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AMIA 10x10 with University of Utah

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Type
AMIA 10x10
Clinical Decision Support This contribution from the University of Utah to the AMIA 10x10 program is an in-depth course about Clinical Decision Support (CDS) tools, standards, and implementation. The course is designed and taught by leaders and experts in the field. The instructors are affiliated with the Department of Biomedical [...]
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JAMIA Journal Club Webinar - August 2026

Type
JAMIA Journal Club
Credits
1.00
CME
1.00
CNE
Equity Implications of Extended Reality Technologies for Health and Procedural Anxiety: A Systematic Review and Implementation-Focused Framework Read the abstract Moderator Presenter Statement of Purpose This webinar will synthesize current evidence on extended reality (XR) interventions for health and procedural anxiety. These interventions have previously been shown to improve patient [...]
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25x5 Spotlight on Solutions: Real-World Innovations to Reduce Documentation Burden

Type
Member Interests
What does meaningful documentation burden reduction look like in practice? Join AMIA's 25x5 Task Force for the next installment of the Spotlight on Solutions webinar series, featuring six innovative posters recognized as 2026 25x5 Stars in Reducing Documentation Burden at the AMIA Amplify Conference. From ambient AI scribes and generative [...]
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AMIA 10x10: Introduction to Biomedical Informatics and Artificial Intelligence

Type
AMIA 10x10
Credits
46.50
CME
The goal of the AMIA 10x10 course is to provide a detailed overview of biomedical informatics and artificial intelligence (AI) to those who will work at the interface of healthcare and information technology (IT). The course provides up-to-date details on the current state-of-the-art in the field, including electronic health records [...]
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AI-Ready Data for Learning Health Systems: From Interoperability to Data Utility - An Enterprise Strategy for Trusted AI and Data Utility

Type
Industry Partner
Artificial intelligence is now a strategic priority and a clinical trust challenge. For healthcare organizations, success depends not only on which AI models they deploy, but on whether the enterprise data foundation behind those models is trusted, governed, contextualized, workflow-integrated, and fit for purpose. This webinar will explore how health [...]