Transition To Residency Symposium

The seventh iteration of a symposium that started in late 2017 happened on October 3rd, 2024. The Symposium is always Free to all attendees and was an interactive half-day with a plenary speaker, breakout sessions, poster/oral presentations, and networking opportunities. The 2025 Symposium will occur in the fall of 2025.

Plenary Talk:

FeedBACK for Improving Resident Readiness for GME: State of a National Educational Program

Dr. Lisa Howley (AAMC)

Recap: TTR Symposium 2024

During this session, the novel standardized Resident Readiness Survey (RRS) program will be presented and its implications for TTR Courses will be explored. The RRS enables program directors (PDs) to provide feedback to US MD- and DO-degree granting medical schools about their graduates’ preparedness for graduate medical education (GME) to inform both school-level and national curriculum quality improvement efforts. Now in its fourth year, the RRS was developed by educators from UME and GME and pilot-tested nationally for two years. This growing national RRS dataset includes individual-level data for all eligible PGY-1 residents and is being used to answer an array of questions about resident readiness for GME.

Student Perspectives on the Content of Educational Handovers from Medical School to Residency

Presenter: Dr. Lauren S. Starnes

Identifying Acuity - A Mastery Approach to Skills for Residency

Presenters: Dr. Jenna Fleming and Dr. Zoe Listernick

Congratulations to Susan Anderson, for her accomplishment of receiving the 2024 Coordinator of the Year Award

View 2024 Virtual Posters

Recap: TTR Symposium 2023

Plenary: Transition To AI

Abhi Suri (UCLA)

AI, ChatGPT, LLMs...what do all the acronyms mean, and how can they help with transition-to-residency courses? Join us as we give a lightning overview of artificial intelligence (AI) and the recent explosion in AI-powered chat applications. In this talk, you'll learn about the basics of AI, the history of large language models leading up to ChatGPT, and the application of GPT in medical education course design.