ehr

  1. Chandelier

    Characterization and Validation of EHR Computable Phenotypes for LC Using Patient-Reported Symptoms: Nationwide RECOVER Program, 2026, Castro et al.

    Characterization and Validation of EHR Computable Phenotypes for Long COVID Using Patient-Reported Symptoms: Insights from the Nationwide RECOVER Program Abstract Objective Long COVID (LC) remains poorly understood, and there is a critical need for advanced computational tools to better...
  2. Nightsong

    Identifying commonalities and differences between EHR representations of PASC and ME/CFS in the RECOVER EHR cohort, 2025, Powers et al

    Abstract: Background Shared symptoms and biological abnormalities between post-acute sequelae of SARS-CoV-2 infection (PASC) and myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) could suggest common pathophysiological bases and would support coordinated treatment efforts. Empirical...
    • Nightsong
    • Thread
    • ehr jaime seltzer lc=me/cfs long covid machine learning mady hornig me/cfs national covid cohort collaborative pasc recover initiative recover-ehr
    • Replies: 10
    • Forum: Long Covid research
  3. forestglip

    Opportunities and Challenges in Using [EHR] Systems to Study [long COVID]: Insights From the NIH RECOVER Initiative, 2025, Mandel et al

    Opportunities and Challenges in Using Electronic Health Record Systems to Study Postacute Sequelae of SARS-CoV-2 Infection: Insights From the NIH RECOVER Initiative Hannah L Mandel, Shruti N Shah, L Charles Bailey, Thomas Carton, Yu Chen, Shari Esquenazi-Karonika, Melissa Haendel, Mady Hornig...
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