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Clinical Informatics Board Review Course (CIBRC) Bundle

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Type
Certification
Credits
55.00
CME
The CIBRC Bundle is a Premium Package offering all of AMIA’s clinical informatics board review tools at a discount. Participants have the opportunity to engage in self-paced learning using CIBRC Online Plus, with its 27 lectures of content directly related to the Delineation of Practice along with the 250 practice [...]
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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 [...]
NEW
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Alzheimers Informatics

Type
AMIA On Demand
Credits
1.50
CME
Understanding the Clinical Modalities Important in NeuroDegenerative Disorders and Risk of Patient Injury Using Machine Learning and Survival Analysis Falls among the elderly and especially those with NeuroDegenerative Disorders (NDD) reduce life expectancy. The purpose of this study is to explore the role of Machine Learning on Electronic Health Records [...]
Course Event Type
NEW
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AMIA 2025 Informatics Summit On Demand Bundle

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Type
AMIA On Demand
Credits
20.50
CME
AMIA’s Informatics Summit brings together researchers, academicians and innovative thinkers blending complementary thematic tracks in translational bioinformatics, clinical research informatics and data science. Take a look at the top 15 sessions from this year’s Summit. Individual sessions are available for purchase separately. Take up to two years to claim CME [...]
Course Event Type
NEW
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Bioinformatics and Genome Analysis

Type
AMIA On Demand
Credits
1.00
CME
GENEVIC: GENetic data Exploration and Visualization via Intelligent interactive Console The generation of massive omics and phenotypic data has enabled investigators to study the genetic architecture and markers in many complex diseases; however, it poses a significant challenge in efficiently uncovering valuable knowledge. Here, we introduce GENEVIC, an AI-driven chat [...]
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