Alismail Abdullah, Tabisula Braden Michael, López David
Department of Cardiopulmonary Sciences, School of Allied Health Professions, Loma Linda University, Loma Linda, CA, USA.
Department of Medicine, School of Medicine, Loma Linda University, Loma Linda, CA, USA.
Adv Med Educ Pract. 2021 May 26;12:539-546. doi: 10.2147/AMEP.S312734. eCollection 2021.
In clinical education, there is a need for constant evaluation, assessment, and at times immediate feedback for students to recognize areas of success, learning, and areas for improvement. The clinical educator is expected to manage the number of student evaluations and assess their performance, regularly, as needed, and over time. This allows appropriate and timely formative, as well as summative feedback to students and the program. Clinical programs face challenges in finding innovative and efficient methods to track and manage this large volume of seemingly disparate needed and required data. Traditional solutions entail paper-based systems or a paid proprietary clinical tracking system. However, both of these options have their own unique challenges. This perspective article proposes an innovative approach of collecting data electronically via online forms, processing and storing data in cloud-based databases and providing appropriate visualizations for the end users (i.e., students and educators) to analyze and assess the information. Migrating data to be collected in this manner allows for the integration of business intelligence (BI) techniques that provide data mining and machine learning in various user needed methods. This article presents a perspective and an innovative guide for clinical educators on how to develop and design a system that leads to positive sentiments and immediate student feedback regarding their progress to improve student outcomes.
在临床教育中，需要持续进行评估、评价，有时还需要即时反馈，以便学生认识到自己的成功之处、学习情况以及有待改进的方面。临床教育工作者需要管理学生评估的数量，并定期根据需要随时评估他们的表现。这样才能向学生和项目提供恰当及时的形成性反馈以及总结性反馈。临床项目在寻找创新且高效的方法来跟踪和管理大量看似分散的所需和要求的数据方面面临挑战。传统的解决方案包括纸质系统或付费的专有临床跟踪系统。然而，这两种选择都有其独特的挑战。这篇观点文章提出了一种创新方法，即通过在线表格以电子方式收集数据，在基于云的数据库中处理和存储数据，并为最终用户（即学生和教育工作者）提供适当的可视化工具，以便他们分析和评估信息。以这种方式迁移要收集的数据，可以集成商业智能（BI）技术，以各种用户所需的方法提供数据挖掘和机器学习。本文为临床教育工作者提供了一个视角和创新指南，介绍如何开发和设计一个系统，从而产生积极的情绪，并让学生就自己的进步立即给出反馈，以改善学生的学习成果。
