HS 256F — Healthcare Data Analytics and Data Mining

Meets for one-half semester and yields half-course credit.

Explores concepts, techniques and applications of data mining to make better sense of “big data” in healthcare. Healthcare payers, providers, and government agencies around the globe have expanded their investments in all sorts of healthcare data including insurance claims, EHR, registries, surveillance, patient surveys, and other datasets so that the healthcare industry has already entered the club of “big data” providers. However the famous quote by Rutherford D. Rogers applies to healthcare big data as well that “we are drowning in information and starving for knowledge.” Making sense of big-data is becoming an essential skill in governing health systems. Usually offered every year.
Moaven Razavi