Health Data Challenges. 3 credits

Catalog description

Covers methodology and tools used to work with health data structures supporting organizations' needs for reliable data that are captured, stored, processed, integrated, and prepared for further querying, decision making, data mining and knowledge discovery for a variety of clinical and organizational purposes. Data security and privacy, data standards, data interoperability, health information exchange, and big data analytics are discussed. Tools like R and R Studio are used to work with data sets at a statistical level, analyze, visualize and predict outcomes. Offered by Info Sciences & Technology . Limited to two attempts. Equivalent to BENG 322 .