Skip to main content

The Informatics Summit brings together researchers, academicians and innovative thinkers blending complementary thematic tracks in translational bioinformatics, clinical researcher informatics and data science.

The Informatics Summit attracts more than 600 clinical and translational investigators, bioinformaticians, health data scientists, computational biologists, genomics researchers, public health geneticists, clinical and public health informaticians, and policy professionals focused on the research enterprise. The Informatics Summit is also a premier opportunity for students pursuing a masters and PhD track to present research, network with peers and volunteer for leadership and scientific review.

Upcoming Summit

card image

March 13-16, 2023

Seattle, WA

Experience the full range of cutting-edge work in translational informatics and clinical data science from inception to implementation. The Informatics Summit is the ideal setting for researchers, educators, data scientists, software developers and analysts, students, and industry professionals.

 

Past Summits

card image

March 21-24, 2022

Chicago, IL

From discovering innovative methods to learning from exciting real-world applications, AMIA 2022 Informatics Summit attendees will experience the full range of cutting-edge work in translational informatics and clinical data science from inception to implementation.
card image

March 22-25, 2021

Virtual

AMIA assembled the most content ever obtained from an Informatics Summit for continuing professional development and learning. Scientific and education content featured at the AMIA 2021 Virtual Informatics Summit is now available as one comprehensive Digital Collection.
card image

March 23-26, 2020

Virtual

The AMIA 2020 Virtual Informatics Summit was an online meeting designed in place of the original live meeting scheduled in Houston. The program included four plenary sessions and 12 sessions representative of the four tracks: Bioinformatics, Clinical Research, Implementation, Data Science.