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June 14, 2026BMC Medical Informatics and Decision MakingOpen Access

Implementing a quality assurance and maintenance framework for standardized clinical terminology data in a multi-institutional setting

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Authors

YPYoungsun ParkYSYukyeong SonSNS Nara

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Overview

Randomized trial evaluates a quality assurance framework for terminology mapping in multiple institutions, indicating improved data integrity.

Key Points

  • This study aims to apply and evaluate a scalable framework for quality assurance and maintenance of clinical terminology mappings across institutions.
  • Operationalized a QA framework through six data quality dimensions: validity, uniqueness, completeness, consistency, timeliness, and accuracy.
  • Conducted data mapping and assessments for three hospitals using a centralized terminology master within Kakao Healthcare’s Universal Data Model.
  • Performed various audits and analyses to identify and resolve issues in terminology mapping.
  • Resolved issues across all six data quality dimensions, ensuring high-fidelity standardization.
  • Corrected format errors and reduced redundancies, bridging mapping gaps effectively.
  • Achieved improved consistency through intra- and inter-institutional harmonization, bolstering data integrity.

Cite This Study

Park et al. (2026) studied this question.

synapsesocial.com/papers/6a2e456cb1cc60ccdea8a810https://doi.org/10.1186/s12911-026-03595-x
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