e.g. mhealth
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Most ETL processes work based on having access to the data at the time of designing the conversion, and indeed, the OHDSI tools run on the source data; allow notes to be curated for how data should be converted; and typically require manual development of scripts to convert data from source to OMOP. This approach relies on a team having access to the data, which may not for privacy reasons be desirable in relation to health care and sensitive research datasets.
JMIR Res Protoc 2025;14:e60917
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