Program design and contents
Contents of the Advanced Program AI & Digital Transformation in Healthcare
Central to this program is the question: “How do I deploy AI and digital transformation to sustainably strengthen my organization and healthcare as a whole?”
In five days - two blocks of two consecutive days and a concluding project day - you will work step by step toward your own answer to that question. For yourself, your organization and the greater whole.
How do we do that?
The development of AI is proceeding at an unprecedented pace. The newest insights are often not yet reflected in scientific publications. Therefore, in this program we combine a solid academic basis with current practical experience.
You will learn from a carefully selected group of experts who are at the forefront of AI and digital transformation. In interactive lectures they do not offer a retrospective of what is already known, but together we explore what is emerging now.
What topics will be the focus of the next edition (December 2025)?
Each day offers a combination of perspectives. By bringing different topics together, we challenge you to make connections between strategy and execution, technology and organization, people and system. In this way, you learn not to approach AI and digital transformation as separate themes, but to connect them to each other and to reality.
Day 1 (November 20)
- The strategy in digital transformation that does work in healthcare organizations
→ Build a strategic foundation for digital healthcare innovation that stays.
- AI in Healthcare: from Strategy to Successful Implementation
→ Learn how to translate AI in healthcare from isolated experiments to a strategic approach with lasting societal value.
- Who owns the healthcare market? Who owns the data? Who gets the profits?
→ Explore the power dynamics behind digital innovations and the public value of AI.
Day 2 (November 21)
- Digital leadership and digital competencies of healthcare employees
→ Actively drive digital literacy and create movement in your organization.
- Where does healthcare in the Netherlands stand in terms of data availability and data exchange?
→ Get insight into the state of data availability and data exchange in healthcare: who are the players, who is in charge and how are responsibilities distributed?
Day 3 (December 3)
- Digital innovations and change management: how to get everyone on board?
→ Ensure support and move with the human side of digital innovation.
- Connected care as a pillar for digital transformation
→ Remote care as a scalable AI-driven solution for care continuity.
- Knowledge-based Artificial Intelligence (AI)
→ Use existing medical knowledge as the basis for smart AI models.
- Work on your own innovation problem or choose a practice case outside your organization.
→ We make sure you are well prepared to get started.
Day 4 (December 4)
- Financing, reimbursement and scale-up of digital innovations in healthcare
→ Embed AI initiatives in policy, reimbursement and healthcare structures.
- Paradigm shifts and the need for digital transformation
→ Link AI and digital care to fundamental changes in the healthcare system.
- AI in practice: in-depth questions and customized application
→ A session tailored to the AI topics that are in your practice right now.
Day 5 (December 15)
- The innovation process at work -project day
→ Translate everything you have learned into concrete impact in your organization.
Which lecturers, among others, are involved in this program?
A word from our faculty
"AI is developing at lightning speed. What is innovative today will be self-evident tomorrow. Healthcare cannot afford to wait and see. While the pressure is increasing - due to staff shortages, aging and complexity - opportunities are also arising: AI can help make care smarter, more personal and more sustainable. But only if we deploy it strategically. In this program, we challenge you to lead the way. Not to follow what can be done, but to drive what is needed. You don't get an overview of technologies; you develop a vision of what AI should mean for your organization. You'll learn to make sharp choices, bring people along in change, and anchor digital innovation sustainably. You don't have to be a tech expert to show leadership. But you do need to understand how AI, strategy and organizational development come together. That's why we connect theory to practice and technology to the reality of healthcare transformation. You learn from pioneers inside and outside healthcare - and you work on your own task. Have you previously taken the TIAS Executive Master of Health Administration (MHA)? Then this is a natural and powerful next step. Because leadership in tomorrow's healthcare requires vision for AI - today."
