为全民研究员工作台提供社区教育资源的经验

IF 4.7 2区医学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Journal of the American Medical Informatics Association Pub Date : 2024-09-12 DOI:10.1093/jamia/ocae226

Deborah I Ritter, Jinyoung Byun, Jun Wang, Stephen Richards, Pamela N Luna, LaTerrica Williams, Julie R Coleman, Jasmine N Baker, Shamika Ketkar, Ashley M Butler, Latanya Hammonds-Odie, Elizabeth G Atkinson, Kim C Worley, Debra D Murray, Brendan Lee, Steven E Scherer

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引用次数: 0

摘要

目标填补生物信息学知识空白的教育课程是提高 "我们所有人 "研究计划健康数据访问和使用率的关键组成部分。我们开发了一个以 "培训培训师"（Train the Trainer）为基础的创新培训系列，其中包括基于项目的学习、模块化的按需演示以及非结构化的辅导时间，以此作为 "我们所有人 "社区的教育参与模式。材料与方法我们重点介绍了我们的培训模块和内容，并通过培训调查数据为开发 6 个模块的模块化示范系列培训提供信息。结果我们根据调查反馈对 "培训培训师"（Tx3）系列进行了两次公开迭代，同时培训了 300 多名注册研究人员在 "我们所有人 "研究人员工作台上访问和分析数据。讨论与结论 Tx3 系列的未来发展方向包括进一步关注基于项目的学习以及学习者对模块化和异步材料访问的要求。

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Experiences in providing a community educational resource for the All of Us Researcher Workbench

Objective Educational offerings to fill the bioinformatics knowledge gap are a key component to enhancing access and use of health data from the All of Us Research Program. We developed a Train the Trainer-based, innovative training series including project-based learning, modular on-demand demonstrations, and unstructured tutorial time as a model for educational engagement in the All of Us community. Materials and Methods We highlight our training modules and content, with training survey data informing cycles of development in the creation of a 6-module training series with modular demonstrations. Results We have conducted 2 public iterations of the Train the Trainer (Tx3) Series based on survey feedback while training over 300 registered researchers to access and analyze data on the All of Us Researcher Workbench. Discussion and Conclusion Future directions of the Tx3 Series include enhanced focus on project-based learning and learner requests for modularity and asynchronous materials access.

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来源期刊

Journal of the American Medical Informatics Association 医学-计算机：跨学科应用

CiteScore

14.50

自引率

7.80%

发文量

230

审稿时长

3-8 weeks

期刊介绍： JAMIA is AMIA''s premier peer-reviewed journal for biomedical and health informatics. Covering the full spectrum of activities in the field, JAMIA includes informatics articles in the areas of clinical care, clinical research, translational science, implementation science, imaging, education, consumer health, public health, and policy. JAMIA''s articles describe innovative informatics research and systems that help to advance biomedical science and to promote health. Case reports, perspectives and reviews also help readers stay connected with the most important informatics developments in implementation, policy and education.