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Harmonizing Electronic Health Records to the OMOP Common Data Model: A Case Study on Surgical Complications
Naroa Mendez1, Eduardo Alonso1,2, Moisés David Espejo3,4
1Vicomtech Foundation, Basque Research and Technology Alliance, Donostia, Spain.
None:
This study details the transformation of Asunción Klinika's EHR data, including surgical records, into the OMOP Common Data Model 5.4 standard. The harmonized dataset, which includes patient demographics, diagnoses, procedures, prescribed drugs and laboratory tests, facilitates large-scale studies and comparative analysis. Extensive structural and conceptual mapping ensures high compatibility with key OMOP tables, making the data compatible with global research networks. By using standardized vocabularies, this transformation lays the foundation for powerful predictive models and decision support systems, with applications in surgical complications and broader clinical outcomes, paving the way for more informed, data-driven healthcare solutions.
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