Course Description
Foundational understanding of quantitative techniques and methodologies used in health services management. Practical health facility and health sector examples and case studies will demonstrate the use of quantitative methods in the health services management area. Topics include using Excel in data analysis, decision modeling, testing of hypotheses, and regression/correlation analysis.
Athena Title
Intro to Quant Analysis
Equivalent Courses
Not open to students with credit in HPAM 7350E
Semester Course Offered
Offered fall
Grading System
A - F (Traditional)
Course Objectives
1. Utilize the financial and statistical capabilities of Excel as they can be applied to decision-making in health service management. 2. Apply measures of central tendencies and dispersions in analyzing problems and in decision-making. 3. Clearly state a research or business hypothesis (null and alternative), then develop investigatory mechanisms for evaluation and recommendation of alternative solutions. 4. Identify and apply basic statistical concepts in the formulation and evaluation of business alternatives. 5. Clearly, concisely, and professionally communicate quantitative information to organizational stakeholders in both written and oral form.
Topical Outline
1. Introduction and Application of Spreadsheets (Excel) in Health Service Management 2. Measures of Central Tendencies and Dispersions (mean, median, mode, standard deviation, etc.) 3. Basics of Establishing and Testing Hypotheses i. Null and Alternative ii. Type I and Type II Errors iii. Sampling iv. Confidence Intervals 4. Introduction to Statistical Concepts i. Statistical Features ii. Probability Distributions iii. Data Modeling and Forecasting iv. Data Governance v. Summary and Visualization of Data 5. Software Tools Commonly Used in Healthcare Quantitative Analyses 6. Regression and Correlation Analysis and Analysis of Covariance for Business Decision-Making
Syllabus
Public CV