​Health AI Hub Collaboratory Rounds bring together experts and practitioners to share and explore various aspects of AI lifecycle management in healthcare. These monthly gatherings are designed to keep you informed about the latest trends, best practices, and challenges in the dynamic field of healthcare AI.

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Large Language Models (LLMs) are increasingly integrated into electronic health record (EHR) systems, patient communications, and clinical decision support. Benefits include efficiency and enhanced information synthesis; however, deployments reveal challenges in accuracy, usability, integration, and clinician trust. This panel brings physician leaders with experience in implementing LLMs to discuss real-world lessons and strategies for ensuring AI accuracy, bias mitigation, regulatory compliance, and workflow integration, emphasizing future research needs.

​Speakers

​Yiye Zhang, PhD, MS

​Dr. Yiye Zhang PhD, MS, is an Associate Professor in the Department of Population Health Sciences and Emergency Medicine at Weill Cornell Medicine, a graduate faculty member at Cornell Systems Engineering, and Informatics Director of Clinical Decision Support at NewYork-Presbyterian Hospital. Her expertise lies in the development, evaluation, and implementation of artificial intelligence (AI) for clinical decision support (CDS). She has been involved as principal investigator roles in multiple federally funded AI implementation and evaluation studies at Weill Cornell Medicine and NewYork-Presbyterian Hospital. Yiye is the Editor in Chief of Nature Portfolio Journal (NPJ) Health Systems.

​Yasir Tarabichi,  MD, MSCR, FAMIA

​Yasir Tarabichi, MD, MSCR, FAMIA, is a board-certified clinical informaticist, pulmonologist, and intensivist who serves as Chief Health AI Officer (CHAIO) at MetroHealth and Chief Medical Informatics Officer (CMIO) at Ovatient. He is an executive leader focused on advancing the safe, scalable, and value-driven implementation of artificial intelligence (AI) across healthcare systems.

​As CHAIO, Dr. Tarabichi oversees the full lifecycle of AI implementation. He has established system-wide frameworks that enable responsible AI adoption at scale, aligning clinical, operational, and technical stakeholders while ensuring measurable impact, safety, and equity. His work has translated AI from isolated pilots into workflow-embedded solutions.

​At Ovatient, an intrapreneurial virtual care collaborative launched by MetroHealth and the MUSC, he leads informatics strategy for a multi-system, virtual-first care model. His work centers on interoperability-first architectures that enable coordinated care and seamless data exchange across disparate EHR systems and partner organizations, supporting a “no wrong door” approach to patient access and longitudinal care.

​Dr. Tarabichi also serves as Director of Clinical Research Informatics, where he has built the enterprise data and analytics foundation enabling AI at scale. His work has focused on transforming fragmented clinical data into a standardized, governed, and accessible asset - supporting evidence generation, self-service analytics, and AI-driven clinical decision support.

​Brian Patterson, MD, MPH

​Brian Patterson, MD, MPH, is a tenured Associate Professor in the BerbeeWalsh Department of Emergency Medicine, as well as the inaugural Medical Informatics Director for Predictive Analytics and Clinical Decision Support at UW Health. In this role, Dr. Patterson works with hospital leadership to best use information technology to support clinical, educational, and research priorities. He advises on a range of issues, including optimizing the design, implementation, dissemination, evaluation, and routine use of clinical decision support and AI to improve healthcare quality, operational efficiency, educational programs, and research. 

​Dr. Patterson’s research interests are in clinical informatics and geriatric emergency medicine. His work aims to use routinely collected clinical data to generate actionable insights to improve the quality and safety of emergency care for older adults. To achieve these goals, Dr. Patterson works in collaboration with investigators from the business and engineering schools as well as in the department of biostatistics and medical informatics.  

​Dr.  Patterson graduated from Pennsylvania State University with a Bachelor of Science in Bioengineering and went on to complete a master’s degree in public health and a medical degree at the Northwestern University Feinberg School of Medicine. He continued at Northwestern for his residency training in emergency medicine, where he served as chief resident.