HIT 510 - Data Management for Healthcare Decision Support

Units: 2

Studies the application of analytical methods to healthcare data for decision support. Methods include the conventional tools of statistics such as descriptive measures, graphs, regression, and forecasting. Other techniques presented include “data mining” and simulation. Applications include developing evidence-based practices, identifying unnecessary/inappropriate/overused treatments/procedures/drugs; identifying gaps in care; projecting health care needs; estimating costs. Concepts of “experimental design” such as controlled vs. observational studies, randomization, double blind, and regression to the mean will be introduced. Outside speakers will be used to present actual applications. Enrollment restricted to students who have obtained consent of instructor. Enrollment Requirements: Enrollment Requirement: Admission to the HIT Certificate Program.