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Standardization of Transfer across Labs between Flow Cytometers for Detection of Lymphocytes in Japanese Encephalitis Vaccinated Children

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Standardizing clinical laboratory data for secondary use.

Swapna Abhyankar¹, Dina Demner-Fushman, Clement J McDonald

¹Lister Hill National Center for Biomedical Communications, National Library of Medicine, 8600 Rockville Pike, Building 38A/7N707, Bethesda, MD 20894, USA. swapna.abhyankar@nih.gov

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|May 8, 2012

Summary

This summary is machine-generated.

Mapping clinical data to standard codes like LOINC improves research usability. This study successfully standardized most laboratory tests in the MIMIC-II database, saving future researchers time.

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Area of Science:

Clinical Informatics
Biomedical Data Science

Background:

Clinical databases are valuable for research but often use non-standard variable names.
This lack of standardization hinders data analysis and requires extensive pre-processing.
The Medical Information Mart for Intensive Care II (MIMIC-II) database faces these standardization challenges.

Purpose of the Study:

To map laboratory test variables in the MIMIC-II database to standardized Logical Observation Identifiers Names and Codes (LOINC) codes.
To enhance the usability of the MIMIC-II database for clinical research.

Main Methods:

Systematic mapping of laboratory test names and codes from the MIMIC-II database to LOINC.
Analysis of unmapped tests to identify reasons for non-correspondence.

Main Results:

Successfully mapped 87% of unique laboratory tests, representing 94% of all test results.
Unmapped tests were primarily due to ambiguous names (60%) or absence in the LOINC table (29%).

Conclusions:

LOINC codes effectively cover the majority of laboratory tests used in critical care settings.
Standardizing MIMIC-II data with LOINC codes significantly reduces the data cleaning burden for future researchers.