Journal of the American Medical Informatics Association : JAMIA

Identifying Long COVID Using Patient Symptoms in Electronic Health Records: Findings from the Nationwide RECOVER Program

Updated

Abstract

Advanced computational tools may help identify and characterize Long COVID patients using symptom reports and electronic health records.

  • Summarized symptom reports from RECOVER-Adult cohort participants are linked to electronic health record (EHR) data.
  • The approach focuses on better understanding the characteristics of Long COVID patients.
  • A computable phenotype algorithm is being trained to enhance the identification of Long COVID.
  • Current knowledge about Long COVID remains limited, indicating a critical need for improved diagnostic tools.

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