Nizar Talaat, MD

Professional Background

I am a quadruple board-certified physician in Internal Medicine, Gastroenterology, Transplant Hepatology, and Clinical Informatics. As Assistant Professor at the University of Kansas Health System, I lead strategic initiatives at the intersection of transplant medicine and digital health. I currently serve as the Solid Organ Transplant Informatics Lead and Gastroenterology and Hepatology Informatics Officer, roles in which I have spearheaded department and division-level improvements in clinical workflows, EHR optimization, and regulatory data integrity across our transplant and hepatology programs.
My clinical focus is advanced liver disease, liver transplantation and clinical informatics supported by training at Mayo Clinic, East Carolina University, and a research fellowship at the University of Michigan. I'm heavily involved in clinical informatics department and has been part of several enterprise-wide initiatives. I bring a systems-based approach to care delivery, combining informatics and clinical expertise to improve patient outcomes, streamline complex transplant pathways, and ensure compliance with national standards.

I actively contribute to institutional innovation, including the design and implementation of transplant-specific decision support tools, real-time dashboards, and structured documentation that enhances care coordination and operational efficiency.

I am also a core faculty member for the Gastroenterology Fellowship Program, where I contribute to curriculum development, fellow mentorship, and clinical informatics education. Through my combined roles, I aim to advance academic excellence, digital transformation, and high-value, patient-centered transplant care.

I currently serve as a board member on the Hepatology Steering Board within Epic which actively develop and publish nationwide tools and pathways to assist clinicians managing patients with liver. Within the AASLD, I'm a founding and active member of the Hepatology Informatics group.

• MBBS, Bachelor of Medicine, Bachelor of Surgery, University of Khartoum, Khartoum, Sudan
• Residency, Internal Medicine, Oakwood Hospital and Medical Center. Dearborn, MI, Dearborn, Michigan
• Post Doctoral Fellowship, Hepatology, University of Michigan. Ann Arbor, Michigan, Ann Arbor, Michigan
• Clinical Fellowship, Hepatology, University of Missouri. Columbia, Missouri., Columbi, Missouri
• Clinical Fellowship, Gastroenterology, East Carolina University. Greenville, North Carolina, Greenville, North Carolina
• Clinical Fellowship, Transplant Hepatology, Mayo Clinic. Rochester, Minnesota, Rochester, Minnesota

• European Association for study of liver disease (EASL), Member, 2021 - Present
• American Association for the Study of Liver disease (AASLD), Member, 2012 - Present
• Sudanese American Medical Assosciation (SAMA), Member, 2011 - Present

Research

Overview

My research focuses on optimizing care delivery and outcomes in liver disease and solid organ transplantation through the integration of clinical informatics, population health, and real-world evidence. I am particularly interested in leveraging electronic health record (EHR) data and decision support tools to improve transplant evaluation pathways, adherence to cirrhosis quality measures, and predictive modeling in hepatology.
Current projects include serving as a sub-investigator on multicenter clinical trials evaluating novel therapeutics for metabolic dysfunction-associated steatohepatitis (MASH) and cancer immunotherapy in patients with autoimmune liver disease. I am also involved in large-scale observational cohorts examining real-world trends in chronic liver disease management, disparities in screening and access, and the impact of digital tools on cirrhosis care.
My past work has addressed racial and ethnic disparities in hepatocellular carcinoma, colorectal cancer screening in underrepresented populations, and EMR-based quality improvement in cirrhosis. Through ongoing collaborations in transplant informatics and hepatology research, I aim to drive data-informed interventions that are clinically impactful, scalable, and equitable.