Education Catalog

The goal of this course is to provide a detailed overview of biomedical and health informatics and artificial intelligence (AI) to those who will work at the interface of healthcare and information technology (IT). The course also aims to provide an entry point for those wishing further study (and/or career [...]

Multi-Modal Prediction of Extracorporeal Support—A Resource Intensive Therapy, Utilizing A Large National Database

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.

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 [...]

As artificial intelligence evolves in health care, strategic investment in its research and development is essential to ensure safe and effective application. The National Library of Medicine, a pioneer in AI since the 1960s, continues to advance the field through intramural and extramural research, as well as strategic investments in [...]