National Clinical Cohort Collaborative (N3C) & NIH RECOVER

Selected Outputs

Publications

• Crosskey, M., McIntee, T., Preiss, A., [including Bhatia, A.], … Pfaff, E.R. “Re-engineering a machine learning phenotype to adapt to the changing COVID-19 landscape.” The Lancet Digital Health (2025). doi:10.1016/j.landig.2025.100887
• Preiss, A.*, Bhatia, A.*, et al. “Effect of Paxlovid treatment during active COVID-19 on Long COVID onset: An EHR-based target trial emulation from the N3C and RECOVER consortia.” PLOS Medicine (2025). doi:10.1371/journal.pmed.1004711
• Powers, J., McIntee, T., Bhatia, A., … Pfaff, E.R. “Identifying Commonalities and Differences Between EHR Representations of PASC and ME/CFS in the RECOVER EHR Cohort.” Communications Medicine (2025). doi:10.1038/s43856-025-00827-5
• Bhatia, A.*, Preiss, A.*, et al. “Effect of Nirmatrelvir/Ritonavir (Paxlovid) on Hospitalization among Adults with COVID-19: an EHR-based Target Trial Emulation from N3C.” PLOS Medicine (2025). doi:10.1371/journal.pmed.1004493
• Pfaff, E.R., Madlock-Brown, C., Baratta, J.M., Bhatia, A., et al. “Coding Long COVID: Characterizing a new disease through an ICD-10 lens.” BMC Medicine (2023). doi:10.1186/s12916-023-02737-6
• Pfaff, E.R., Girvin, A.T., Bennett, T.D., Bhatia, A., et al. “Identifying who has long COVID in the USA: a machine learning approach using N3C data.” The Lancet Digital Health (2022). doi:10.1016/S2589-7500(22)00048-6
• Brown, T., Martinez de Salazar Munoz, P., Bhatia, A., et al. “Geographically skewed recruitment and COVID-19 seroprevalence estimates.” BMJ Open (2023). doi:10.1136/bmjopen-2022-061840

Presentations

• Bhatia, A., McIntee, T., Ward-Caviness, C., Madlock-Brown, C., Pfaff, E. “At the Intersection of Health and Place: Integrating EHRs with Geospatial Data for Research, Practice, and Policy.” Panel, AMIA Annual Symposium, Atlanta, GA. (2025)
• Bhatia, A., Crosskey, M., McIntee, T., Pisal, E., Pfaff, E.R. “From Complex to Comprehensible: A TF-IDF Approach for Hierarchical Aggregation of Clinical Conditions in SNOMED CT.” AMIA Informatics Summit, Pittsburgh, PA. (2025)
• Weiskopf, N.*, Pfaff, E.R.*, Madlock-Brown, C.*, Phuong, J.*, Bhatia, A.*. “Considerations for long-COVID research using real-world data.” Panel, AMIA Informatics Summit, Seattle, WA. (2023)
• Bhatia, A.*, Preiss, A.*. “Harnessing Electronic Health Record data for Causal Inference through Target Trial Emulation: lessons from N3C-RECOVER.” Poster, AMIA Annual Symposium, New Orleans, LA. (2023)