VVT en de kansen van AI – Project Completion Update
The VVT en de kansen van AI project has officially come to an end, marking the completion of an ambitious multi-year effort to help VVT (nursing, care, and home-care) organizations take their first steps toward responsible and effective AI innovation. The project brought together care professionals, data experts, legal specialists, and researchers to explore how data from different systems can be combined to support meaningful AI applications in daily care practice.
What the Project Was About
The project focused on a central challenge in the VVT sector:
How can care organizations responsibly prepare, structure, and use their data to develop AI prototypes that genuinely support residents, clients, and healthcare professionals?
To answer that question, the project first worked on understanding the data landscape within VVT organizations so they were able to explore opportunities for AI that are realistic and valuable in care contexts. Next, we identified the technical, organizational, and legal conditions needed for experimentation so we could create a practical, step-by-step approach that care organizations can use themselves.
The goal was not to build production-ready AI systems, but to guide organizations from an initial idea up to a testable prototype—roughly up to Technology Readiness Level 5 (TRL 5).
Three Use Cases Successfully Completed
Throughout the project, three concrete use cases were developed and completed with participating VVT organizations. These use cases explored different forms of data-driven AI, providing real-world insights into data accessibility and preparation and interdisciplinary collaboration between care, ICT, innovation, and management. They gave us more insight into how to formulate a useful AI question and what is realistically possible with current data and technology.
Together, these use cases formed the foundation for the project’s most important outcome:
a Blueprint that translates all lessons learned into a clear, accessible, and actionable guide.
Strong Focus on Legal and Ethical Responsibility
Working with health data and AI naturally raises legal and ethical questions. During the project, a significant amount of learning centered on data protection and privacy requirements, how to establish a legal basis for combining and analyzing data, what responsible experimentation looks like and transparency, accountability, and proportionality.
To support organizations in this area, Colette Cuijpers – Professor of Law and Digital Technology at the Juridische Hogeschool Avans–Fontys – developed a dedicated Legal Accountability Document.
This document, included as an attachment within the Blueprint, helps VVT organizations understand the legal framework and provides concrete guidance for conducting responsible AI research and prototyping.
A Clear Path Forward for the VVT Sector
With the project now completed, VVT organizations have access to a structured Blueprint to guide AI exploration, practical insights from three real use cases and a comprehensive legal accountability document.
Together, these outcomes provide the sector with a strong foundation to continue developing AI in a responsible, meaningful, and practice-driven way.