HITT 1107 - Introduction to Applied Healthcare Statistics

Credit Hours: 4.00

Objectives:       

1. Compute basic mathematical measures of rounding, percentages, ratios, rates, and proportions.
2. Determine proper methods to convert fractions, decimals, and percentages.

Outcome 2:  Upon completion of this course, students will be able to summarize data sets using appropriate statistical methods.

Objectives:

1. Develop a skilled understanding of descriptive statistics, including measures of central tendency, variation, and percentiles.
2. Interpret the shape, center, spread, and skewness of distributions of data.

Outcome 3:  Upon completion of this course, students will be able to create appropriate displays of statistical information for data analysis.

Objectives:

1. Differentiate between different types of data (categorical or numerical).
2. Create and interpret frequency tables, bar graphs, pie charts, line graphs, histograms, frequency polygons, and scatter diagrams (Excel).
3. Determine appropriate graphical displays.
4. Use common software technology to capture data and report findings.
5. Use common software applications for making presentation of data.

Outcome 4:  Upon completion of this course, students will be able to make healthcare related decisions based upon inferential statistics obtained through research.

Objectives:

1. Differentiate between the basic types of research.
2. Determine the necessary steps in the research process, including using the appropriate type of sampling method for unbiased data and formulating a hypothesis.
3. Interpret common inferential statistics used with healthcare data.
4. Identify basic research principles. .

Outcome 5: Upon completion of this course, students will be able to perform statistical research.

Objectives:

1. Collect, calculate, and interpret numerical data used in the preparation of healthcare statistics.
2. Differentiate and compare the sources and uses of indices, databases, and registries.
3. Present statistical data using graphs, bar charts, and other various data display methods.
4. Discuss the role and responsibility of the health information professional in collecting, maintaining, analyzing, and interpreting healthcare data.

• Communication: The graduate can communicate effectively for the intended purpose and audience.
• Critical Thinking: The graduate can make informed decisions after analyzing information or evidence related to the issue.
• Global Literacy: The graduate can analyze human behavior or experiences through cultural, social, political, or economic perspectives.
• Information Literacy: The graduate can responsibly use information gathered from a variety of formats in order to complete a task.
• Quantitative Reasoning: The graduate can apply quantitative methods or evidence to solve problems or make judgments.
• Scientific Literacy: The graduate can produce or interpret scientific information presented in a variety of formats.

1. Statistical Terminology
2. Mathematical Review
3. Data Presentation
4. Descriptive Statistics
5. Frequency Distribution
6. Measures of Central Tendency and Variation
7. Basic Research Principles

Second 8 Weeks:

1. Patient Census
2. Inpatient Bed Occupancy
3. Length of Stay/Discharge Days
4. Hospital Mortality Rates
5. Autopsy Rates
6. Morbidity & Miscellaneous Rates
7. Health Information Department Statistics