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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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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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Scaling Open-Source Technologies in Health Care

Type
Policy
For generations, U.S. health care has almost exclusively been built using proprietary standards and technologies. We are moving to an era that embraces not only proprietary approaches but also allows for the implementation of open standards and technologies. HL7 FHIR APIs are the first step. Come learn more about what [...]
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AMIA 2026 Virtual Hill Day Recap Webinar

Type
Policy
Join the AMIA Public Policy team to hear about the connections and progress made, along with experiences from AMIA Virtual Hill Day. During the webinar, you will learn what this means for AMIA in the future and how AMIA can continue to build on this momentum. Participants will have the [...]
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CMS Health Tech Ecosystem Webinar

Type
Policy
The Centers for Medicare & Medicaid Services (CMS) has introduced a bold new framework built on collaboration, not just compliance. The CMS Health Technology Ecosystem calls on the entire healthcare industry, data networks, EHR systems, health app developers, providers, and innovators, to voluntarily align around a shared vision for data [...]