Description
Sickle cell disease patients are at high risk for preventable complications. Identification through computable phenotyping can mitigate these adverse consequences. We developed three algorithms and assessed performance in pediatrics, adults, and transitions from pediatric to adult care. We found equivalent performance across all age groups using ICD codes, SNOMED-CT terms and word matching, and both (PPV 88.4-94.0%; Sensitivity 89.2-100%). These algorithms can help improve monitoring and targeted interventions in this population.
Learning Objective: Learn methods for querying the electronic health record and potential consideration for generalizability across different clinical practices, including for those patients transitioning between care providers.
Authors:
Mirza Khan (Presenter)
U.S. Department of Veterans Affairs
Mark Rodeghier, Rodeghier Consultants
Robert Cronin, Vanderbilt University
Presentation Materials: