• 国家药监局综合司 国家卫生健康委办公厅
  • 国家药监局综合司 国家卫生健康委办公厅

Research on Three-Level Mapping and Standardization of Laboratory Test Data Elements Based on Multi-Criteria Collaboration

Corresponding author: ZHANG Shengfa, zhangshengfa@pumc.edu.cn; PENG Suyuan, peng.suyuan@bjmu.edu.cn
DOI: 10.12201/bmr.202604.00050
Statement: This article is a preprint and has not been peer-reviewed. It reports new research that has yet to be evaluated and so should not be used to guide clinical practice.
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    Abstract: Purpose/Significance To address issues such as inconsistent naming and disparate units of measurement in the cross-institutional sharing and reuse of multi-source laboratory test data, this study explores a standardized code-alignment method that balances compliance with domestic standards and international interoperability. Method/Process Based on the WS/T363.9 and WS446 standards as well as the international coding system LOINC, a “Triple Mapping”framework for laboratory test data elements was constructed, and a coordinated completion strategy was proposed. From the cardiovascular disease datasets submitted to the National Population Health Data Center (NPHDC), 8175 laboratory test entries were selected for batch mapping. Mapping quality was ensured through consistency validation and manual review. Result/Conclusion After excluding 993 non-objective quantifiable indicators, the mapping coverage rates for WS/T363.9, WS446, and LOINC were 47.95%, 72.16%, and 79.87%, respectively, with 46.83% achieving tripartite code alignment. The results indicate that this framework effectively improves international interoperability coverage while meeting domestic compliance requirements. The remaining unmapped entries suggest that there is still room for refinement regarding specialty expansion and the granularity of localization.

    Key words: health information; data aggregation; data element; laboratory tests; LOINC

    Submit time: 29 May 2026

    Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
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  • ID Submit time Number Download
    1 2026-04-07

    10.12201/bmr.202604.00050V1

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LU Yiwei, SUN Han, LI Keqian, ZHOU Wei, ZHU Yan, ZHANG Shengfa, PENG Suyuan. Research on Three-Level Mapping and Standardization of Laboratory Test Data Elements Based on Multi-Criteria Collaboration. 2026. biomedRxiv.202604.00050

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