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基于微信小程序的医疗设备在线培训系统设计与实现 被引量:10

Design and implementation of medical equipment online training system based on wechat applet
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摘要 目的设计一款医疗设备在线培训系统,实现临床医护人员的在线培训与考核。方法基于微信小程序开发工具及Bmob后端云,使用JavaScript、WXML等语言开发培训系统。系统分为用户管理、在线学习和在线答题三大功能模块。将该培训系统在临床科室及实验室推广使用,统计培训系统访问次数及人均使用时间。结果该系统实现了医疗设备原理、操作、维护等知识的在线学习、在线答题等功能。在试运行的4个多月里,累计访问次数已达5 000余次。以2021年3月为例,日均访问人数近10人次,人均使用时间近400 s。在周末时段,程序的使用人次和使用时间均较工作日多。结论基于微信小程序的医疗设备在线培训系统不仅可以让用户利用生活中零碎的时间碎片化学习,也方便了医疗设备管理部门对医护人员进行培训与考核。 Objective To design an online training system for medical equipment, and to realize online training and assessment of clinical medical staff.Methods Based on WeChat applet development tool and Bmob back-end cloud, the training system is developed using JavaScript, WXML and other programming languages.The online training system is composed of user management, online learning and online test.The training system is promoted and used in clinical departments and laboratories.The number of visits to the training system and the average time of per capita are collected.Results The system realizes the functions of online learning and online test for the principles, operations and maintenance of medical equipment.After a four-month of use, the cumulative number of visits has reached more than 5000.Take March 2021 as an example, the average number of visits is nearly 10 per day, and the average usage time is almost 400 seconds per capita.Conclusions The medical equipment online training system based on WeChat applet not only allows the users to use their spare time for fragmented learning, but also greatly facilitates the medical equipment management department of clinical users’ training and assessment of medical equipment.
作者 查晓俊 杨玉志 成刚 徐志扬 徐燕 ZHA Xiaojun;YANG Yuzhi;CHENG Gang;XU Zhiyang;XU Yan(Nanjing Drum Tower Hospital,the Affiliated Hospital of Nanjing University Medical School,Nanjing 210008)
出处 《北京生物医学工程》 2022年第1期79-83,89,共6页 Beijing Biomedical Engineering
基金 江苏省医院协会医院管理创新研究(JSYGY-3-2019-39)资助。
关键词 微信小程序 在线培训系统 在线学习 在线答题 碎片化学习 WeChat mini program online training system online learning online examination fragmented learning
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