Jun 18, 2024
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# HITT 1107 - Introduction to Applied Healthcare Statistics

Credit Hours: 4.00

Prerequisites: Admission into the Health Information Technology Program; HHSC 1700 HHSC 1740 , and ITCS 1010  all with grade C or better

Corequisites: HITT 1102  and HITT 1106

(formerly HITT 1105)

This course introduces students to the general principles of healthcare statistics as related to the delivery of healthcare.  Students will explore basic statistical principles and calculations as applied in the healthcare environment including procedures for collection, reporting, and displaying vital statistics. Students will be exposed to basic research principles and inferential statistics used for healthcare decision making with an emphasis on validity and reliability of data.

Billable Contact Hours: 4

When Offered: Fall semester only

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OUTCOMES AND OBJECTIVES
Outcome 1:  Upon completion of this course, students will be able to perform the necessary basic mathematics when generating healthcare statistics.

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.

COMMON DEGREE OUTCOMES (CDO)
• 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.
CDO marked YES apply to this course:
Communication: YES
Critical Thinking: YES
Information Literacy: YES
Quantitative Reasoning: YES
Scientific Literacy: YES

COURSE CONTENT OUTLINE
First 8 Weeks:

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

Primary Faculty
Dunsmore, Kristin
Secondary Faculty
McMillen, Lisa
Associate Dean
Primeau, Paula
Dean
Mirijanian, Narine

Primary Syllabus - Macomb Community College, 14500 E 12 Mile Road, Warren, MI 48088

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