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SIIM26 logo footer
  • Attend
    • Hotels + Venue
    • Who Should Attend?
    • Networking Events
    • Justify Your Attendance!
    • Preliminary Program
  • Program
    • Program Agenda
    • Featured Education
      • General Sessions
      • Learning Labs
      • Scientific Presentations
      • SMIT Picks & Tips
      • Ask the Informaticists Meetups
    • Roadmaps
      • Cardiology
      • Dermatology
      • Ophthalmology
      • Pathology
      • Radiology
      • SMIT Picks & Tips
    • Expo Learning
    • Continuing Education
    • Speakers List
    • Preliminary Program
    • Speaker Resources
  • TECH Expo
    • Exhibitors
    • Alphabetical Exhibitor List
    • Product Categories
    • Expo Learning
    • Floor Plan
  • Pre-Conference
    • Epic Users Group Meeting
    • SIIM-ACR Data Science Summit
  • Exhibit + Sponsor
    • How To Sign Up
    • Sponsor + Advertise
    • Startup Street
    • Booth Contract
    • Rules & Regulations
    • Vendor Prospectus
    • Exhibitor Resources
    • Suitcase Marketing & Unauthorized Research Policy
  • Register
Sippel.Schmidt 600 x 600
Event Speaker

Teri Sippel Schmidt, MS, FSIIM

Adjunct Professor
Johns Hopkins University

As an Adjunct Professor at the Johns Hopkins School of Medicine and Marquette University BioMed Engineering, Teri is interested in all things informatics, especially DICOM and FHIR, but her favorite event is the SIIM Hackathon! After a role in developing the DICOM standard and implementations at GE Med, Teri was involved in two “start-ups”, Mitra Imaging and Karos Health, which truly changed the direction of PACS and interoperability. Teri lives and breathes standards as the original co-chair of IHE Radiology and involvment in the OHDSI Observational Research (OMOP) Medical Imaging Common Data Model (MI-CDM).

Sessions

DICOM Meets OMOP: Building Cohorts including Imaging in Observational Research

Presented by Blake Dewey, PhD, MSE , Paul Nagy, PhD, CIIP, FSIIM , Wooyeon (Jen) Park, MS, Teri Sippel Schmidt, MS, FSIIM in Cardiology, Dermatology, Ophthalmology, Pathology, Radiology Jun 11, 2026 | 7:30 AM.

Medical imaging and clinical care generate complementary but often siloed data. Imaging systems produce rich DICOM metadata, while EHRs capture diagnoses, labs, procedures, and outcomes that provide essential clinical context. For attendees involved in imaging research, analytics, or AI development, bridging these data sources is critical to enabling scalable, reproducible multimodal research across institutions. This…

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