探究基于微服务架构的云端随时练平台在提升参加住院医师规范化培训（简称住培）的临床医师的临床操作技能及学习效率的实际效果。

基于医院住培模式，采用微服务架构研发云端随时练平台，整合评分表管理、多模态技能内容管理、移动端学习训练、视频作业提交与点评等功能。选取新疆维吾尔自治区人民医院30名2024级社会化住培医师为研究对象，住培医师通过平台进行碎片化学习、模拟训练及视频作业提交，指导教师远程点评与评估。采用t检验比较培训前后住培医师在头颈部检查、心脏检查、胸部检查、腹部检查4项考核（每项满分100分）的成绩差异，并通过问卷调查评估住培医师和指导教师对平台的认可度。

培训结果表明，培训后住培医师的4项考核成绩均显著高于培训前，头颈部检查成绩从（68.53±6.25）分提升至（84.45±2.91）分，心脏检查从（59.93±7.86）分提升至（77.46±5.04）分，胸部检查从（70.73±5.15）分提升至（85.78±3.10）分，腹部检查从（69.30±5.85）分提升至（81.58±4.74）分，临床操作技能平均分提升10分以上，差异均具有统计学意义（t=-12.65、-10.29、-13.71、-8.94，P均<0.001）。问卷调查显示，住培医师对平台便捷性、实用性评价较高，指导教师亦高度认可该平台的教学价值。

云端随时练平台能有效打破时空限制，通过个性化学习路径、模拟训练及实时反馈，显著提升新疆维吾尔自治区住培医师的临床技能与考核成绩，得到师生广泛认可，可作为优化当地住培体系、缓解医疗资源分配不均的有效工具。

To investigate the real-world effectiveness of the microservice-based "Cloud Anytime Practice" platform in improving the clinical procedural skills and learning efficiency of standardized residents.

Aligned with the hospital’s standardized training model, we developed the Cloud Anytime Practice platform using a microservice architecture that integrates rubric management, multimodal skill-content management, mobile learning and practice, and video-assignment submission with remote feedback. Thirty 2024-cohort socialized residents from the People’s Hospital of Xinjiang Uygur Autonomous Region were randomly recruited. They used the platform for fragmented learning, simulation training, and video-assignment submission, while instructors provided remote comments and assessments. Pre- and post-training scores (0–100) were compared for four stations—head-and-neck, cardiac, chest, and abdominal examinations by t-test. A questionnaire gauged user acceptance.

Post-training scores for all four stations rose significantly (t=-12.65, -10.29, -13.71, -8.94, all P<0.001), head-and-neck examination improved from 68.53±6.25 to 84.45±2.91; cardiac examination from 59.93±7.86 to 77.46±5.04; chest examination from 70.73±5.15 to 85.78±3.10; and abdominal examination from 69.30±5.85 to 81.58±4.74. Mean clinical skill scores increased by more than 10 points. Survey results showed high resident ratings for the platform’s convenience and practicality, and instructors strongly endorsed its educational value.

The Cloud Anytime Practice platform effectively transcends time and location constraints. Through personalized learning paths, simulation training, and real-time feedback, it significantly enhances the clinical skills and assessment results of residents in Xinjiang, earning broad recognition from both learners and faculty. It represents a viable tool for optimizing local standardized training programs and mitigating uneven distribution of medical education resources.