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SIIM Annual Meeting
  • Attend
    • Who Attends
    • Networking Events
    • Hotels & Venue
    • Preliminary Program
    • Press Registration
    • Justification Letter & Tips
    • Health & Safety
  • Program
    • Program Agenda
    • Featured Education
      • General Sessions
      • Learning Labs
      • Scientific Presentations
    • Learning Zones
      • AI Playground
      • Hackathon
      • Learning Theaters
      • Ask the Informaticists
    • Continuing Education
    • Speakers List
    • Preliminary Program
  • Tech Expo
    • InformaticsTECH Day
    • Exhibitors
    • Alphabetical Exhibitor List
    • Product Categories
  • Pre-Conference
    • Epic Users Group Meeting
    • SIIM-ACR Data Science Summit
  • Exhibit+Sponsor
    • Exhibit Signup
    • Sponsor + Advertise
    • Booth Contract
    • Rules & Regulations
    • Exhibitor Resources
    • Vendor Prospectus
    • Suitcase Marketing Policy
  • Register Now
Chase Heather
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Event Speaker

Heather W. Chase, MS

Clinical Informaticist, Health and Life Sciences
Microsoft

Heather W. Chase is a Clinical Informaticist at Microsoft, specializing in healthcare interoperability and diagnostic informatics. With over 25 years of experience in clinical care and health technology, she leads Common Data Element (CDE) implementations for PIN vendors, driving standardization and structured reporting across diagnostic disciplines. She collaborates with Dr. Tarik Alkasab and industry leaders to define and validate CDEs, integrating SNOMED, RadLex, and FHIR standards. Heather plays a pivotal role in advancing AI-driven diagnostic solutions, shaping industry-wide standards, and driving adoption of structured data to enhance clinical decision-making and interoperability.

Sessions

Unifying Structured and Unstructured Imaging Information

Presented by Tarik Alkasab, MD, PhD, C. Michael Hood, MD, Heather W. Chase, MS May 21, 2025 | 10:00 AMOregon Ballroom 203

This session will explore techniques and processes for integrating radiology data into a unified, standardized data model. Participants will gain insights into the current use of a Common Data Element (CDE)-based model for representing radiology results from multiple sources, serving as a common language across systems. The discussion will include a summary of this model…

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