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Journal of General Internal Medicine|September 17, 2025
Caring for Communities: Comparing Health Care System Patient Populations to Regional PopulationsJohn P Powers, Timothy S Carey, Taylor W Hargrove, et al.JAMIA Open|July 23, 2026
From clinics to discoveries: harnessing national EHR interoperability for researchJosh Lemieux, Emily R Pfaff, Richard A Moffitt, et al.Journal of the American Medical Informatics Association : JAMIA|November 23, 2024
National COVID Cohort Collaborative data enhancements: a path for expanding common data modelsKellie M Walters, Marshall Clark, Sofia Dard, et al.Journal of the American Heart Association|March 17, 2020
Associations Between Long-Term Fine Particulate Matter Exposure and Mortality in Heart Failure PatientsCavin K Ward-Caviness, Anne M Weaver, Matthew Buranosky, et al.Communications Medicine|April 10, 2025
Identifying commonalities and differences between EHR representations of PASC and ME/CFS in the RECOVER EHR cohortJohn P Powers, Tomas J McIntee, Abhishek Bhatia, et al.Medrxiv : the Preprint Server for Health Sciences|January 19, 2023
SARS-CoV-2 Reinfection is Preceded by Unique Biomarkers and Related to Initial Infection Timing and Severity: an N3C RECOVER EHR-Based Cohort StudyEmily Hadley, Yun Jae Yoo, Saaya Patel, et al.The Lancet. Digital Health|August 26, 2025
Re-engineering a machine learning phenotype to adapt to the changing COVID-19 landscape: a machine learning modelling study from the N3C and RECOVER consortiaMiles Crosskey, Tomas McIntee, Sandy Preiss, et al.Journal of the American Medical Informatics Association : JAMIA|May 23, 2023
De-black-boxing health AI: demonstrating reproducible machine learning computable phenotypes using the N3C-RECOVER Long COVID model in the All of Us data repositoryEmily R Pfaff, Andrew T Girvin, Miles Crosskey, et al.Communications Medicine|July 11, 2024
Insights from an N3C RECOVER EHR-based cohort study characterizing SARS-CoV-2 reinfections and Long COVIDEmily Hadley, Yun Jae Yoo, Saaya Patel, et al.Pediatric Diabetes|June 11, 2014
Use of administrative and electronic health record data for development of automated algorithms for childhood diabetes case ascertainment and type classification: the SEARCH for Diabetes in Youth StudyVictor W Zhong, Emily R Pfaff, Daniel P Beavers, et al.Pageof 5