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On Demand

AMIA 10x10 with Oregon Health & Science University

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Type
AMIA 10x10
Credits
46.50
CME
Introduction to Biomedical and Health Informatics The Department of Medical Informatics & Clinical Epidemiology (DMICE) at Oregon Health & Science University will be offering another Biomedical Informatics Distance Learning Course as part of the AMIA 10x10 Program. The goal of this course is to provide a detailed overview of biomedical [...]
Live Virtual

Webinar with Triomics

Type
Webinar
Mark your calendar! More details coming soon. Past Triomics webinars have included informatics leaders in academia and industry presenting to hundreds of AMIA community members on how to best leverage generative AI to improve care operations and research. Register now to ensure you have a spot.
Live Virtual

JAMIA Journal Club Webinar - October 2024

Type
Webinar
Credits
1.00
CME
1.00
CNE
KG-LIME: predicting individualized risk of adverse drug events for multiple sclerosis disease-modifying therapy Authors: Jason Patterson, Nicholas Tatonetti Read the Abstract Statement of Purpose Coming soon Learning Outcomes Coming soon Format 35-minute presentation by article author(s) considering salient features of the published study and its potential impact on practice 25-minute [...]

Members Only

Live Virtual

FAMIA Leadership Lounge: Live with Jesse Ehrenfeld, MD, MPH, FAMIA

Type
Webinar
Join the Fellows of AMIA for the premiere of the FAMIA Leadership Lounge: Live! a webinar series featuring FAMIA leaders in a fireside-chat style discussion. The first session features Jesse Ehrenfeld, MD, MPH, FAMIA, 178th president of the American Medical Association
Live Virtual

The Good, the Bad, and the Ugly of Real-World AI Use

Type
Webinar
Join researchers from RTI International for an insightful webinar exploring the transformative impact of AI in healthcare, informatics, and the research community. We'll kick off with a brief overview of AI's role in the sector, highlighting its integration with Clinical Decision Support (CDS) systems, applying AI in Large-scale EHR Data [...]