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Measuring Speed and Accuracy with New Radiology Blended Learning Tools

Sandra Boesch (DukeNUS Graduate Medical School, Singapore)
Session Information
July 8, 2015 - 10:10am
Teaching & Learning Effectiveness
Major Emphasis of Presentation: 
Innovation and Experimentation
Institutional Level: 
Universities and Four Year Institutions
Audience Level: 
Session Type: 
Information Session
Governor's Square 10
Session Duration: 
50 Minutes
Concurrent Session 5

Increased measurement of speed and accuracy in reading radiology cases by moving from traditional radiology studies towards the use of more real-world radiology tools.

Extended Abstract

In our research, we have moved from the traditional use of radiology pictures (x-rays and catscans) coupled with multiple choice questions towards the use of more real-world radiology tools to train and assess medical students in a blended learning environment. Moving towards richer online tools has enabled us to provide students with the ability to explore and read cases in a more interactive manner. We have also moved towards having students code radiology images in much the same way that practicing radiologists do rather than having students select from a list of possible results which might provide hints to the students on what to look for in each image. This is important since many radiology reading are very routine and many conditions only show up rarely but must be identified and reported when present. By using more real-world tools and real-world methods of analyzing and reporting on radiology images and by capturing the speed and accuracy of students during practice and assessment, we are able to provide better formative feedback to students and able to better prepare them for live class sessions. During live class sessions, instructors who have a better understanding of the experience and skills of the radiology students, are able to teach and assess with more interesting radiology images (cases) in classes enabling them to achieve better learning outcomes and achieve a better understanding of which students have best mastered the desired skills.

Lead Presenter

Sandra Boesch, PhD is the Education Technologist at Duke-NUS Graduate Medical School and co-creator of SingPath.com. Sandra has helped thousands around the world to practice software languages by launching an online tutoring platform to provide real-time, personalized feedback. Sandra has led and co-leads various courses in and around Asia ranging from introductory programming courses to large-scale enterprise integration. At Duke NUS, Sandra reviews and adopts any technology that will facilitate, personalized education. Sandra earned a Bachelor degree in Communications from The University of Alabama at Birmingham, an MBA from Mary-Hardin Baylor, and a PhD in Information Systems from Nova Southeastern University.