Medical schools can advise students on their likelihood of matching to a particular specialty starting in their first year of medical school. Too often, residency advising happens “after the boards”, when it is too late for students to make meaningful adjustments. With licensing exams changing to pass/no pass, predictive dashboards for student advising are even more critical to student residency match success.
Using student academic performance data and residency match information from previous graduating classes, one client developed a predictive model of the likelihood that a student will match to the residency of their choice. The client then displayed that model as a dashboard in ProgressIQ with an easy to interpret red/yellow/green display per student for each residency type. Students and advisors had instant and secure access to this invaluable information.
Key to the dashboard’s adoption is thoughtful design for intuitive and actionable interpretation. “What was unique about this dashboard is that it acted as both an early warning system for students off track and reassurance for students who were on target to match to their chosen residency specialties,” says Scott Helf of ProgressIQ, who helped architect the dashboard.