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25x5 Spotlight on Solutions: Real-World Wins in Reducing Documentation Burden

Type
Member Interests
Join us for a dynamic 25x5 webinar highlighting innovative, real-world approaches to reducing documentation burden in healthcare. This special session features select poster presentations recognized as 25x5 Stars in Reducing Documentation Burden at the 2025 AMIA Clinical Informatics Conference. Each presenter will share their impactful work in a rapid, engaging [...]
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AMIA 10x10 with Oregon Health & Science University

Type
AMIA 10x10
Credits
46.50
CME
Introduction to Biomedical Informatics and Artificial Intelligence Oregon Health & Science University (OHSU) offers 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 and health informatics and artificial intelligence (AI) to those who [...]
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Developing the Informatics Workforce of Tomorrow

Type
AMIA On Demand
Credits
0.75
CME
0.75
CNE
Design and Development of a Clinical Informatics Fellowship Scheduling Dashboard Using Agile Methodologies Fellowship training in clinical informatics present unique challenges for leaders, instructors, and trainees as graduation requirements, Accreditation Council for Graduate Medical Education (ACGME) expectations, and graduate medical education (GME) budgetary requirements can be complex. We sought to [...]
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JAMIA Journal Club Webinar - July 2025

Type
JAMIA Journal Club
Credits
1.00
CME
1.00
CNE
Alert Design in The Real World: A Cross-Sectional Analysis of Interruptive Alerting at 9 Academic Pediatric Health Systems Read the abstract Moderator Presenter Statement of Purpose Design elements critical for CDS have been recommended in the literature. However, adherence to these recommendations is not clear. In this work, we assessed [...]
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JAMIA Journal Club Webinar - June 2025

Type
JAMIA Journal Club
Credits
1.00
CME
1.00
CNE
Large Language Models Are Less Effective at Clinical Prediction Tasks Than Locally Trained Machine Learning Models Read the abstract Moderator Presenter Statement of Purpose Over the past several decades, medicine has been increasingly aided by artificial intelligence (AI) and particularly machine learning (ML). While model development has advanced, it is [...]