After the excitement of Match Day settles, the reality of starting intern year can feel overwhelming. Many trainees begin to worry whether they’re truly prepared for the responsibilities ahead.
In this webinar, presenters will share an approach to an Intern Tools series, tailored annually to the specific needs of each incoming class. Using data from a pre-matriculation Individualized Learner Plan, we gain insight into their priorities and build targeted sessions that meet them where they are. You’ll learn how we engage residents in teaching and curriculum development, foster early connections between interns and residents, and create a program that supports learners from the start. We’ll walk through our process, share real-world examples, and offer practical tools to help you build or enhance your own early intern education program.
Presented by:Joseph Omlor , MDYasmina Hachem, MDPeter Ceglowski, MD
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Presented by AAIM President Polly E. Parsons, MD and AAIM Chief Executive Officer Erica J. Holland
Preregistration is not required; an Outlook invite will be sent to all APDIM PA members on Feb. 9, 2026.
Performance dashboards are increasingly used by residency clinical competency committees (CCC) to aggregate, track, and visualize learner metrics. While qualitative data are often visualized on these dashboards, narrative feedback is not easily aggregated and summarized. The analysis and presentation of these qualitative data is typically done by individual faculty and program coordinators, which makes it prone to bias and consumes valuable residency administrator and faculty time and effort. As a finite resource, any time that can be saved can be reallocated to other creative and essential residency missions.
In this webinar, the presenters will demonstrate how the newest versions of generative AI can be used to analyze relevant information from clinical evaluations to create various reports that support the process of individual resident reporting including performance on core competencies and/or milestones. Program director and administrator faculty will discuss how AI-driven data analysis and interpretation led to increased efficiency for common residency tasks and targeted some sources of bias as well as highlight potential limitations and lessons learned. Presenters will explore the various types of narrative data commonly used for CCC evaluations that AI can tackle and demonstrate how to best query AI to analyze and summarize it.
Presented by:Danielle Jones, MDReena Hemrajani, MDMeghan Lane, MD
Recordings of DEI webinars are available at the link below (members must log-in to view).
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