Learnly | Advanced

Preparation for competency in the anesthesia clinical sciences

advancedUsing the same unique learning approach of our Foundations curriculum, Learnly | Advanced is a dynamic online anesthesia advanced clinical sciences learning program from the Stanford University AIM Lab. Learnly | Advanced is not a board-prep course. The program is built around the learning preferences of today’s millennial learners and features interactive daily practice accessible anywhere in the world.

Our leading content, learning design and technology teams are busy working on our Advanced curriculum and we plan to make it available for the 2016 enrollment period. Subscribers to Learnly will have an opportunity to test some of our new content as beta testers before our official launch date.

Lead Team

Larry Chu, MD, MS

Associate Professor of Anesthesia
Stanford University School of Medicine

Andrea Traynor, MD

Associate Professor of Anesthesia
University of Colorado

Glenn Gravlee, MD

Professor of Anesthesia
University of Colorado

Janak Chandrasoma, MD

AIM Lab Fellow
Stanford University School of Medicine

About the Stanford AIM Lab

The Stanford Anesthesia Informatics and Media (AIM) lab is a non-profit program based in the Department of Anesthesiology, Perioperative and Pain Medicine at the Stanford University School of Medicine. Since 2009 we've been innovating medical education through learner-centered design and thoughtful use of educational technologies to innovate postgraduate medical education.

About Learnly

Learnly is an anesthesiology learning ecosystem from the non-profit Stanford Anesthesia Informatics and Media (AIM) Lab. Our goal is to provide a comprehensive and integrated model of online anesthesiology education that addresses the unique learning preferences of today's Millennial learners. Each Learnly component can be used individually and as part of a learning system to provide lifelong and comprehensive education in the anesthesiology sciences.
Copyright Stanford Anesthesia Informatics and Media - AIM Lab 2016. All rights reserved.