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October 19, 2026The Journal of Open Source SoftwareOpen Access

PatientProfiles: An R package to identify patient characteristics in data mapped to the OMOP common data model

Martí Català Mike Du Yuchen Guo Kim López‐Güell Núria Mercadé‐Besora Xihang Chen Marta Alcalde‐Herraiz Xintong Li Daniel Prieto‐Alhambra Edward Burn

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Abstract

Identify the characteristics of patients in data mapped to the Observational Medical Outcomes Partnership (OMOP) common data model.

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Cite This Study

Català et al. (2026) studied this question.

synapsesocial.com/papers/6ad85566c31ae80836fda654 https://doi.org/10.21105/joss.09654

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Keep reading

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1CohortCharacteristics: an R package for population characterisation in observational studies using the OMOP common data modelCohort Study · 2026 · 1 citations
2The OMOP common data model in Australian primary care data: Building a quality research ready harmonised dataset2024 · 15 citations
3Transforming Primary Care Data Into the Observational Medical Outcomes Partnership Common Data Model: Development and Usability Study2024 · 10 citations
4<scp>IncidencePrevalence</scp>: An R package to calculate population‐level incidence rates and prevalence using the<scp>OMOP</scp>common data modelOriginal Research · 2023 · 28 citations
5Transforming a Large-Scale Prostate Cancer Outcomes Dataset to the OMOP Common Data Model—Experiences from a Scientific Data Holder’s Perspective2024 · 5 citations

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Standardizing Survey, Vision Care, and Cognitive Assessment Data Generalizable Framework for Mapping Research Questionnaires to the OMOP Common Data Model2026
OMOP common data model transformation: leveraging a nationwide2026
DATOS-CAT: OMOP-Common Data Model for the Standardization, Integration and Analysis of Population-Based Biomedical Data in Catalonia2024

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