Education Catalog

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 [...]

The promise of secondary use of clinical data — from population health to clinical trial matching — often fails due to the reality of data quality. This session presents an end-to-end framework for converting fragmented, multimodal clinical data into audit-ready, high-fidelity data assets.

As healthcare organizations race toward automation, AI-driven workflows, and smarter clinical decision support, the ability to manage clinical terminology at scale has become a strategic imperative. Join us for an expert-led discussion on how scalable, tools-based approaches to value set management are transforming data integrity across the payer-provider ecosystem. This [...]

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 [...]