Conference Presentation: Destination: Patient Outcomes – Our Journey to Improving Patient Care

Your Activity Improved Outcomes, But Do You Know Why? How to Use Predictive Modeling to Maximize Educational Impact

Monday, January 22
11:00 AM - 12:00 PM
Location: Mediterranean 1

Physician Credits: 1.0

Nursing CE Credits: 1.0

Pharmacy Credits: 1.0

ACPE UAN: 0809-9999-18-071-L04-P (Knowledge)

CHCP Exam Designation: CHCP Professional Exam

Session Description
In medical education, we frequently ask whether or not an activity was successful, that is, whether it improved outcomes. But rarely do we ask why. Factors such as learner demographics, activity format, therapeutic area, question wording, knowledge, and confidence can influence responses to behavior questions or other endpoints. Being able to answer the “why” related to educational outcomes success is an important component of developing activities that ensure best practices are being implemented, resulting in improved patient outcomes.

The medical education industry is starting to appreciate the value in predictive modeling, but many providers may not feel they have the skills to perform predictive modeling or don’t realize the software is readily available. Statistical analysis is typically best accomplished by a knowledgeable statistician using software specifically designed for statistics (e.g., SAS, SPSS). However, with caution and a consideration for the assumptions of various methods, basic statistical procedures can be conducted by non-experts who have some degree of statistical knowledge, and using software such as Excel or online calculators.

Learning Lab Methodology
This learning lab will provide an overview of predictive modeling and provide an example of how to conduct regression using Excel as well as a few vetted online calculators. Participants will be encouraged to participate in discussions as well as follow along on their laptops.

It is not the intention of this presentation to provide a full understanding of the mathematics and statistical theory behind predictive modeling, rather a basic overview.

Learning Objectives:

Jamie Reiter

Director, Educational Outcomes
CME Outfitters, LLC
Bethesda, Maryland

Jamie Reiter, PhD, is Director of Educational Outcomes at CME Outfitters. She earned her PhD from the Department of Cognitive Sciences at UC Irvine, with an emphasis on data analysis and developing mathematical models for analyzing neuropsychological data in patients with dementia. That experience has resulted in a motivation for utilizing more novel, yet impactful, statistical and mathematical approaches to data analysis. Prior to CME Outfitters, Dr. Reiter was Director of Biostatistics and Research at CME LLC. While there, she recognized the need to emphasize the importance of statistical rigor in the medical education industry and made it her mission to educate providers by presenting at industry meetings. Over her career, she has developed and taught biostatistics courses for UC San Diego Extension; served as statistical, medical writing, and scientific consultant for academic and research institutions, medical education providers, medical societies, and contract research organizations; and worked in academia and the pharmaceutical industry. Her current goal at CME Outfitters is to optimize outcomes by utilizing sound data analysis and educational design methods.


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Your Activity Improved Outcomes, But Do You Know Why? How to Use Predictive Modeling to Maximize Educational Impact

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Send Email for Your Activity Improved Outcomes, But Do You Know Why? How to Use Predictive Modeling to Maximize Educational Impact