Workshop:
AI risk management and local validation

Available upon request

A hands-on, multi-stakeholder workshop to identify, analyse, and prioritise risks of implementing an AI solution in your organisation and to define practical mitigation actions. Using a risk-based approach for local validation requirements, we help you determine the steps necessary for validating your AI solution in your local context.

About the workshop

AI adoption in healthcare can bring significant benefits, but also introduces a wide range of risks, from patient safety and legal compliance to workflow disruption, vendor dependency, and technology performance issues. This workshop brings together stakeholders from across your organisation to develop a clear, actionable risk mitigation plan. Participants will explore real-world examples, map potential risks, and discuss how risks can cascade between domains.

The outcome is a shared understanding of the challenges, a documented risk inventory, and a practical action plan to ensure AI adoption in your organisation is both safe and sustainable.

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Practical details

In-house
Half-day
Group of 6–10 participants
Language: Dutch (materials in English)
On-site

Who is this for?

This course is designed for healthcare professionals leading or supporting AI adoption across IT, clinical, managerial, and strategic roles.

AI Project Leads & Department Managers

Professionals who lead AI projects or oversee the departments adopting them, and need a clear risk profile and action plan to make sure implementation is safe, sustainable and well supported.

Clinical Leads & Prospective Users

Professionals who will work with the AI solution in daily practice, bringing insight into workflows and patient safety risks that are essential for realistic mitigation and validation.

IT Leads & Clinical Informaticians

Professionals responsible for the technical side of AI adoption, from integration and infrastructure to performance monitoring, who will help design and carry out local validation.

Procurement, Compliance & Quality

Procurement teams, compliance officers and quality managers who assess vendors, regulatory requirements and quality standards, making sure risks are addressed before and after purchase.

What you will learn

Risks are mapped across seven ERM domains: Operational, Patient Safety, Strategic, Financial, Human Capital, Legal/Regulatory, and Technology.

Identify and analyse risks

Map potential risks for your AI project across seven domains, from patient safety to technology
Analyse their likelihood, impact and how risks can cascade between domains

Mitigate and monitor

Develop tailored mitigation strategies and assign clear responsibilities
Create a follow-up plan for monitoring and updating the risk profile over time

Validate locally

Understand the different types of validation and how to analyse clinical evidence
Design a validation plan that fits your organisation’s context and the specific risks of the AI system

Session structure

Part 1

Risk Management

Map potential risks across the seven ERM domains
Discuss how risks can cascade between domains
Identify potential risks for your AI project or planned procurements
Analyse likelihood, impact, and interdependencies
Develop tailored mitigation strategies and assign responsibilities
Create a follow-up plan for monitoring and updating the risk profile

Part 2

Local Validation

Explain validation types
Practice analysis of clinical evidence
Learn how to approach performance validation

Our trainers

The programme is led by the Romion Health team and complemented by international guest experts covering specific topics.

Julian Stijf

AI Coach Intern

Alexandra Castillo Paucar

Digital Marketing Intern

Cristina González Gonzalo

Consultant Artificial Intelligence

Khrystyna Faryna

Collaborating researcher, Health AI Register Pathology

Joske van der Zande

Collaborating researcher, Health AI Register Cardiovascular

Nico Frijns

AI consultant

Marlie Besouw

Collaborating researcher, Health AI Register Radiotherapy

Matina Laskou

Business Development & Marketing Coordinator

Sade Krijgsman