In response to the education and teaching reform, West China School of Medicine/West China Hospital, Sichuan University, initiated a general course on clinical engineering technology assessment and evaluation for the undergraduates in 2018. Through the course practice in the past two years, the number of students increased significantly, and we also achieved certain teaching achievements. At the same time, the teaching evaluation among undergraduates was excellent. Nevertheless, there are still certain deficiencies in the content of teaching, teaching methods and faculty. Therefore, this article summarizes the experience and lessons since the start of the course, and proposes corresponding teaching reform measures, providing reference for the establishment or reform of related interdisciplinary courses such as clinical engineering technology assessment and evaluation in the future.
ObjectiveTo explore the main failure components related to maintenance cost and downtime of gastrointestinal endoscopy.MethodsThe 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.ResultsThe 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).ConclusionQuantitative analysis of maintenance data is helpful to objectively analyze the main failure components of maintenance cost and downtime.