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The American Medical Informatics Association (AMIA) is excited to announce a partnership with Washington University in St. Louis School of Medicine (WashU Medicine) to enhance US policymakers' expertise around AI’s impact on healthcare. This one-day course, taught by leading health informatics educators, aimed to equip legislators and their staff to [...]
Concerns around rigor, transparency, and reproducibility have increasingly come to the forefront of biomedical research. In response, the research community has developed a range of standards, guidelines, and best practices to improve how studies are conducted and reported.
This session introduces a solution architecture for automating the transformation of raw, unstructured, and multimodal clinical data into a standardized OMOP data model using large language models (LLMs) and Agentic AI. We outline the end-to-end system developed by John Snow Labs as part of its Patient Journeys product platform, which [...]
Join a panel of informaticians from Elimu Informatics to understand how they apply workflow analysis and modeling, clinical decision-support design and development, knowledge management techniques, and interoperability standards to create real-world scalable solutions.
Hear from a national leader shaping the future of healthcare delivery through informatics. Dr. Murielle Beene will shares her career journey across public, private, and consulting sectors, her strategic leadership at Trinity Health, and her perspectives on the evolving role of informatics in driving data-informed, evidence-based care.
Developing equitable, sustainable informatics solutions is key to scalability and long-term success for projects in the global health informatics (GHI) domain. This webinar presents key strategies for incorporating principles of health equity in the GHI project lifecycle.
AMIA’s Clinical Informatics Conference gathers clinical informaticians to explore cutting edge ways of turning innovation into practice-ready solutions that make an immediate impact on patient care. The On Demand Bundle includes the 20 of the top sessions from CIC 2025.
The purpose of the panel is to discuss and inform the researchers and practitioners about the differences between task-specific models versus general-purpose models, namely, between Named Entity Recognition (NER) models and Large Language Models (LLM). NER is an important task in natural language processing. Due to the complexity and ever-changing [...]