Data Mining for Healthcare Analytics
The proliferation of data in the post-EHR era creates opportunities for large-scale data analysis to discover meaningful patterns and trends. Explore the application of data mining techniques for purposes of big data analytics using administrative and clinical systems data. Topics include an overview of the data mining process, data mining standards and output protocols, and common techniques used in mining healthcare data. Also covered are visual representation methods that increase understanding of complex data.
This is not a self-paced course. Students will progress through the course together. Lessons will be posted one week at a time. The previous week's lesson will remain available for the duration of the course. Students who enroll after the start date of the course will have to contact the instructor regarding missed lessons. This class will conduct one-mandatory synchronous Adobe Connect session towards the end of the course, please plan accordingly.
This class will conduct one-mandatory synchronous Adobe Connect session towards the end of the course, please plan accordingly.
Section Course Materials
193HCA204 Course Reader
Don't Let Health Care Bankrupt America: Strategies for Financial Survival
Section Notes
Course begins January 15 and ends March 25. This class will conduct one mandatory Saturday synchronous video session toward the end of the course, so please plan accordingly.
Enrollment Policies
Click here to view complete enrollment policy information including details on withdrawals and transfers.
Prerequisites
Candidates for the certificate are expected to have prior professional experience in a healthcare setting and familiarity with statistics.