平台的移动APP开发方法与应用研究. 四川理工学院学报(自然科学版), 2015, 28(3): 22-26.
15. 焦文华. 基于Android的移动互联网应用的研究和实现. 北京: 北京邮电大学, 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. 朱美宁, 李晨菁, 巩妮. 基于地理区划的中国七大区近十年来FDI地域结构特征. 经济研究导刊, 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. 胡正阳. BS公司制药设备(中国)售后服务体系优化研究. 杭州: 浙江工业大学, 2017.
22. 侯飙. 气象数据质量控制与监控系统的研究与设计. 哈尔滨: 哈尔滨工程大学, 2017.
23. 谭新政, 褚俊. 商品售后服务管理与评价研究报告. 商品与质量, 2012(41): 8-32.

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