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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 [...]
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Toward Virtual Patient: AI for Accelerating Medical Discovery

Type
Webinar
Today, medical discovery advances one clinical trial at a time, each taking years to execute and often costing $100 million or more. As we enter the era of precision health in which we recognize that “one size doesn't fit all” and thus try to tailor treatments for each individual, continuing [...]
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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 [...]

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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