RONKE conducts evidence-based clinical assessments by telephone with patients after hospital discharge, automatically stratifying risk so nurses reach the right patient on the right day. No app. No device. Any phone.
elderly patients in the UK cannot access smartphone-based monitoring tools (Age UK, 2023). For them, there is no systematic post-discharge monitoring at all, the patients at highest risk are exactly the ones digital health leaves behind.
Every call follows a seven-domain framework aligned with NICE Guideline NG106: breathing, swelling, weight change, energy levels, chest symptoms, medication adherence, overall wellbeing. The AI listens to natural speech and extracts structured clinical data, the way a specialist nurse would.
No "press 1 for yes". The patient just talks.
Every call closes with a scripted safety signpost, patients are always directed to 999 if symptoms worsen before their nurse makes contact.
Explore the 7-question framework →The risk engine combines baseline risk, current symptoms, post-discharge day and trend across calls, then explains its reasoning. Not a black box: every score traces back to what the patient said. Anything that looks like an emergency is escalated immediately, and every call ends with a scripted 999 safety signpost.
PATIENTS PER SPECIALIST NURSE
RONKE handles the routine calls, every patient, every scheduled day, and reduces nurse workload on screening by 70%. Clinical attention goes where deterioration is actually happening.