Course Number & Title
HAP 725: Statistical Process Improvement
This course is taught by Farrokh Alemi, PhD. and includes input from a number
of different instructors. If you wish to meet with Alemi person, check his
availability in the attached calendar. Text before you show.
Students focus on using data from electronic health records to improve health care. Students acquire a variety of knowledge and skills that prepare them to
contribute to health care providers’ quality management efforts including: How to assess patient’s multi-morbidity risks, conduct risk-adjusted statistical
process control analyses, and analysis of systemic failures contributing to adverse outcomes. Student learn about trends influencing the quality management
system and the drivers for change, including measures used by CMS (including satisfaction, never-pay events, etc.) to strengthen value based payment.
At the conclusion of the course participants should be able to:
- Understand the drivers for improvement in health care quality, safety and value
- Integrate health data analytics and quality management methods in health care settings
- Articulate how use of data supports the management and delivery of health care services
- Merge data from multiple tables within electronic health records
- Utilize CMS and AHRQs quality metrics using data from electronic health records to analyze health care provider performance and safety; including
(including Patient Safety Events and Indicators)
- Analyze process outcomes using risk-adjusted statistical process control charts
- Evaluate competing causes of outcomes and prepare causal control charts
- Communicate analytical findings using narrated storyboards and data visualization. Plan efforts to assess patients' satisfaction or health status.
- This course uses an open textbook. Required reading are posted to the course web pages,
no purchase is necessary.
- Recommended readings are posted under the section titled "More" within each lecture. An excellent introduction to statistics is provided through "Open
Introduction to Statistics." Free Download►
To benefit from this course you need to have the following:
- Both clinicians and managers are encouraged to enroll.
- A bachelor or higher degree from an accredited University. The course is limited to graduate students.
- Familiarity with the US health care system. All examples are from the US health care system.
- A concurrent or previous introduction to concepts in quality improvement is helpful
- Following software are needed:
- Computer, modem, microphone, speaker, phone line and Internet connection. A fast computer and modem will save considerable time in this course.
A stand alone microphone (that rests on the head) is needed.
- A frame-based browser is needed.
- Working knowledge of Microsoft Excel is needed. If you do not have
experience with use of Excel, please take free introductory courses
available on the web.
- Microsoft Power Point is needed for viewing some portions of reading and lectures.
- Flash reader is needed.
There are five assignments in the course that are used to evaluate student's
- Weekly Assignment: Each week, you are asked to analyze
data. Correct answers are typically posted to the web. Each week of delay
in submitting a correct assignment is associated with 10% reduction in
- Class Participation: We subscribe to the principle of "Learn one, do one, teach one." The best way to learn is
to teach the topic. At start of the course, you select a topic in the
course to teach. A week prior to the due date, you submit all
assignments in the topic to the instructor. On due date, you
email to all students in the class a You Tube video showing how to solve
Missing any of the deadlines on this assignment will lead to 10%
reduction in your grade for each week of delay.
- Midterm and Final Exam: The final exam is a comprehensive, open book,
timed, take home
exam that focuses on statistical process control tools.
The assignments in the course are graded as follows:
Distribution of the grade
|Letter grades correspond to
following numerical grades
Take home exams
Teach one assignment
- Learn one, do one, teach one. Students learn better when they do
projects and teach the concepts covered in the lectures.
- Use technology. This course actively uses technology to help
improve interaction among the students and the faculty. Class attendance is
The following table shows dates of various lectures. Teach One
assignment is due prior to lecture date. Assignments are due a
week after the lecture date.
Final exam is timed online open-book exam.
It must be completed in maximum of 4 hours and available during class time in
the final exam week.
This is an open environment course. Faculty and students from other
universities are welcomed to use this course. Do not assume that comments
and questions you see are from your classmates. Do not enter names in the
comments you leave. For more information send email to
Farrokh Alemi, Ph.D.
If you are a student with a disability and you need academic accommodations,
please contact the instructor. We are committed to comply with the Rehabilitation Act
of 1973 and the Americans with Disabilities Act of 1990 by providing reasonable
accommodations for disabled students.