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When AI Gets it Wrong: Why Responsible AI is Healthcare’s Life Support System

Wednesday May 6, 2026 09:00 - 09:15 F2

Lecturer: Elia Lima-Walton, MD, PA

Track: Trustworthy data for trustworthy AI

Presentation reviewing the importance of trustworthy AI in healthcare. Mechanisms for trust and improved compliance in delivering care.

What is needed, why, and how to implement safely.

Language

English

Topic

Organizational Governance

Seminar type

Live + On site

Lecture type

Presentation

Objective of lecture

Tools for implementation

Level of knowledge

Advanced

Target audience

Management/decision makers
Technicians/IT/Developers
Researchers
Students
Care professionals
Healthcare professionals

Keyword

Innovation/research
Patient safety
Informatics/Interoperability

Conference

Vitalis

Lecturers

Profile image for Elia Lima-Walton, MD, PA

Elia Lima-Walton, MD, PA Lecturer

Data Science Physician, Principal Product Manager Healthcare GenAI
Mayo Clinic

Elia Suzette Lima-Walton, MD, PA is a physician executive, data science strategist, and global leader in healthcare AI with over 15 years of experience spanning clinical practice, research, and digital innovation. She currently serves as Principal Product Manager for Healthcare Generative AI at Mayo Clinic, where she leads the development of responsible, scalable AI solutions that enhance patient care, optimize workflows, and improve clinical outcomes.

Dr. Lima-Walton has held senior leadership roles at Elsevier, where she built and led global data science and clinical analytics teams, driving multimillion-dollar growth and achieving significant cost efficiencies through innovative AI and data strategies. Her work integrates machine learning, natural language processing, and governance frameworks to deliver high-impact healthcare solutions at scale.

A recognized thought leader, she serves on multiple international advisory boards focused on digital health transformation, AI ethics, and global data interoperability. She is also an active educator and mentor, collaborating with leading institutions including Columbia University and University of Oxford to advance the next generation of data science talent.