This course instructs students on using statistical software to analyze data for quality, utilization and risk management. Other topics include study of the institutional review board process, national guidelines regarding research, techniques for data reporting and analyzing descriptive and vital statistics.
MTH101
Wicker, Zada and Browning, J. Burton (2021). Visualizing Health Care Statistics: A Data-Mining Approach, 2nd ed, Burlington, MA: Jones and Bartlett Learning. ISBN: 9781284197525.
This course will focus on the following AHIMA competencies:
Upon completion of this course, students will be able to:
Specified on the course schedule/outline
Letter Grade |
Range |
Definition |
A |
90-100 |
Excellent |
B |
80-89 |
Above
Average |
C |
70-79 |
Average |
D |
60-69 |
Below
Average |
F |
0-59 |
Failing |
W |
|
Withdrawal
during weeks 1 - 7 |
WF |
|
Withdrawal
failing after week 7 |
NF |
|
Failing
Not actively engaged |
For more details about the Grading System, please see the current catalog.
Students must be actively engaged in the course. For a definition of active engagement, please see the current catalog.
Cheating and plagiarism are serious offenses against the Universitys academic integrity and are consequently strictly prohibited. All students must familiarize themselves with the University policy on Academic Integrity.
Penalties for cheating and plagiarism are described in the University policy on Academic Integrity in the catalog. They include failure of the assignment, failure for the course, or dismissal from the University. For the complete Cheating/Plagiarism policy, please see the current catalog.
Students who have disabilities that may impact their performance in this course should follow the process described under the heading Accommodations for the Disabled in the current catalog.
None
All courses in the HIM Program have a ten-day assignment cycle. Each weeks
work is made available Friday at 5 p.m. and remains available for ten days. The
weekly assignments and discussions are due on the Sunday night of the week
following the week they were made available, ten days later. For example, if
the weekly assignments are made available at 5 p.m. on Friday, January 8, the
completed assignments are due at 11:55 p.m., on Sunday, January 17.
Note these two exceptions: Week 1 when the week's work is open from the first
day of the quarter at 8 a.m. to Sunday at 11:55 p.m. and the last week when the
final exam is available from Monday at 8 a.m. until Thursday at 11:55 p.m. All
times listed are EST/EDT.
This course requires a minimum of 70% (C) or higher for successful completion.
Assignments |
Due |
Week 1: Introduction to Healthcare Statistics |
|
Readings
|
Sunday |
Discussions
|
Initial
post due Wednesday |
Assignments Assignment 1.1 - Basic Healthcare Statistics Concepts - Chapter
1 Homework |
Sunday |
Week 2: Central Tendency, Variance, and Variability |
|
Readings
|
Sunday |
Discussions
|
Initial
post due Wednesday |
Assignments
|
Sunday |
Week 3: Mathematical Review |
|
Readings
|
Sunday |
Discussions
|
Initial
post due Wednesday |
Assignments
|
Sunday |
Week 4: Occupancy and Utilization Data |
|
Readings
|
Sunday |
Discussions
|
Initial
post due Wednesday |
Assignments Assignment 4.1 - Occupancy
and Utilization Stats -Chapter 4 Homework |
Sunday |
Midterm Project
|
Sunday, Week 5 |
Week 5: Morbidity and Mortality Data |
|
Readings
|
Sunday |
Discussions
|
Initial
post due Wednesday |
Assignments
|
Sunday |
Midterm Project - Excel Data Analysis |
Sunday |
Week 6: Autopsy Data |
|
Readings
|
Sunday |
Discussions
|
Initial
post due Wednesday |
Assignments
|
Sunday |
Week 7: Infection, Consultation, and Other Data |
|
Readings
|
Sunday |
Discussions
|
Initial
post due Wednesday |
Assignments
|
Sunday |
Final Project
|
Thursday, Week 11 |
Week 8: Health Information Management Statistics |
|
Readings
|
Sunday |
Discussions
|
Initial
post due Wednesday |
Assignments
|
Sunday |
Final Project
|
Thursday, Week 11 |
Week 9: Research Methodology and Ethics/Data Collection and Reporting Methods |
|
Readings
|
Sunday |
Discussions
|
Initial
post due Wednesday |
Assignments
|
Sunday |
Final Project
|
Thursday, Week 11 |
Week 10: The Future of Healthcare Statistics |
|
Readings
|
Sunday |
Discussions
|
Initial
post due Wednesday |
Assignments
|
Sunday |
Final Project
|
Thursday, Week 11 |
Week 11: Finals |
|
Discussions
|
Initial
post due Wednesday |
Final Project - MS-DRG LOS Analysis Presentation |
Thursday |
Assessment
of Outcomes
Assignment |
Weight |
Discussions |
20% |
Assignments |
40% |
Midterm Project |
20% |
Final Project |
20% |
Total |
100% |
Date of last review: November, 2020