Responsible AI Implementation Lead

Next course start (Dutch edition) :
January, 2027

Lead the responsible adoption of AI in your healthcare organisation. This practice-oriented, 5-day course (spread over 6 months) equips project leaders and AI champions with the skills, tools, and knowledge needed to successfully implement AI in real-world healthcare settings.

About the course

Healthcare organisations are rapidly introducing AI solutions into daily practice, but successful and responsible implementation requires more than just technology. From understanding the AI market to aligning with strategic goals, and from ensuring regulatory compliance to engaging stakeholders, this course covers the entire AI lifecycle.

Guided by experienced AI project leaders and (international) guest experts, participants work on a real-world or hypothetical AI project over 5 months. The programme includes peer learning, coaching, and project work so participants can directly apply knowledge to their own organisational context. Upon completion, participants earn the Responsible AI Implementation Lead in Healthcare certificate and join an alumni network of Responsible AI implementation leaders in healthcare.

See course dates next editions 2026/27

Next course start (Dutch edition): January 2027.

Practical details

  • 5 in-person days over 6 months
  • Practice-oriented & tailored to individual needs
  • Group of 6–10 participants
  • Alumni event included
  • Language: Dutch (materials in English)
  • Location: Utrecht, The Netherlands

This course is also offered in-house. Contact us to learn more

€4,900
ex. VAT per participant

Incl. location, lunch, snacks & course material

Who is this for?

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

IT & AI Project Leaders

Healthcare leaders managing AI procurement, system integration, and clinical/technical implementation across clinical environments.

Clinical Professionals

Professionals bridging clinical practice and digital health transformation, translating AI capabilities into safe and effective patient care workflows.

Department managers & Policy Leads

AI project leaders, innovation managers, programme managers overseeing AI adoption within their department, ensuring alignment with clinical goals and staff readiness.

Strategy & Governance Professionals

Healthcare executives and advisors driving organisational AI strategy, ethics, and regulatory compliance at institutional level.

What you will learn

Build the end-to-end skills to lead responsible AI projects — from strategy and procurement to implementation, evaluation, and certification.

AI Basics

  • Explain core principles of AI and how models are trained, validated and deployed in healthcare practice
  • Understand the possibilities of Large Language Models (LLMs) in healthcare
  • Recognise risks around data quality, bias, privacy and transparency

Regulation and ethical dilemmas of AI

  • Understand the difference between AI systems and medical AI systems
  • Apply AI Act, MDT & GDPR to your AI project
  • Understand the obligations under the AI Act for deployers and providers of AI systems
  • Learn to deal with ethical, privacy and liability issues in AI projects

Leading AI implementation

  • Align AI goals with your organisation’s strategy and set up an AI governance framework
  • Critically assess vendor offerings and define procurement requirements
  • Apply validation and implementation frameworks in your own organisation

Course curriculum

Five in-person days over 5 months, one per month, combining expert sessions, peer learning, and individual coaching.
day 1

Your AI project &organisation

  • Stakeholder communication strategies
  • Align AI goals with organisational strategy
  • Understanding types of AI solutions
  • Define an AI governance framework for your organisation
day 2

Everything about AI procurement

  • Understand the AI market & trends
  • Critically assess vendor offerings
  • Understanding types of AI solutions
day 3

Successful AI implementation

  • Apply validation and implementation frameworks locally
  • Understand the risks of deployment choices
  • Understanding types of AI solutions
day 4

Evaluation & impact of AI

  • Measure AI effectiveness in real-world environments
  • Address ethical & regulatory considerations
  • Understanding types of AI solutions
day 5

Certification: Responsible AI Implementation Lead

  • Achieve our AI escape room
  • Present your AI project to a professional audience
  • Demonstrate responsible leadership skills
  • Demonstrate responsible leadership skills
After the Course

Alumni event

  • A networking afternoon to exchange project learnings, celebrate your achievements, and stay connected with your peer group.

What you will  receive

Upon successful completion, participants receive recognition, resources, and community access to sustain their AI leadership journey.
Official Certificate
Upon successful completion of the course, participants receive the Responsible AI Implementation Lead in Healthcare certificate, recognising the knowledge and skills developed throughout the programme.
Accreditation
Upon successful completion of the course, participants receive the Responsible AI Implementation Lead in Healthcare certificate, recognising the knowledge and skills developed throughout the programme.
Course Materials
Participants receive practical frameworks, templates, and toolkits from the programme that they can apply directly to AI evaluation, implementation planning, and responsible adoption in their own healthcare organisation.
Alumni Network
After completing the course, participants join a network of AI leaders in healthcare, creating opportunities to exchange experiences, share challenges, and continue learning from peers.
Organisational Benefits
After completing the course, participants join a network of AI leaders in healthcare, creating opportunities to exchange experiences, share challenges, and continue learning from peers.

Our trainers

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

Sade Krijgsman

Consultant Artificial Intelligence

Kicky van Leeuwen

Managing Partner

Kristyn van der Veen

Consultant AI Literacy Programmes

Stephan Romeijn

Managing Partner

What participants say

It gave me the confidence to ask critical questions in meetings about security or legislation, where I might otherwise have felt less comfortable. I now recognise the terms and know what they are about.

Kiki de Waal

Ai project lead, GGZ NHN

I think that prompting us to think our own processes is the most valuable thing we will take away

Project Manager, Arts en Zorg