Workshop: From Data Trust to AI Readiness

Workshop: From Data Trust to AI Readiness Passed

Wednesday May 6, 2026 15:30 - 17:00 R14

Workshop leader: Tiago Taveira Gomes
Workshop facilitators: Dmitry Etin, Elia Lima-Walton, MD, PA, Jordan Kane, Michael Bouzinier

Track: Workshops , Trustworthy data for trustworthy AI

To participate in this workshop, you must click the "Book" button as a logged in delegate,

Only physical on-site participation is possible.

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.

Language

English

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

Tiago Taveira Gomes Workshop leader

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.

Dmitry Etin Workshop facilitator

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

I want to improve patient care by driving better use of health data:

I design and implement frameworks for privacy, curation, and analysis of health data.
And I manage technology and culture projects that improve health data analysis.

I earned my PhD in rare disease and have worked across commercialisation in medicines, digital health and RWE, including supporting the design and implementation of health data analytics platforms and networks in Asia and Europe.

Michael Bouzinier Workshop facilitator

Architect
Harvard University Research Computing

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