Advanced Fibrosis Detection and a Predictive Diagnostic Model for Metabolic Dysfunction-associated Steatotic Liver Disease (MASLD) in Primary Care

Date Added
July 3rd, 2025
PRO Number
Pro00145783
Researcher
Andrew Schreiner

List of Studies


Keywords
Diabetes, Liver, Obesity
Summary

This proposal evaluates the implementation of a novel, non-interruptive, electronic health record alert for metabolic dysfunction-associated steatotic liver disease (MASLD) fibrosis risk assessment in primary care patients with MASLD using a stepped wedge, cluster randomized design. We will evaluate the clinical outcome of advanced liver fibrosis detection and the implementation outcomes of adoption, penetration, fidelity, and sustainability. This work will generate generalizable data to dramatically enhance MASLD management in primary care.

Institution
MUSC
Recruitment Contact
Chloe Cooper
843-876-0448
coopechl@musc.edu



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