What we are testing:
- Whether AI can pre-qualify referrals more accurately than current processes
- Whether specialists value fewer, higher-quality referrals with clearer context
- Whether patients will opt into transparent private pathways when presented clearly
- Whether primary care clinicians regain time and confidence in the referral process
The hypothesis
Most referral friction comes from poor information, not poor intent. Structured, AI-assisted pre-screening may reduce noise for specialists and uncertainty for patients.
Why this matters
Better referrals mean faster care, less burnout, and fewer patients lost in the system.
Outcome we are testing
Whether referral quality, not referral volume, is the lever that improves system trust.
