Analytic Interoperability Framework for High-Fidelity Representation of Perioperative Electronic Health Record Data in the OMOP Common Data Model Using Clinical Representation and Analytic Concept Reconstruction

Objective To evaluate whether complex perioperative electronic health record (EHR) data can be represented within the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) while preserving clinically meaningful analytic concepts. Materials and Methods Data from 31,158 consecutive adult elective surgical encounters (October 2015 - September 2025) were extracted from an academic medical center Epic Clarity database. Source concepts required for a postoperative respiratory failure dataset were manually mapped to OMOP using the OHDSI Athena vocabulary and classified by Health L

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