When a patient cancels at short notice, clinical staff are left with empty slots and lost time. But what if we could predict these cancellations - and act before they happen? Take this example; 👤 A 76-year-old male had a Urology appointment at 4pm on a Friday. 📊 Our DM Schedules predicted a 44.8% chance of DNA (Did Not Attend) due to the patient’s age and history of DNAs. 📲 Our DM Connects used AI to send out personalised reminders to the patient, but couldn’t reach the him, raising the DNA risk to 80%. 🔄 The solution? The clinic was able to book another patient into the slot from the waiting list. ✅ The result: The original patient DNA’d, but the slot was still used, reducing wasted time - and the patient waiting list. This approach is already having a positive impact in our pilot at Mid and South Essex NHS Foundation Trust. At full scale, the Trust is on track to enable at least 100,000 extra patients to be seen, and by identifying last-minute cancellations, it has already created an additional 40,000 appointment slots. As a result, the Trust is projected to free up £28 million in funded capacity. Want to learn more about how DM Connects and DM Schedules can optimise NHS appointments? DM us for more information.
