When health crises cross borders, siloed data slows response. Learn how federated AI and GraphRAG are transforming disease surveillance—without compromising privacy.
When disease outbreaks strike across borders, collaboration is critical—but how can independent health systems work together without compromising data sovereignty or patient privacy?
This webinar explores how a cutting-edge AI solution powered by agentic architecture and GraphRAG enables coordinated, real-time disease surveillance across jurisdictions—all while respecting regulatory constraints.
You’ll discover how this federated approach solves the core challenge of harmonizing disparate data structures and legal frameworks. By using specialized AI agents and large language models (LLMs) as an interoperability layer, our solution empowers public health agencies to detect patterns faster and act smarter.
Join us to explore how this AI-powered architecture enables:
- Real-time pattern extraction across health systems and regions
- Automated coordination during multi-country disease outbreaks
- Privacy-preserving analysis that adheres to strict data-sharing laws
- Scalable integration of new and diverse data sources
- Compliance-first design that meets global privacy regulations
This session will showcase how federated knowledge graphs and GraphRAG-enhanced LLMs are transforming disease response—delivering actionable insights without ever compromising sovereignty.
Any questions? Please email kmccabe@redhat.com
Live event date: Thursday, July 31, 2025 | 12 p.m. ET
Wes Jackson
Senior Solution Architect, Red Hat
Wes Jackson has worked with customers to build IT solutions for over 25 years, integrating various technologies and approaches to produce outcomes and achieve mission objectives. Serving highly regulated industries such as healthcare and defense, he understands how to approach IT challenges with a security-focused, compliant end-state in mind.
At Red Hat, Wes focuses on helping customers build cloud-native platforms where they can run artificial intelligence and machine learning (AI/ML) workloads, integrate heterogeneous data, and facilitate outcomes anywhere in the world. He has managed global engineering teams, built service offerings to help customers scale their missions, and designed software solutions to meet the needs of growing organizations.
Richard Schaefer
Former Chief AI Officer / CTO, US Department of Veteran Affairs
He previously was a health informatics and AI leader in the Department of Veterans Affairs holding positions including, VISN 15 Chief AI Officer (CAIO), Chief Health Informatics Officer (CHIO) at the Kansas City VA Medical Center, AI Solution Architect for the National Artificial Intelligence Institute (NAII) NAII AI Center. He co-founded the renowned Medical Informatics Data Science Emerging Technologies (MInDSET) program at the Kansas City VA Medical Center (KCVAMC). Dr. Schaefer was an accomplished clinician having completed a pharmacy residency at the VA San Diego Healthcare System (SDVAHCS) and serving as Internal Medicine Clinical Pharmacy Specialist and Acute Care Student Coordinator, Assistant Director, Inpatient Pharmacy Services and then to Director, Pharmacy Integrated Technologies, Assistant Chief, Pharmacy Clinical Informatics, eHRM Pharmacy Data Migration Lead and SecVA IPT team lead and VA Innovations subject matter expert.
