Work packages and milestones overview
Project overview
Work Package 1
Project Management
[M1-M24]
Work Package 1 (WP1) ensures the smooth operation of the project in terms of strategic, day-to-day management and communication with the Research and Innovation Foundation of Cyprus.
Lead: 3aHealth
Work Package 3
System Architecture, Functional and Ethical Requirements
[M1-M9]
Work Package 3 (WP3) aims to establish a robust foundation for the development of a healthcare system that not only meets the technical requirements but also prioritizes ethical, legal, and regulatory considerations essential for the safe and effective deployment of AI and ML technologies in healthcare settings.
Lead: CYENS CoE
Work Package 5
System Integration, Pilot Deployment and Validation
[M13-M24]
Work Package 5 (WP5) focuses on integrating AI-based precision tracheostomy placement tools into 3aHealth’s EHR system, ensuring seamless interoperability. It involves developing data acquisition interfaces, APIs, and user-friendly interfaces following UI/UX principles for clinical acceptance and ease of training. WP5 oversees deployment in clinical settings, refining the system based on feedback and evaluating performance against predefined KPIs. Lessons learned will inform wider adoption in standard clinical practice.
Lead: 3aHealth
Work Package 2
Dissemination & Communication Activities
[M1-M24]
Work Package 2 (WP2) focuses on disseminating project progress and outcomes to scientific, clinical, and industry communities through publications and conferences. A robust communication strategy will be developed for online and social media platforms. Collaboration among consortium members and related initiatives will be facilitated through clustering activities. Workshops and webinars will showcase project outcomes and engage stakeholders. Valuable feedback will be provided to standardization bodies, and a market analysis will guide commercialization strategy development.
Lead: 3aHealth
Work Package 4
AI-based Precision Tracheostomy Placement
[M7-M21]
Work Package 4 (WP4) focuses on developing a comprehensive dataset for AI algorithm refinement and creating predictive models for successful endotracheal tube insertion using ML and AI. It also aims to enhance clinical interpretability by identifying key features in models for improved tracheostomy placement. WP4 plays a crucial role in advancing healthcare practices through innovative technology applications.
Lead: CYENS CoE
