Loretta in Action
Real Stories from the Frontlines of Health Equity
Dr. Patel runs a busy GP practice in North West London.
Most of her patients have long-term conditions made worse by stress, language barriers, or housing instability.
She wants to help them early and assist in preventative care, but her day is full. In addition, most systems show only half the story and lack the crucial data needed to provide the necessary care.
Dr. Patel logs into the Loretta Clinician Dashboard.
Her patient list appears ranked by Equity Tier. Marc’s name is near the top not because of a critical clinical number, but because Loretta’s Equity-Weighted Risk Score recognises that he faces several social barriers to care.
She clicks into Marc’s record. The dashboard highlights his high HbA1c.
It also shows contextual markers: erratic work schedule, limited physical activity, rising stress scores, and recent missed reviews.
The Value-based Care Advisor explains why he was flagged and recommends a few concrete steps: book a medication review, offer a referral to a community exercise group, and connect him with a local food programme.
Each suggestion comes with evidence links from NICE-aligned guidance and local ICS resources.
When Marc arrives for his appointment, Dr. Patel doesn’t waste time reviewing data.
Instead, they talk about what’s manageable. Loretta’s Explainable AI layer gives her confidence she can see exactly which factors led to the alert, not a black-box prediction.
After the visit, Dr. Patel updates the dashboard.
The system logs every action; who accessed data, what was changed, and when, ensuring full transparency under NHS and GDPR standards.
A few weeks later, Marc’s metrics improve.
For Dr. Patel, it’s clear that this isn’t just an app. It’s a safety net for the patients most likely to slip through the cracks.