OMOP POU Data Card

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Publication

Naderalvojoud, Behzad, et al.
"Towards global model generalizability: independent cross-site feature evaluation for patient-level risk prediction models using the OHDSI network."
Journal of the American Medical Informatics Association 31.5 (2024): 1051–1061.

Please refer to the publication for full details on cohort construction and model development.

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Dataset Specification

• Source of Data: STARR OMOP
• Prediction outcome: Prolonged opioid use
  • 1: Prolonged
  • 0: Non-prolonged
• Covariate count: 10,636
• Total cohort size (original): 41,929 patients
• Final modeling cohort: 41,507 patients
• Training set size: 33,206
• Test set size: 8,301

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Note on Data Availability

Due to PHI restrictions, the full dataset cannot be publicly released. The files provided here are small subset examples with synthetic patients, intended only to demonstrate the structure and format of the dataset.

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File Descriptions

cohort_subset.csv

Contains 10 example (synthetic) patients with:

• rowId: patient identifier
• outcome: prolonged opioid use label

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data_subset.csv

Represents the model input matrix:

• Each row corresponds to a patient
• Each column corresponds to a covariate (by covariateId)
• rowId links to cohort_subset.csv

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covariate_subset.csv

Covariate dictionary containing:

• covariateId
• covariateName

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Support

Please contact Dr. Behzad Naderalvojoud at behzadn@stanford.edu for any questions or clarifications regarding this dataset.