Modern hepatology regularly uses diagnostic and prognostic tools in clinical practice. Artificial intelligence (AI), telehealth, clinical decision support (CDS), and remote monitoring using wearable technology are growing fields of research that can be leveraged to advance patient care and allow care teams to work more efficiently with better, more nuanced data. This session provides an overview of recent and upcoming technological innovations in the management of patients with chronic liver disease. Targeting both clinicians and researchers, this session focuses on 4 primary topics: AI-powered electronic health records, CDS tools, telehealth, and wearable technology/remote monitoring. Presentations touch on: current shortcomings in patient care and how technological applications may improve it; ongoing research; resources currently available to clinicians; future technology; and barriers to use in clinical practice. Where applicable, presenters include an overview of the US Food and Drug Administration approval process (eg, for wearables/remote monitoring tools) and privacy concerns (eg, for AI applications). This session aims to interweave the incredible promise of the future of health care with the difficulties of the present.
Presentations
11:00 AM - 11:15 AM
Nov
10
2025
Washington, D.C.
Leveraging Artificial Intelligence Powered Electronic Health Records for Transforming Everyday Clinical Practice in Hepatology
Jin Ge, MD, MBA, Presenter
11:15 AM - 11:30 AM
Nov
10
2025
Washington, D.C.
Advancing Hepatology Care With Clinical Decision Support: Bridging Data and Practice
Ashley L Spann, MD, MS, Presenter
11:30 AM - 11:45 AM
Nov
10
2025
Washington, D.C.
Transforming Hepatology Care Through Telehealth Innovation
Jeremy Louissaint, MD, Presenter
11:45 AM - 12:00 PM
Nov
10
2025
Washington, D.C.
Remote Monitoring in Hepatology: The Role of Wearable Technology
Adam Buckholz, MD MS, Presenter
Objectives
List technological innovations and ongoing research in the use of technology for the care of patients with liver disease.
Describe patient-centered technology advancements that can be implemented into current and future care pathways.
Outline the current controversies and barriers to implementation regarding remote monitoring, artificial intelligence integration, and other current/future technology-based clinical tools.