Common Course Outline

Course discipline/number/title HIMC 2710: Healthcare Data Analysis

Catalog Description

Credits 3
Hours/Week 4 (2 lecture, 2 lab)
Prerequisites (Course discipline/number) AOP 2350
Other requirements College level reading and writing
MnTC Goals (if any) NA

Course Description

This course is a study of collecting, analyzing, interpreting, and presenting numerical data relating to health care services. The electronic patient record requires the health information management professional to apply computer software using spreadsheet, database, and presentational software to convey healthcare information to stakeholders.

Date Last Revised (Month, year)

December, 2025

Outline of Major Content Areas

  1. Descriptive Statistics
  2. Frequency distribution
  3. Measures of central tendency
  4. Measures of variation
  5. Range
  6. Variance
  7. Standard deviation
  8. Inferential Statistics
  9. Standard error of the mean
  10. Confidence intervals
  11. Null hypothesis
  12. ANOVA
  13. Chi-square
  14. Mathematics review
  15. Rounding
  16. Percentage
  17. Ratio
  18. Averages
  19. Presentation of Data
  20. Data Analytics
  21. Types of data analytics
  22. Patient Census
  23. Percentage of Occupancy
  24. Length of Stay
  25. Death (Mortality) Rates
  26. Hospital Autopsies and Autopsy Rates
  27. Morbidity Rates
  28. Health Information Statistics
  29. Budgets
  30. Operational budget
  31. Capital budget

Learning Outcomes (General)

The student will be able to:

  1. Apply policies and procedures to ensure the accuracy and integrity of health data.
  2. Collect and maintain health data.
  3. Apply graphical tools for data presentations.
  4. Explain analytics and decision support.
  5. Apply report generation technologies to facilitate decision-making.
  6. Utilize basic descriptive, institutional, and healthcare statistics.
  7. Analyze data to identify trends.
  8. Apply policies and procedures to ensure the accuracy and integrity of health data both internal and external to the health system.
  9. Utilize data for facility-wide outcomes reporting for quality management and performance improvement.
  10. Plan budgets,
  11. Explain accounting methodologies.
  12. Explain budget variances.

Learning Outcomes (MnTC)

NA

Methods for Evaluation of Student Learning

Methods may include but are not limited to:

RCTC Core Outcome(s)

This course contributes to meeting the following RCTC Core Outcome(s):

Communication
Students will communicate appropriately for their respective audiences.

Special Information (if any)

None