Harmonization of Data Across Cohorts Using Standard Terminologies
Digital Health and Informatics Innovations for Sustainable Health …, 2024•ebooks.iospress.nl
Abstract Korean National Institute of Health initiated data harmonization across cohorts with
the aim to ensure semantic interoperability of data and to create a common database of
standardized data elements for future collaborative research. With this aim, we reviewed
code books of cohorts and identified common data items and values which can be combined
for data analyses. We then mapped data items and values to standard health terminologies
such as SNOMED CT. Preliminary results of this ongoing data harmonization work will be …
the aim to ensure semantic interoperability of data and to create a common database of
standardized data elements for future collaborative research. With this aim, we reviewed
code books of cohorts and identified common data items and values which can be combined
for data analyses. We then mapped data items and values to standard health terminologies
such as SNOMED CT. Preliminary results of this ongoing data harmonization work will be …
Abstract
Korean National Institute of Health initiated data harmonization across cohorts with the aim to ensure semantic interoperability of data and to create a common database of standardized data elements for future collaborative research. With this aim, we reviewed code books of cohorts and identified common data items and values which can be combined for data analyses. We then mapped data items and values to standard health terminologies such as SNOMED CT. Preliminary results of this ongoing data harmonization work will be presented.
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