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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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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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JAMIA Journal Club Webinar - June 2026

Type
JAMIA Journal Club
Credits
1.00
CME
1.00
CNE
Building Safer Artificial Intelligence Mental Health Chatbots: A Framework for Transparency, Evaluation, and Shared Accountability Read the abstract Moderator Presenter Statement of Purpose Generative AI chatbots are increasingly being used for emotional support and mental health guidance, despite limited evidence demonstrating their safety, effectiveness, or appropriate governance. Recent studies and [...]
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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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