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Mapping Hungarian procedure codes to SNOMED CT.

Ágota Mészáros1, Sándor Kovács2, Tibor Héja2

  • 1Department of Public Health, Semmelweis University, Budapest, Hungary. meszaros.agota@semmelweis.hu.

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|October 18, 2023
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Summary
This summary is machine-generated.

Mapping Hungarian procedure codes (OENO) to SNOMED CT enhances real-world data (RWD) research. This study details challenges and solutions for harmonizing national codes, improving international data consistency.

Keywords:
Data harmonizationElectronic medical recordFederated data networkHealth dataReal-world data

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Area of Science:

  • Health Informatics
  • Data Science
  • Medical Coding

Background:

  • Data harmonization is crucial for real-world data (RWD) research using hospital databases.
  • International coding system differences necessitate mapping national codes to standard systems.
  • Hungarian systems use national procedure codes (OENO) requiring mapping to standard vocabularies like SNOMED CT.

Purpose of the Study:

  • To map Hungarian procedure codes (OENO) to SNOMED CT.
  • To address challenges in mapping national medical procedure codes.
  • To facilitate the use of Hungarian RWD in international research.

Main Methods:

  • Recruited 25 professionals for manual mapping of OENO codes (2011-2021).
  • Developed a mapping protocol and training materials.
  • Recorded and categorized mapping challenges (semantic, matching, methodological).

Main Results:

  • Successfully mapped 4661 OENO codes, primarily to SNOMED CT.
  • Identified semantic, matching, and methodological challenges in the mapping process.
  • Approximately 7% of codes were cross-validated by multiple specialists.

Conclusions:

  • The presented challenges and solutions can guide researchers in mapping national codes to standard vocabularies.
  • This work promotes greater consistency in mapping results.
  • Improved data harmonization will enhance the utility of Hungarian RWD in global research collaborations.