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ABSTRACT: Objective
Familial Hypercholesterolemia (FH) is underdiagnosed and undertreated. Several electronic health record (EHR) algorithms have been developed to improve identification of patients with FH. The approach to improving downstream processes of care and implementation of appropriate treatment after identification of these individuals is unclear.Methods
Individuals at UT Southwestern Medical Center with an LDL-C ≥ 190mg/dL (n = 8368) ever recorded in the EHR were included in an FH registry. As part of a QI program, random individuals from the registry deemed to possibly have FH were contacted via (1) MyChart message, (2) phone call, (3) letter, and/or (4) InBasket message to their PCP to notify them of the potential FH diagnosis, higher risk of ASCVD events, and of
SUBMITTER: Lee H
PROVIDER: S-EPMC11851175 | biostudies-literature | 2025 Mar
REPOSITORIES: biostudies-literature