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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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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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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 [...]

Members Only

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Clinical Informatics Careers at Wolters Kluwer Health

Type
Careers in Informatics
Wolters Kluwer Health is a leading global provider of trusted clinical technology, evidence-based content, and software solutions for healthcare professionals, researchers, and students. Our solutions are designed to reduce clinical variation and improve patient safety by ensuring that healthcare providers have the best evidence-based information available, reducing costs and increasing [...]
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Building a Digital Health Workforce: Embedding AI Competencies into Graduate, Professional, and In-Career Learning

Type
Webinar
The sustainable and responsible integration of artificial intelligence (AI)into healthcare requires not only advanced technology but also a workforce equipped to develop, deploy, and oversee these tools. While considerable attention ha been devoted to pilot projects and implementation pathways for AI systems, a significant gap remains in preparing clinicians, researchers [...]
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