Lewis Denice Colleen, Pluye Pierre, Rodriguez Charo, Grad Roland
University of Ottawa, Canada.
McGill University, Canada.
J Innov Health Inform. 2016 Apr 6;23(1):834. doi: 10.14236/jhi.v23i1.834.
A mixed methods research (sequential explanatory design) studied the potential of mining the data from the consumers of continuing medical education (CME) programs, for the developers of CME programs. The quantitative data generated by family physicians, through applying the information assessment method to CME content, was presented to key informants from the CME planning community through a qualitative description study.The data were revealed to have many potential applications including supporting the creation of CME content, CME program planning and personal learning portfolios.
一项混合方法研究(序列解释性设计)探讨了为继续医学教育(CME)项目开发者挖掘CME项目消费者数据的潜力。家庭医生通过将信息评估方法应用于CME内容生成的定量数据,通过定性描述研究呈现给CME规划社区的关键信息提供者。结果显示这些数据有许多潜在应用,包括支持CME内容创建、CME项目规划和个人学习档案袋。