HIMSS: Bolstering AI, Interoperability to Transform Veteran Health Care
Dr. Shane McNamee, Senior Advisor to the CMIO for Health Solution Architecture, VHA and Dr. Johnathan Nebeker, Executive Director Clinical Informatics, VA
The Department of Veterans Affairs aims to develop and apply innovative AI solutions, boost interoperability and transform the agency by facilitating a learning environment that supports the delivery of benefits and services to veterans.
At HIMSS in Las Vegas, Dr. Shane McNamee, senior advisor to the chief medical information officer for health solution architecture at the Veterans Health Administration (VHA), and Dr. Johnathan Nebeker, executive director of Clinical Informatics at VA, discuss how they’re improving data integrity and interoperability to unlock AI’s full potential, as well as how AI-driven personalization is enhancing patient care.
McNamee and Nebeker also highlight how the PACT Act has increased the need to leverage innovation to support the influx of claims and benefits delivery. They explain the department’s efforts with workflow automation, recent AI use cases and the game-changing technologies on the horizon.
Check out our full conference coverage.
This is a carousel with manually rotating slides. Use Next and Previous buttons to navigate or jump to a slide with the slide dots
-
Federal CISO's Four Priorities to Strengthen Cybersecurity
Federal CISOs are shifting toward proactive risk management as rapidly advancing AI capabilities increase pressure on agencies to modernize.
3m read -
How Edge AI Can Strengthen Federal Missions, Security
Edge AI can help agencies improve security, reduce cloud dependency and scale AI across federal missions.
7m watch -
IT Officials Are Finding Efficiencies Across Cloud, Data Networks
Federal government agencies are utilizing data to integrate capabilities into environments and better deliver on mission.
4m read -
Agentic AI Raises New Security Challenges for Federal Agencies
Agencies are emphasizing risk management and real-time monitoring to keep ahead of potential challenges caused by legitimate and adversary AI agents.
3m read
