Introduction

Patient data is often split across hospitals, apps and national systems that do not talk to each other. This slows care down and leaves patients with little control over their own information. 5G4PHealth builds an interconnected, patient-centred healthcare ecosystem in which data can be shared securely in real time, AI tools support clinicians, and patients take part in their own care.

Key Objectives

• AI services for posture and movement analysis and for adolescent depression risk screening
• Fast, reliable communication over 5G and semantic communication methods
• A connected hospital platform that receives bedside and ward device data
• Cross-border results that appear in one patient record

P4 Healthcare

• Predictive: AI models estimate risk early, from movement or from cognitive and voice signals.
• Preventive: earlier signals give clinicians time to act before a condition worsens.
• Personalised: analysis is based on the individual patient's own measurements.
• Participatory: patients see their data and manage access to it.

AI outputs in 5G4PHealth are research estimates that support professionals. They are not medical diagnoses. The consortium documents its AI systems against the EU AI Act and the GDPR.