Sietske worked as a radiologist for 7 years before fully dedicating herself to her current work, which focuses on improving conditions for healthcare workers.
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AI and Digital Transformation in Healthcare
Healthcare with vision. Transformation with AI
Start date
October 29, 2026, Campus Utrecht
April 19, 2027, Campus Utrecht
Duration
2 x 2 days + project day
Language
Dutch
Costs
€ 5600
CPD points
ABAN
Rankings
TIAS Executive Education is ranked #1 in the Netherlands for participant satisfaction by the Financial Times, with a score of 8.7 out of 10.
Introduction
AI solutions that perform as intended but never become part of everyday practice. Initiatives that stall because processes are fragmented, data is unclear, or direction and leadership are missing. In healthcare, the real question is no longer what AI can do. It is whether your organization can create the conditions for AI to deliver meaningful value to employees, patients and clients, their families and caregivers, and the organization as a whole.
This program helps you answer that question. You learn to approach AI initiatives not as stand alone technology projects, but as organizational challenges that bring together strategy, data, workflows, governance, healthcare professionals, and value for patients and clients. You gain a clear understanding of what it takes to launch digital innovation, integrate it responsibly into practice, and scale it across the organization.
Download the brochure
Want to know more about costs, teachers, content, and dates? We will send the brochure directly by email.
Participant profile
This program is designed for innovation managers, program managers, CMIOs, clinical leaders, and healthcare executives who are responsible for moving AI initiatives forward. You see the potential of AI, but you also know that technology alone is not enough. You want to assess more clearly where an initiative creates value, why it stalls, and which conditions need to be in place before it can succeed.
You do not need a technical background in AI. The program helps you become a more effective catalyst for adoption by combining current research, practical frameworks, and a network of peers working through similar challenges.
Average demographics
40 years | 50% men & 50% women
Why this program
Many healthcare organizations treat AI primarily as a way to optimize existing processes, adding a new layer to the way work is already done. Yet successful AI innovation often requires a more fundamental conversation about strategy, leadership, data quality, professional autonomy, process redesign, change management, governance, and scaling.
At the same time, organizations have less and less room to wait. Workforce pressures are forcing healthcare organizations to rethink how work is organized. Employees and patients are already using digital tools, sometimes outside established policies and structures. Without a coherent approach, shadow AI emerges: applications used without governance, strategic direction, or a clear understanding of how they affect care delivery.
This program helps you create that coherent approach. Rather than focusing on one tool, it guides you through the full process of AI transformation in healthcare. You develop a clear understanding of what it takes to make AI innovation responsible, broadly supported, and practical to implement.
What will the program bring you?
You identify what is really holding an initiative back: You learn to assess AI initiatives through six stakeholder lenses, so you can spot missing conditions early and determine which conversations need to happen first.
You turn your own challenge into an actionable plan: Throughout the program, you work on a specific innovation challenge from your organization. During the project day, you translate it into an approach you can put to work right away.
You build momentum for innovation across the organization: The idea is rarely the hardest part. The challenge is creating a path to adoption. You build the skills to create buy in, engage key stakeholders, and turn resistance into momentum.
You learn alongside peers facing similar challenges: Different settings often reveal the same underlying patterns. By examining one another's cases, you uncover insights and possible solutions that would be difficult to reach on your own.
About this program
The program spans five days across three blocks. You learn from academics with deep expertise in strategy, innovation, and organizational change, as well as practitioners who are currently advancing AI transformation and digital care. These include hospital executives, AI developers, policymakers, and clinical researchers. Because the field is evolving rapidly, the program draws on current research, examples, and cases from practice.
The program brings together the factors that determine whether AI transformation takes hold in healthcare practice. You explore what it takes to move an AI initiative forward: strategic direction, data, governance, ethics, digital sovereignty, funding, scaling, digital leadership, collaboration, organizational buy in, and alignment with care delivery. These are addressed not as separate topics, but as interdependent conditions for responsible innovation.
You apply what you learn to a challenge within your own organization. You begin by defining the problem more precisely: What healthcare challenge are you trying to solve with AI? Who should benefit? What is currently preventing successful adoption? During the project day, you turn those answers into an initial approach that you can continue developing within your organization.
Stakeholder perspectives are a central thread throughout the program. Digital innovation often stalls because one critical perspective has been overlooked. You therefore learn to assess every initiative through six lenses:
The healthcare professional: What will actually change in day to day work, and is that realistic given everything else professionals are already being asked to do?
The patient or client: Who is this really for? What will become better, easier, or safer for them? What support will they need to use the technology with confidence?
The innovation lead: What assumptions are you bringing to the initiative? Where are your blind spots? How much influence and authority do you have to move it forward?
The data and technology partner: What will the vendor, IT department, or EHR provider deliver, and what dependencies may be emerging that you cannot yet see?
The internal organization: Are IT, HR, quality, innovation, and research working together or in parallel? Who has the authority to make decisions?
The external environment: What requirements are set by insurers, regulators, and policymakers, and how should your organization respond?
You are likely familiar with each of these perspectives on its own. The value of this program lies in learning how to weigh them together when assessing a specific initiative. You develop an integrated perspective that helps you understand AI innovation more fully and move it forward responsibly within your organization.
Download the brochure
Want to know more about costs, teachers, content, and dates? We will send the brochure directly by email.
Woody van Olffen
Professor
Woody van Olffen's scientific research has focused on a wide range of organizational topics, such as team composition, organizational commitment, fairness, and location choice.
Nicky Hekster
Lecturer
He is an expert in the field of artificial intelligence, particularly in the areas of healthcare and life sciences.
Teachers program
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