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Multimodal Cross-Device and Marker-Free Co-Registration of Preclinical Imaging Modalities
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Using SNOMED CT as a reference terminology to cross map two highly pre-coordinated classification systems.

Steven H Brown1, Casey S Husser, Dietlind Wahner-Roedler

  • 1Department of Veterans Affairs, United States of America. steven.brown@va.gov

Studies in Health Technology and Informatics
|October 4, 2007
PubMed
Summary

SNOMED CT significantly improved crosswalks between ICD-9-CM and VBA disability codes, achieving 95% success compared to 26% with direct mapping alone. This demonstrates SNOMED CT

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Area of Science:

  • Medical Informatics
  • Health Services Research
  • Clinical Coding

Background:

  • Administrative healthcare classifications like ICD-9-CM and U.S. Veterans Benefits Administration (VBA) disability codes often lack direct interoperability.
  • Creating accurate crosswalks between these systems is crucial for data analysis and benefits administration.

Purpose of the Study:

  • To evaluate the utility of SNOMED CT (Systematized Nomenclature of Medicine - Clinical Terms) in facilitating a valid crosswalk between ICD-9-CM and VBA disability codes.

Main Methods:

  • Established an ICD-9-CM terminology server for baseline direct mapping of VBA disability codes.
  • Mapped both ICD-9-CM and VBA disability codes to SNOMED CT.
  • Matched SNOMED CT mappings across systems and presented related concepts for expert coder review.

Main Results:

  • Direct mapping between ICD-9-CM and VBA disability codes achieved only a 26% success rate.
  • The SNOMED CT-based crosswalk demonstrated a 95% success rate.
  • Expert review required additions to complete mappings in 99% of cases, highlighting the complexity.

Conclusions:

  • SNOMED CT serves as a valuable adjunct for creating crosswalks between administrative classification systems.
  • The SNOMED CT approach significantly enhances mapping coverage compared to direct ICD-9-CM mapping.