Enterprise imaging is at an early crossroads. The ability to share medical images meaningfully between entities, or even internally within an entity, is dependent on a common language. Today, we rely on “translators”, such as data value and code “crosswalks”, to establish a common understanding of the information from disparate sources. This approach treats a symptom—the need to translate data from one entity to another—but it does not address the root cause, which is the failure to deploy a universal medical terminology.

Objectives

  • Describe the proposed standard series nomenclature.
  • Demonstrate how the nomenclature can be applied at different institutions.
  • Discuss standard series nomenclature application risks and benefits.

Resources

Watch for free, or click “Go to Webinar” to watch for credit.

CE Credit

SIIM has approved this activity for 1.0 hours of SIIM IIP Credits towards certification and re-certification by the American Board of Imaging Informatics (ABII).

To receive credit, registrants must view the entire webinar and then complete the post-webinar survey. Webinar credits will only be awarded one time per webinar view, regardless of if the learner watches the content live or on-demand.

Note: In order to receive credits for any events/learning you attend you must select your eligible credit types found in the CE & Certification section of your MySIIM Account profile.

To access the webinar, once you are registered navigate to My Learning in your My SIIM Account profile.    

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DATE

Mar 23, 2023

Non-Member Cost

$0

Member Cost

$0

Delivery Type

  • On-Demand

Audience Type

  • Clinician
  • Developer
  • Imaging IT
  • Researcher/Scientist
  • Student Member in Training (SMIT)
  • Vendor

Go to Webinar

Speakers

Kent Hutson, MD, CPE

Director of Innovation Clinical Operations

Radiology Partners

Gloria Hwang, MD

Associate Chair, Clinical Performance Improvement,

Medical Informatics Director Stanford University

Marc Kohli, MD

Professor of Radiology & Medical

Medical Director of Imaging Informatics UCSF

Audrey Verde, MD, PhD

Assistant Professor

Vanderbilt

Ken Wang, MD, PhD

Adjunct Associate Professor

University of Maryland

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