Health Equity, Care Models, and Predictive Tools in Hepatology

Description

This session addresses disparities and structural barriers in liver disease care, along with predictive/ML-based tools and novel care delivery models (telehealth, quality measures) to improve outcomes.

Presentations

5:00 PM - 5:15 PM
Convention Center - Bluebird Ballroom 3DEF
Recorded session

Sociodemographic and Structural Barriers Among Individuals with Hepatitis B in the US: Analysis of the All of Us Database

Xiaohan Ying, MD | Abstract Presenter
5:15 PM - 5:30 PM
Convention Center - Bluebird Ballroom 3DEF
Recorded session

Telehealth vs In-Person Early Palliative Care for Patients with Cirrhosis: Results from the PAL-LIVER Multi-Center Trial

Manisha Verma, MD, MPH | Abstract Presenter
5:30 PM - 5:45 PM
Convention Center - Bluebird Ballroom 3DEF
Recorded session

HEPATOCELLULAR CARCINOMA IN INCARCERATED INDIVIDUALS: PREVALENCE, RISK FACTORS, AND TRENDS IN A LARGE U.S. CORRECTIONAL COHORT, 2015–2023

Mahnur Haider, MD | Abstract Presenter
5:45 PM - 6:00 PM
Convention Center - Bluebird Ballroom 3DEF
Recorded session

Liver Transplant Quality Measures Affect Health Outcomes: A Multicenter Analysis of the Consortium for the Holistic Assessment of Risk in Transplant

Jacqueline B Henson, MD | Abstract Presenter
6:00 PM - 6:15 PM
Convention Center - Bluebird Ballroom 3DEF
Recorded session

Machine Learning-Based Phenotyping of Cryptogenic Hepatocellular Injury in the US Adult Population

Kartik Dapke, MD | Abstract Presenter
6:15 PM - 6:30 PM
Convention Center - Bluebird Ballroom 3DEF
Recorded session

Sequential Algorithms Using FIB-4, Followed by VCTE or ELF to Detect Advanced Fibrosis: Validation of Risk Stratification Strategy in the United States (U.S.) Primary Care Setting

Zobair M Younossi, MD, MPH, FAASLD | Abstract Presenter

Objectives

  • Recognize how sociodemographic, structural, and health system factors influence access to care and outcomes in patients with liver disease
  • Evaluate emerging approaches to improve liver disease diagnosis, risk stratification, and clinical decision-making, including noninvasive testing and machine learningbased tools
  • Discuss innovative models of care and quality improvement strategies designed to enhance patient-centered outcomes across diverse liver disease populations