Executive Summary

Healthcare systems overwhelm patients with information while offering little guidance.

This concept explored how AI could help patients navigate care decisions while maintaining clinical safety.

The Problem

Patients experience:

• Medical confusion

• Care fragmentation

• Appointment complexity

• Insurance uncertainty

Research

Participants(remote):

• 20 patients

• 8 physicians

• 6 nurses

• 4 care coordinators

AI Experience

Symptom Navigator

Patient enters:

"I've had chest pain for three days."

The AI:

• Assesses urgency

• Provides recommendations

• Escalates when necessary

Treatment Timeline

The platform generates:

Today: Primary care appointment

Next: Cardiology referral

Then: Diagnostic imaging

Estimated timeline: 14 days

Safety Design:

The AI never:

• Diagnosed conditions

• Prescribed medication

• Replaced physicians

The AI always:

• Explained uncertainty

• Cited sources

• Recommended escalation

Outcomes

KEY METRICS:

Support calls: -45%

Appointment completion: +30%

Patient confidence: +39%

Satisfaction: +24%