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Showing 1 - 10 out of 759

Toward Virtual Patient: AI for Accelerating Medical Discovery

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 [...]

JAMIA Journal Club Webinar - June 2026

JAMIA Journal Club

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 [...]

NIH RFI: Framework for the NIH-Wide Strategic Plan for FY 2027-2031

May 26, 2026

AMIA’s comments on the NIH FY27–FY31 Strategic Plan framework urge NIH to prioritize informatics, data science, artificial intelligence, and digital infrastructure as foundational enablers of biomedical research. AMIA recommends strengthening workforce development, modernizing research data resources, advancing interoperable and trustworthy health technologies, and promoting transparent, evidence-based research stewardship. The comments […]

From Clinical Notes and Patient Narratives to Real-World Evidence: Case Studies and Evaluation Approaches for LLM-Based Clinical NLP Pipelines

Webinar

Large language models are transforming clinical NLP, but real-world healthcare pipelines still combine LLMs with traditional methods to turn clinical notes and patient narratives into structured evidence. This talk covers two active projects using this approach — one studying medication adherence across five diseases, another improving drug safety prediction — and discusses best practices for evaluating LLM systems in clinical settings.

FACMI and FAMIA: What They Are and How to Prepare.

Webinar

In this webinar, we will learn what FACMI and FAMIA are, why they matter, and how to prepare for a successful nomination. Presenters

Scaling Open-Source Technologies in Health Care

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 [...]

Friends of ONC's Statement on the President's FY27 Proposed Budget for ONC

April 29, 2026

The Friends of ONC letter urges Congress to reject proposed FY27 funding cuts to the Office of the National Coordinator for Health Information Technology (ONC), warning reductions from $69 million to $50 million would undermine interoperability, standards development, and coordination efforts critical to nationwide health data exchange and innovation.

AI Readiness in Nursing Education: Teaching, Measuring, and Advancing Competency

Webinar

Nursing education is already using AI, but are we teaching it intentionally, ethically, and effectively? Join informatics leaders and interdisciplinary experts as we explore AI competencies, real teaching examples, and what AACN should consider next. Watch the Webinar Presenters

Building a Digital Health Workforce: Embedding AI Competencies into Graduate, Professional, and In-Career Learning

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 [...]

From Models to Mission: Deploying National-Scale Clinical AI through VA–DOE Collaboration

Webinar

Deploying NLP and machine learning in real-world health systems requires far more than model development—it demands scalable infrastructure, rigorous evaluation, and integration within complex operational environments.

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