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Utilization analysis of laboratory tests using health insurance claims data: advancing nationwide diagnostic stewardship monitoring systems

  • Se-eun Koo ORCID logo , Jiyeon Kim ORCID logo and Kuenyoul Park ORCID logo EMAIL logo
Published/Copyright: July 15, 2025

Abstract

Objectives

Diagnostic stewardship aims to optimize laboratory testing practices by ensuring appropriate test utilization while minimizing unnecessary testing. However, the nationwide monitoring systems for laboratory test utilization remain underdeveloped. In this study, we analyzed nationwide health insurance claims data to identify inappropriate test utilization patterns and inform diagnostic stewardship interventions.

Methods

We analyzed the health insurance claims data from the Health Insurance Review and Assessment Service of Korea from January 2018 to December 2023. Three laboratory tests with concerns were evaluated. Inappropriate test utilization was classified based on adherence to recommended methodologies and institutional testing practices.

Results

The proportion of tuberculosis cultures performed using both liquid and solid media increased from 84.6 % in 2018 to 91.4 % in 2023; however, some institutions continued to perform >90 % of tests using only a single medium. Regional disparities were observed, with nonmetropolitan areas exhibiting higher rates of inappropriate tuberculosis testing. Stool ova and parasite tests showed a persistent reliance on direct smear-only methods. The correlation between endemic parasitic regions and the high proportions of direct smear-only tests suggests an urgent need for improved diagnostic methodologies. Despite longstanding recommendations against their use, bleeding time tests remained frequently ordered. The total number of bleeding time test claims exceeded 400,000 annually, with a limited decline over time.

Conclusions

Systematic monitoring frameworks based on nationwide claims data can identify inappropriate test utilization and support diagnostic stewardship efforts by informing targeted interventions, thereby optimizing laboratory resource allocation and enhancing patient safety.


Corresponding author: Kuenyoul Park, Department of Laboratory Medicine, Sanggye Paik Hospital, School of Medicine, Inje University, 1342 Dongil-ro, Nowon-gu, Seoul 01757, Republic of Korea, E-mail:

  1. Research ethics: This study was conducted in accordance with the Declaration of Helsinki (as revised in 2013). The Institutional Review Board of Sanggye Paik Hospital waived the requirement for review of the study and the need to obtain informed consent (2023-11-012).

  2. Informed consent: Not applicable.

  3. Author contributions: Conceptualization: Park K. Data curation: Koo S. Investigation: Koo S and Kim J. Writing – original draft: Koo S. Writing – review & editing: Park K. All authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  4. Use of Large Language Models, AI and Machine Learning Tools: None declared.

  5. Conflict of interest: The authors state no conflict of interest.

  6. Research funding: None declared.

  7. Data availability: The raw claims datasets generated and/or analyzed in this study are not publicly available because of the ethical restrictions imposed by the HIRA. All data used in this study were obtained from HIRA research data (M20241030002).

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Supplementary Material

This article contains supplementary material (https://doi.org/10.1515/cclm-2025-0641).


Received: 2025-05-27
Accepted: 2025-07-03
Published Online: 2025-07-15
Published in Print: 2025-10-27

© 2025 Walter de Gruyter GmbH, Berlin/Boston

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