biostudies-literatureReps JMHealth Promotion Administration, Ministry of Health and WelfareNLM NIH HHSHealth Promotion Administration, Ministry of Health and Welfare (TW)Innovative Medicines Initiative Joint Undertaking102https://www.ebi.ac.uk/biostudies/studies/S-EPMC7201646biostudies-literatureUnknown20(1)<h4>Background</h4>To demonstrate how the Observational Healthcare Data Science and Informatics (OHDSI) collaborative network and standardization can be utilized to scale-up external validation of patient-level prediction models by enabling validation across a large number of heterogeneous observational healthcare datasets.<h4>Methods</h4>Five previously published prognostic models (ATRIA, CHADS₂, CHADS₂VASC, Q-Stroke and Framingham) that predict future risk of stroke in patients with atrial fibrillation were replicated using the OHDSI frameworks. A network study was run that enabled the five models to be externally validated across nine observational healthcare datasets spanning three countries and five independent sites.<h4>Results</h4>The five existing models were BMC medical research methodologyFeasibility and evaluation of a large-scale external validation approach for patient-level prediction in an international data network: validation of models predicting stroke in female patients newly diagnosed with atrial fibrillation.PMC7201646806968R01 LM011369HI16C0992You SCFalconer TCallahan ALim HSReps JMPark RWRyan PBWilliams RDMinty ERijnbeek PfalseFeasibility and evaluation of a large-scale external validation approach for patient-level prediction in an international data network: validation of models predicting stroke in female patients newly diagnosed with atrial fibrillation.<h4>Background</h4>To demonstrate how the Observational Healthcare Data Science and Informatics (OHDSI) collaborative network and standardization can be utilized to scale-up external validation of patient-level prediction models by enabling validation across a large number of heterogeneous observational healthcare datasets.<h4>Methods</h4>Five previously published prognostic models (ATRIA, CHADS₂, CHADS₂VASC, Q-Stroke and Framingham) that predict future risk of stroke in patients with atrial fibrillation were replicated using the OHDSI frameworks. A network study was run that enabled the five models to be externally validated across nine observational healthcare datasets spanning three countries and five independent sites.<h4>Results</h4>The five existing models were 2020-01-01T00:00:00Z2020 May2026-05-06T21:42:16.037Z2020-05-22T19:39:54ZS-EPMC72016463237569310.1186/s12874-020-00991-3