Project Structure

Work Packages

The project structure and organization

WP1

Coordination

Lead: Medical Data Works B.V.

Ensuring effective project management, overseeing project coordination and objective adherence, managing documentation and communication.

Objectives:

Provide overall management of the consortium
Oversee project coordination and objective adherence
Document management and communication
Dissemination of project results
Manage ethical, legal and societal aspects (ELSA)
Data and software management
Security & privacy oversight
Intellectual property and exploitation management

WP2

Data

Lead: Health-RI

Making health data Findable, Accessible, Interoperable, and Reusable (FAIR) within a federated setting across health organizations.

Objectives:

Make health data FAIR within a federated setting
Enhance data privacy, security, and compliance
Optimize data utility for AI development
Enable data sharing without moving sensitive data
Implement standardized data formats and vocabularies

WP3

Infrastructure

Lead: Philips

Establishing, deploying, and adapting federated data infrastructures to support the Health-AI project's AI development and validation process.

Objectives:

Build technical foundation for secure federated AI model training
Enable secure exchange of AI algorithms and results
Support AI development and validation infrastructure
Implement privacy-preserving computation environments
Ensure scalable and reliable infrastructure

WP4

AI

Lead: Maastricht University

To develop, adapt, and implement AI algorithms for federated AI development and validation in the context of health applications, encompassing literature reviews, software development, algorithm implementation and defining compelling use cases.

Objectives:

Develop open-source federated AI software
Validate AI algorithms using real-world use cases and data
Fine-tune models for clinical applicability
Ensure AI transparency and explainability
Create reusable AI components for broader industry application