Department of Health Care Administration
Statistical
Analysis in Health Care Organizations Instructor:
Dr. Edward J. Schumacher, Ph.D.
HCAI 5221 Phone: (210) 999-8137
Fall
2009 Syllabus
Cell:
(210) 383-1428
Web Page: www.trinity.edu/eschumac E-mail: eschumac@trinity.edu
Office:
Chapman 402
This course covers topics in the basic applications of operations research techniques to health care planning, control, and decision making including deterministic and random models, mathematical programming, queuing, simulation, forecasting and quality improvement. Emphasis is placed on model formulation and computer solution of decision models.
HCAD Competency Model
|
Competencies
Covered in 5221 |
Level |
How
addressed |
How
assessed |
|
Quality Improvement / Performance Improvement. Be able to understand and apply principles and techniques for performance monitoring and improvement |
1 |
Lecture/Discussion |
Problem Set |
|
Quantitative Skills Business decision making and performance improvement |
1 |
Lecture/discussion, Independent Project |
Problem Sets |
|
Multivariate analysis |
2 |
Independent Project |
Class presentation and Report |
Level: 1 = Knowledge 2 = Application 3 = Integration
· Understand the role of statistics in quality improvement using statistical process control techniques
· To be able to design and construct a control chart and utilize it in the decision making process
· Understand the basic models of forecasting
Your course grade will be determined from problems sets and participation. The following weights will be used:
Two Problem Sets 25 Percent each
Class Participation 5 Percent
Project Presentation 15 Percent
Independent Project Final Report 30 Percent
A ten-point scale will be used to determine your final letter grade.
The independent project will involve the application of regression and other statistical analyses to a project of your choice relating to the health care field. The goal is to predict and estimate the relationship between a dependent variable and at least two independent variables. A separate handout describing the project will be distributed.
When submitting problem sets, note the following:
1) Problem sets should be done in Microsoft Excel and e-mailed to eschumac@trinity.edu.
2) The problem sets must be completed in a timely manner. Unless prior arrangements are made, late problems will be penalized 10 percentage points each day they are late.
3) Show all work; answers are not sufficient.
Text:
McLaughlin, Daniel and Julie M. Hays. Healthcare Operations Management. Health Administration Press, Chicago; AUPHA Press, Washington DC. 2008.
Additional Resources
Levine, David M., David Stephan, Timothy C. Krehbiel, and Mark L. Berenson. Statistics for Managers Using Microsoft Excel, 5th edition, Prentice Hall, Upper Saddle River, New Jersey, 2005
Ozcan, Yasar A. Quantitative Methods in Health Care Management, Techniques and Applications. 2nd edition. Jossey-Bass, San Francisco, CA. 2009.
Carey, Raymond G. Improving Healthcare with Control Charts, Basic and Advanced SPC Methods and Case Studies. ASQ Quality Press, Milwaukee, Wisconsin. 2003.
The class schedule given below indicates the dates and materials to be covered. The reading material should be prepared before the class meets. Minor adjustments to the class schedule may be necessary.
|
Day |
Reading Assignment |
Topic |
|
Saturday 10/24 10:00-11:45am
|
Posted Notes McLaughlin and Hays Ch 8-9 |
Statistical Process Control and Six Sigma
|
|
Saturday 11/14 8:00-9:45am
|
Posted Notes McLaughlin and Hays Ch 11-13 |
Forecasting, Staffing and Productivity
|
|
Saturday 12/5 10:00-11:45am
|
|
Project Presentations
|
|
Assignment |
Due Date |
|
Problem Set 1 |
Monday, November 9th |
|
Problem Set 2 |
Monday, November 30th |
|
Final Report |
Friday, December 11th |