The clinical case library is a repository of cases able to teach analytics and data science to healthcare students using a case-based approach. Our cases accomplish this by keeping the focus on how healthcare and analytics can complement each other.
Our hope is that these resources will help future healthcare professionals become more data-literate, analytically-minded, and be better equipped to navigate a future healthcare system that focuses on quality and performance instead of volume.
Our cases are written in the Jupyter Notebook environment in both R and Python. All cases are hosted on Github and publicly available to view.
Meet The Team