Challenge 4: Healthcare with XR & AI

Discharge from hospital does not mean recovery is complete.

For many patients, the most challenging phase begins at home, such as managing medication schedules, mobility limitations, wound care, rehabilitation exercises, monitoring symptoms, and coordinating with family members or informal caregivers.

Instructions are often delivered in brief discharge summaries or paper sheets. Once at home, uncertainty increases. Caregivers may feel overwhelmed. Patients may struggle with confidence, memory, or physical mobility.

AI and XR technologies open the possibility of more contextual, guided, and adaptive support in home environments (e.g., helping patients visualise care routines, rehearse procedures, and receive structured guidance from pre-trained agents and healthcare providers when needing human-in-the-loop support).

This track invites teams to design systems that support recovery at home in realistic, bounded, and responsible ways.

Your solution may OPTIONALLY explore:

• Complex wound care
• Post-surgical mobility rehabilitation
• Medication routines and remote management
• Chronic condition monitoring
• Caregiver workflow coordination

When designing your system, consider:

• Physical mobility limitations
• Cognitive load and feasibility within realistic home settings
• The boundary between support and medical decision-making
• Clear escalation logic (when to seek professional help)
• When to involve human-in-the loop for urgent support

How does XR meaningfully assist physical or procedural understanding?

How does AI provide adaptive guidance without overstepping clinical authority?

How are risks flagged or escalated?

How does the system remain usable in a non-clinical home environment?

A prototype, immersive environment, or interactive demonstration that illustrates a distinct creative vision and meaningful AI × XR integration

Clear articulation of design intentions and effective demonstration of user interaction (via a 2-3 minute video and pitch deck)