PANEL: Who Signs Off on AI in Healthcare
Wednesday May 6, 2026 09:15 - 10:00 YE - lokal ej bestämd
Moderator: Dmitry EtinPanelists: Elia Lima-Walton, MD, PA, Michael Bouzinier, Tiago Taveira Gomes
Track: Trustworthy data for trustworthy AI
When AI systems are tested in pilots, trust is often implicit and responsibility diffuse. Once AI influences real clinical decisions, that changes. Leaders are asked to sign off on systems that evolve over time, depend on complex data pipelines and may fail in ways that are hard to predict. This panel focuses on that transition point, where AI stops being an experiment and becomes institutional infrastructure.
Drawing on experience from mature clinical organisations and university hospitals, the discussion explores how sign-off works in practice. Who decides that an AI system is ready for production use? What role do data quality, provenance and monitoring play once models are live? How are staff prepared to work with AI systems that may be right most of the time, but not always?
Rather than revisiting strategy or regulation in isolation, the panel concentrates on organisational reality. It examines accountability, escalation and evidence from a leadership perspective and highlights where trust most often breaks as AI scales. Participants will leave with a better understanding of what it actually means to approve and operate AI responsibly in healthcare settings.
Topic
Data and Information
Seminar type
Live + On site
Lecture type
Panel
Objective of lecture
Tools for implementation
Level of knowledge
Intermediate
Target audience
Management/decision makers
Politicians
Researchers
Healthcare professionals
Keyword
Informatics/Interoperability
Lecturers
Dmitry Etin Moderator
Forome | Deggendorf Institute of Technology
Elia Lima-Walton, MD, PA Panelist
Elia Lima-Walton, MD, PA, is a physician informaticist, data science executive, and leader in generative AI product development with over twelve years of experience in healthcare. Currently serving as Principal Product Manager at Mayo Clinic, she spearheads the design and incubation of high-impact data science and generative AI products, focusing on clinical practice, education, and research. Elia leads transformative machine learning, natural language processing, and generative AI initiatives to enhance patient care, while overseeing the development of scalable data science architectures across the organization.
Before joining Mayo Clinic, Dr. Elia held several leadership positions at Elsevier, Inc., including Director of Data Science and Clinical Analytics. In these roles, she collaborated with executive leadership to enrich product offerings and align data initiatives with business and technical objectives. She also managed clinical analytics teams, led talent acquisition pipelines, and contributed clinical and data science expertise to the development of Clinical Decision Support products, fostering the growth of ontologies and knowledge graphs.
Earlier in her career, Dr. Elia gained experience in clinical research and healthcare at institutions such as Biopharma Informatic, Inc., Spring Branch Health Ministry, the Icahn School of Medicine at Mount Sinai, and the University of Texas MD Anderson Cancer Center. She is also a sought-after advisor and speaker at international conferences and has mentored graduate students at Columbia University, Oxford University, Johns Hopkins University, and the University of Amsterdam. Elia holds a Doctor of Medicine from New York Medical College and a Título de Médico Cirujano from Universidad Autónoma de Guadalajara, with additional certifications in executive leadership and in applied AI from Harvard Business School and Cornell University. She is passionate about healthcare AI and regulatory compliance, and advises international organizations on healthcare AI, interoperability, and equity.
Michael Bouzinier Panelist
Architect
Harvard University Research Computing
Tiago Taveira Gomes Panelist
Founder
SIGIL Scientific Enterprises
Tiago Taveira-Gomes, MD, PhD, Founder and CEO of Sigil Scientific Enterprises, is a pioneer in healthcare technology and AI. With a medical degree and PhD from the University of Porto, plus a Master's in Information Engineering, he specializes in real-world evidence and AI-driven health solutions. A General and Family Medicine specialist and Visiting Professor at the University of Porto, Dr Tiago Taveira-Gomes leads innovative software development for health data analytics, empowering global research and clinical insights.