Workshop: From Data Trust to AI Readiness
Wednesday May 6, 2026 15:30 - 17:00 R14
Workshop leader: Dmitry EtinWorkshop facilitators: Elia Lima-Walton, MD, PA, Jordan Kane, Michael Bouzinier, Tiago Taveira Gomes
To participate in this workshop, you must register your interest by clicking the "Book" button as a logged in delegate,
The purpose is to confirm that it will be a well-composed group. However, the main principle is that first come, first served.
The workshop leader will notify you if you are accepted
Only physical on-site participation is possible.
--- Booking function opens 9/3 --
As healthcare organisations prepare for broader use of AI, many discover that readiness is less about algorithms and more about whether they can trust the data that feeds them. Regulatory frameworks, clinical oversight and operational reality increasingly converge on the same questions: how was the data prepared, what assumptions were made, what changed over time and who is accountable once AI systems influence care.
This workshop focuses on the often invisible layer where trust is won or lost: data preparation and data hygiene. Participants explore how normalisation, harmonisation, cleansing and cohort definition decisions quietly shape what AI systems can learn and where they may fail. Rather than treating these as technical details, the session frames them as leadership and governance issues that directly affect risk, compliance and scalability.
Building on this foundation, the workshop connects data trust to AI readiness. Through concrete scenarios, participants examine how organisations prepare staff, governance structures and oversight processes for AI in production. The emphasis is on practical awareness, informed decision-making and identifying gaps early, not on technical implementation or legal interpretation.
Topic
Data and Information
Seminar type
On Site Only
Lecture type
Workshop
Objective of lecture
Orientation
Level of knowledge
Intermediate
Target audience
Management/decision makers
Politicians
Researchers
Healthcare professionals
Keyword
Innovation/research
Informatics/Interoperability
Conference
Vitalis
Lecturers
Dmitry Etin Workshop leader
Forome | Deggendorf Institute of Technology
Elia Lima-Walton, MD, PA Workshop facilitator
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.
Jordan Kane Workshop facilitator
Project Leader
Chalmers Industriteknik
Michael Bouzinier Workshop facilitator
Architect
Harvard University Research Computing
Tiago Taveira Gomes Workshop facilitator
Founder
SIGIL Scientific Enterprises
Tiago Taveira is a medical doctor specialized in Family Medicine, as well as a data scientist and software architect. He holds a PhD in Medical Informatics and an MSc in Artificial Intelligence, and is an invited professor in medicine, data science, medical informatics, software development, and clinical research at various universities. His current work focuses on developing core technologies for high-impact clinical research using EHR data at scale, and helping healthcare institutions become proficient in using their own data to improve patient outcomes.