This study describes the development of a framework for extending the Observational Medical Outcomes Partnership (OMOP) common data model to accommodate the unique data requirements of critical care. The authors collaborated with the Society of Critical Care Medicine's Critical Care Data Dictionary (C2D2) initiative to map ICU-specific data elements, such as continuous physiologic monitoring, ventilator parameters, and medication infusions, to standardized OMOP concepts.

This systematic review and methodological development study synthesized existing algorithms for identifying OUD in administrative claims and electronic health record data. The authors cataloged the ICD diagnosis codes, procedure codes, and medication indicators used across published studies to define OUD cases in administrative databases. The review revealed substantial heterogeneity in how OUD is operationalized across the research literature, with varying sensitivity and specificity depending on the codes and criteria employed. Based on the synthesis, the authors developed an evidence-based framework intended to standardize OUD identification for research purposes.

This study describes the development and application of a dual-framework approach using Rural-Urban Commuting Area (RUCA) codes to identify and address geographic disparities at both institutional and national levels. The authors demonstrate how RUCA-based geographic classification can be applied to institutional cancer registry data to characterize the rurality of patient populations served, and how the same framework can be scaled to national datasets to identify disparities across the cancer care continuum.