Avoiding Data Paralysis: Making the AAMC's Graduate Questionnaire Work for You

May 22, 2018 8:00 AM – 9:15 AM

Robert Reaves, Wayne State Unviersity School of Medicine
Kanye Gardner, Wayne State Unviersity School of Medicine
Robert Dace-smith, Wayne State Unviersity School of Medicine
Jason Booza, Wayne State Unviersity School of Medicine

Medical schools are data rich environments. Not only do they routinely collect information on their operations (e.g., course and faculty evaluations) and student outcomes (exam scores, STEP 1 scores, match rates, graduate rates) but also have access to national level data from the Association of American Medical Colleges (AAMC) including the Graduate Questionnaire (GQ). The GQ is widely used in many medical schools as part of program evaluation, benchmarking and accreditation. A challenge for any data rich environment is to make the most efficient use of data while avoid data paralysis, which is a condition in which the overwhelming amount of data can hamper decision making. In order to overcome the paralysis, organizations must make efficient and effective use of its data. Through the use data analysis techniques, this can easily be achieved. The purpose of this presentation is to demonstrate two innovative data analysis strategies used at Wayne State University School of Medicine (WSUSOM) for avoiding data paralysis and promoting decision making. These approaches do two things. First, they less the burden and confusion on the end user through clear presentation of data. Second, they help prioritize areas of improvement through visualization. The overall result, has lead to both increased improvement initiatives and outcomes at WSUSOM.