Mary Ann Shifflet, Assistant Professor, Romain College of Business, University of Southern Indiana
Jane Oppenlander, Assistant Professor, Clarkson University
This presentation was voted one of the three finalists for Best Poster.
Quality improvement techniques have been successfully applied in some industries for many years. However, the use of these techniques in health care improvement is relatively new. Finding examples and rich datasets for teaching health care quality improvement tends to be more challenging than in most other areas. This presentation addresses some of these challenges including lack of real data for case studies, case study content and associated technical terminology, and the privacy issues surrounding health care data. While there are many challenges in using case studies to teach these concepts, interactive JMP analyses and visualizations facilitate the problem-solving process. Authentic, easy to use, health care quality improvement case studies will better prepare students to enter the health care workforce. Several case studies are presented that utilize JMP software to teach the most common techniques in quality improvement and illustrate how we can overcome the hurdles.
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Eric Stephens, Manager of Population Health Analytics, Vanderbilt University Medical Center
Mary Ann Shifflet, PhD, Assistant Professor, Romain College of Business, University of Southern Indiana
Amy Cohen, PhD, Director of Educational Technology, Harvard School of Public Health
Shirley Shmerling, PhD, Senior Lecturer of Operations and Information Management, Isenberg School of Management, University of Massachusetts
Susan Madden, Associate Director, Case-Based Teaching and Learning Initiative, Harvard School of Public Health
Jane Oppenlander, PhD, Professor, Clarkson University
Reducing length of stay (LOS) is a key clinical and operational priority for any hospital, as the longer a patient stays, the greater the likelihood that he or she will experience an adverse event such as a fall or an acquired infection, and the fewer the beds available to serve new patients who also need care. In this presentation, we illustrate how various exploratory and modeling techniques in JMP can be used to identify the primary factors associated with extended LOS for a cohort of diabetes patients, as well as how the results of the analysis can be communicated to two distinct audiences – physicians and administrators – to help drive improvement efforts from both perspectives. We will demonstrate Dashboard Builder and interactive HTML as vehicles for delivering insights to end users, as well as for providing them with a starting point for further self-service analysis.
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