ADHA7045 · Advancing Studies
ADV
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.
Course experience
Averages use the original five-point historical evaluation scale.
Organization
4.9 / 5
How well the course was organized
Challenge
4.7 / 5
How intellectually challenging students found it
Attendance
3.6 / 5
How necessary attendance was
Assignments
4.7 / 5
How helpful assignments were
Weekly effort
~7.5
hours per week
Estimated from the original workload response buckets. Individual sections may differ.
Instructor options
Ratings below reflect only recovered evaluations connected to this course.
Across time
Section-level results available in the recovered archive.
Spring 2025
1 sectionFall 2024
1 sectionSummer 2024
1 sectionSpring 2024
1 sectionFall 2023
1 sectionSummer 2023
1 sectionSpring 1 2023
1 sectionMidterm Fall 2022
1 sectionSummer 2022
1 sectionMidterm Spring 2022
1 section2022SPR1
1 sectionMidterm Fall 2021
1 section