Jin Ge, MD, MBA Named Director of Clinical AI for the Division of Gastroenterology
The UCSF Division of Clinical Informatics and Digital Transformation (DoC-IT) is delighted to announce that Jin Ge, MD, MBA, has been appointed as the inaugural Director of Clinical Artificial Intelligence for the Division of Gastroenterology in the Department of Medicine (DOM). In this role, he will lead efforts to integrate AI technologies into clinical practice and research, enhancing patient care, optimizing workflows, and advancing operational efficiency within gastroenterology and hepatology.
Jin’s appointment is the first role of its kind within a DOM division and reflects the division’s forward-thinking approach to AI in clinical medicine. As Director of Clinical AI, he will develop and execute a vision for AI integration specific to GI and liver diseases, ensuring alignment with the goals of the division and DOM. He will also collaborate with faculty and trainees to identify high-impact AI use cases, assess clinical needs, and establish key performance indicators for AI initiatives.
As an assistant professor of medicine in residence for the Division of Gastroenterology and DoC-IT, Jin brings deep expertise to this role as a gastroenterologist and transplant hepatologist, and an NIH-funded clinical researcher. His research focuses on electronic health record-based interventions as well as using clinical informatics, data science, and AI to improve care for patients with cirrhosis and other liver diseases, making this role a natural extension of his work.
"As an academic institution, UCSF should be at the forefront of developing AI for healthcare while ensuring its safe, effective use in real-world clinical settings. There’s often a gap between what AI is expected to do and how it actually performs in the clinical setting. My role in this hybrid research-clinical position is to help bridge that divide, transforming innovative ideas into practical tools that improve patient care."
Jin Ge, MD, MBA
Director of Clinical AI, Division of Gastroenterology and Hepatology
Assistant Professor of Medicine in Residence, Division of Gastroenterology and Hepatology and the Division of Clinical Informatics and Digital Transformation (DoC-IT)
In the near term, Jin will focus on piloting AI-driven tools that enhance clinician efficiency and effectiveness. His long-term vision is to drive research demonstrating how AI can lead to better patient outcomes, positioning UCSF as a leader in AI-assisted gastroenterology and hepatology care.
His work will include collaborations, consultations, and projects such as developing an AI-augmented endoscopy triage system, implementing an e-consult platform for liver diseases, and exploring the integration of OpenAI’s latest foundation models into UCSF’s clinical workflows. He will also work closely with the UCSF AI Tiger Team, UCSF Health AI Steering Committee, and other governance bodies to ensure thoughtful prioritization and implementation of gastroenterology-focused AI initiatives.
Jin received his BSE from Princeton University and his combined MD and MBA from the Perelman School of Medicine and the Wharton School at the University of Pennsylvania. He completed a residency in internal medicine, fellowships in gastroenterology and transplant hepatology, and a certificate program in advanced clinical research training, with a focus on data science at UCSF.
Please join us in congratulating Jin on his new role and in supporting his efforts to bring innovative AI solutions to patient care at UCSF.
About the UCSF Division of Clinical Informatics and Digital Transformation (DoC-IT)
DoC-IT serves as the academic home for applied clinical informatics researchers within the UCSF Department of Medicine. We also serve as a coordinating entity with key internal and external digital stakeholders across all UCSF mission areas, schools, departments, and divisions. Clinical informatics is approached as a multidisciplinary field that involves the use of technology by a broad spectrum of health professionals, patients, and other stakeholders.
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