3.0

credits

Average Course Rating

Introduces core concepts of relational databases using Structured Querying Language (SQL) along with terminologies related to clinical databases used in health information systems. Utilizes the Precision Medicine Analytics Platform with access to de-identified medical records of 70K patients with Diabetes with over 100 million data elements, including las, medications, encounters procedures, symptoms, and vitals. Focuses on answering clinical and research questions and discussion around effective data governance. Analyzes 3-yers of data to look for clinical and population-level management strategies for type 1 and type 2 diabetes. Includes analysis of a thorough data quality evaluation framework as well as identifying predictors for hospitalization and rehospitalization.