Clinical and Transitional Research Informatics

2 credits · Graduate School

Informatics underpins every aspect of modern clinical and translational science. Good clinical and translational data management can have as much of an effect on the successful conduct of research as a sound statistical analysis plan or a well written clinical protocol. Additionally, recent advances in data sharing and cloud computing resources have increased the availability of large data for discovery, hypothesis generation, and generalization of research results. In this survey course, students will learn about the design principles and applications of informatics tools for every step for clinical research process, including regulatory submission, recruitment, consent, data collection, privacy protection, data cleaning, and data sharing. They will gain hands-on experience in using these tools and the All-of-us Researcher Workbench with class assignments and projects. Students must have basic proficiency in R or Python. FALL [2] Cheng