Terminology Mapping in Health Information Exchanges: A Case Study on ICD and LOINC Integration

Authors

  • Dr. Carlos Mendes Author
  • Dr. Olga Petrova Author

Keywords:

Health Information Exchange, International Classification of Diseases, LOINC, Automated Terminological Mapping, Semantic Interoperability, Clinical Data Standards, Medical Informatics, Ontology Alignment.

Abstract

This study looks into the concepts mapping between ICD and LOINC with respect to Health Information
Exchanges (HIE) towards enhancing semantic interoperability. We developed a hybrid strategy that
combines ontology alignment with machine learning approaches. Evaluation with real HIE data
demonstrated increased mapping accuracy, reliability, and faster response times to queries. Results
indicate that employing ICD in unison with LOINC markedly enhances the exchanges and the overall
analytic potential of clinical data. This study's results streamline and enhance automated mapping of
medical standards’ terminology, thereby improving data sharing across healthcare systems.

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Published

2024-06-28

Issue

Vol. 2 No. 2: (Apr-June) 2024

Section

Articles

How to Cite

Mendes, C., & Petrova, O. (2024). Terminology Mapping in Health Information Exchanges: A Case Study on ICD and LOINC Integration. Global Journal of Medical Terminology Research and Informatics, 2(2), 18-21. https://terminologyresearch.com/index.php/gjmtri/article/view/GJMTRI24205