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A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

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Harmonization of Data Across Cohorts Using Standard Terminologies.

Ahjung Byun¹, Sumi Sung², Jiyeon Yu¹

¹Seoul National University, Seoul, Republic of Korea.

Studies in Health Technology and Informatics

|August 23, 2024

Summary

This summary is machine-generated.

The Korean National Institute of Health is standardizing health data across research cohorts. This initiative ensures data interoperability and creates a common database for future collaborative studies.

Keywords:

Bio big data Cohort data Data harmonization Global standard health terminology Interoperability

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Area of Science:

Health Informatics
Biomedical Research Data Management

Background:

Data from multiple health research cohorts often lack standardization.
This heterogeneity hinders data sharing and collaborative analysis.

Purpose of the Study:

To harmonize data across Korean National Institute of Health cohorts.
To establish semantic interoperability for a common research database.
To facilitate future collaborative research initiatives.

Main Methods:

Reviewed codebooks from various cohorts to identify common data items and values.
Mapped identified data elements to standard health terminologies, including SNOMED CT.
Developed a strategy for combining data for analysis.

Main Results:

Identified common data items and values suitable for harmonization.
Initiated mapping to standard terminologies like SNOMED CT.
Preliminary results of the ongoing harmonization process are available.

Conclusions:

Data harmonization is crucial for enabling semantic interoperability.
Standardized data elements facilitate collaborative research.
This ongoing work by the Korean National Institute of Health will enhance future research capabilities.