Screening for Liver Fibrosis in Metabolic Dysfunction–Associated Steatotic Liver Disease: A Population Health Perspective

Nov 07 2026
Convention Center: Bluebird Ballroom 2GH
9:45 AM - 10:45 AM

Description

This community conversation focuses on population health strategies for screening for fibrosis among those at risk for metabolic dysfunction–associated steatotic liver disease (MASLD). Screening for fibrosis among patients with MASLD has been recommended by hepatology, gastroenterology, and endocrinology societies but uptake has been limited.  Presenters with expertise in quality improvement/implementation science address strategies for improving uptake of the FIB-4 elastography pathway in different health care settings. Topics include successful strategies, challenges along the way and strategies to overcome them, limitations of the FIB-4 elastography pathway, and future directions.

Presentations

10:05 AM - 10:15 AM
Convention Center - Bluebird Ballroom 2GH

Metabolic Dysfunction–Associated Steatotic Liver Disease Fibrosis Screening: Comparing Implementation Science Strategies

Sujit Janardhan, MD, PhD, Dipl ABOM | Presenter
9:55 AM - 10:05 AM
Convention Center - Bluebird Ballroom 2GH

Metabolic Dysfunction–Associated Steatotic Liver Disease Fibrosis Screening: The Primary Care Practitioner Perspective

Rena K Fox, MD | Presenter
9:45 AM - 9:55 AM
Convention Center - Bluebird Ballroom 2GH

Metabolic Dysfunction–Associated Steatotic Liver Disease Fibrosis Screening: Barriers and Strategies

Meagan E Gray, MD | Presenter

Objectives

  • Identify key barriers to implementing metabolic dysfunctionassociated steatotic liver disease (MASLD) fibrosis risk stratification in primary care.
  • Explain how primary care workload and competing priorities can drive adoption (or nonadoption) of fibrosis risk stratification.
  • Apply practical steps to implement or optimize MASLD fibrosis risk stratification in clinical practice.
  • Describe high-yield system, workflow, and team strategies that improve uptake of MASLD fibrosis risk stratification, grounded in real-world examples.