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Related Concept Videos

Anatomical Terminology01:20

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Knowledge of anatomy is essential to understand human biology and medicine. Anatomists and health care professionals use standard terminology to describe the human body with more precision and no ambiguity. Anatomical terms have mostly Greek and Latin-derived roots. Because these languages are rarely used in conversation, the meaning of words remains the same. Each term is made up of a root in between the prefixes and suffixes. The root of a term often refers to an organ, tissue, or condition,...
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Nursing Clinical Information System

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Multimodal Cross-Device and Marker-Free Co-Registration of Preclinical Imaging Modalities
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Experiences mapping a legacy interface terminology to SNOMED CT.

Geraldine Wade1, S Trent Rosenbloom

  • 1Information Management, Hewlett-Packard Company, Atlanta, GA, USA. geraldine.wade@hp.com

BMC Medical Informatics and Decision Making
|November 26, 2008
PubMed
Summary

Migrating legacy clinical terminology to SNOMED CT requires robust mapping rules and iterative collaboration. This process identifies SNOMED CT (Systematized Nomenclature of Medicine - Clinical Terms) inconsistencies and aids its refinement.

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Area of Science:

  • Health Informatics
  • Clinical Terminology Management
  • Medical Standards Development

Background:

  • Growing adoption of SNOMED CT as the standard clinical terminology.
  • Need for healthcare applications to migrate from legacy terminologies to SNOMED CT.
  • Challenges in mapping existing clinical data to SNOMED CT.

Purpose of the Study:

  • To describe a methodology for mapping legacy concepts to SNOMED CT.
  • To share experiences and lessons learned from a SNOMED CT mapping project.
  • To contribute to the refinement of SNOMED CT through practical application.

Main Methods:

  • Establishing clear mapping rules between terminologies.
  • Employing iterative, collaborative refinement of mapped results.
  • Achieving consensus on final concept maps through multiple review cycles.

Main Results:

  • Quantification of mapping success (number of matches, map quality).
  • Analysis of SNOMED CT characteristics, including post-coordination and multiple maps.
  • Identification of SNOMED CT inconsistencies, redundancies, and omissions.

Conclusions:

  • The developed methodology offers a valuable framework for SNOMED CT migration.
  • Lessons learned can assist other organizations facing similar terminology challenges.
  • Findings contribute to the ongoing improvement and standardization of SNOMED CT.