About the Session

Join the industry leaders as they share how AI-powered image release and patient engagement are streamlining radiology workflows, automating follow-up management, reducing enterprise risk and improving care coordination.

Through real-world case studies, the panel will highlight how AI can reduce manual processes, improve efficiency, and strengthen referring physician relationships, while delivering a better patient experience.

 

Objectives

  • Discuss how AI-driven tools can prevent missed follow-ups, reduce care gaps and enterprise risk.
  • Examine key strategies for integrating AI-powered patient engagement into existing imaging IT ecosystems to enhance efficiency and provider collaboration.
  • Discuss how network-free, seamless image exchange improves care coordination, reducing manual inefficiencies and eliminating reliance on outdated, high-risk systems.
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Sponsored by PocketHealth
Session Number

3006

Format

+Virtual Live Stream, Education Session

Learning Topic
Artificial Intelligence (AI)Enterprise ImagingProductivity & Workflow
Credit Type
ASRT-RTCAMPEP-MPCECSIIM IIP-CIIP

Presented By

 

Seetharam (Ram) Chadalavada, MD, CIIP

Vice Chair Radiology – Informatics, UC Health
CMO, PocketHealth

Tom Hasley

Chief Information Officer
Lucid Health

Rishi Nayyar

Co-Founder & CEO
PocketHealth

Carl Swanson, MS

AVP Enterprise Imaging
MedStar Health