Knowledge infrastructure for medicine
CUIZ builds a central digital infrastructure for collecting, structuring, and continuously updating medical knowledge. The goal is to improve access to evidence-based information for clinical practice and reduce the time needed to work with the scientific literature.
Clinical decision support systems
CUIZ develops AI tools that serve as a supportive layer for clinical decision-making. The systems provide clear summaries of relevant information, including references to sources, and help clinicians navigate complex situations without replacing their professional judgement.
Validation and control of AI outputs
Part of CUIZ's work is research and development of methods to verify the reliability, accuracy, and limits of AI systems in healthcare. The focus is on transparency, traceability of sources, and preventing erroneous or misleading outputs.
Safe handling of health data
CUIZ creates the technical and methodological foundation for working with health data in line with current legislation and ethical standards. It focuses on privacy protection, data minimization, and responsible use of sensitive information when developing AI systems.
Education and professional outreach
CUIZ is dedicated to educating healthcare professionals, students, and institutions about the use of artificial intelligence in healthcare. The aim is to strengthen understanding of both the possibilities and limitations of AI and to support its safe and well-informed adoption in practice.
Designed in collaboration with experts.
Built in line with ethical principles.
Focused on long-term benefit for healthcare. CUIZ develops an open infrastructure that aims to connect scientific knowledge, clinical practice, and artificial intelligence in a way that is transparent, auditable, and socially responsible.
Readiness framework for responsible AI in healthcare
CUIZ develops a value and methodological framework that describes the key prerequisites for safe, ethical and meaningful use of artificial intelligence in healthcare. The framework is not a scoring tool but a way to systematically name the areas that need to be in balance so that AI adoption does not create hidden risks.
Key areas of the framework
How CUIZ uses the framework
- The framework serves as a shared reference point for public institutions, healthcare providers, research teams and policy makers.
- CUIZ uses it to design research and pilot projects and to formulate methodologies and recommendations.
- It supports strategic planning in the public sector and the preparation of inputs for national and European funding programs.
- It functions as a tool for expert discussion, education and outreach on AI adoption in healthcare.
- It helps identify areas where AI is ready to be developed and areas where rules, understanding or infrastructure must first be strengthened.
Benefits
- Better orientation of institutions in the complex topic of AI in healthcare.
- Reduced systemic risks when introducing new technologies.
- Strengthened trust of healthcare professionals, patients and the public in the responsible use of AI.
- Long‑term, sustainable development of AI in healthcare in the public interest.