From Data to Decisions: Health and Healthcare Analytics

In todays highly competitive healthcare environment, data-driven decision making is key to assuring quality, increasing access, and minimizing cost. In an industry focused on evidence-based practices, healthcare managers must be able to use analytic tools and methods to critically evaluate care and practice to better inform decisions. Tomorrows leaders must be able to make decisions based on research, evidence, and data to inform continuous improvement and innovation. The course will review data analysis principles and statistical analysis (e.g., probability, regression modeling, decision science, predictive forecasting, and time series analysis. Students will conduct data analyses and use results to make decisions. Students will focus on how to analyze and interpret data to optimize the decision-making process and assure evidence-based management practice.

Averages use numerical 1–5 ratings, including the ratings submitted with new anonymous reviews.

OrganizationHow well the course was organized

4.92 / 5

ChallengeHow intellectually challenging students found it

4.66 / 5

AttendanceHow necessary attendance was

3.65 / 5

AssignmentsHow helpful assignments were

4.69 / 5