Waiting is the first complaint
Getting an appointment and waiting past it are what patients mention first. Without timely feedback, you can't see where and when it happens.
Cloud4Feed listens after every appointment, stay and review, shows which site and which step to fix first, and routes every concern to the team that can resolve it — while it still matters to the patient.
A hard-to-get appointment, a crowded waiting room or an unclear discharge can shape how a patient feels about the whole visit — and you often hear about it last, in a public review.
Getting an appointment and waiting past it are what patients mention first. Without timely feedback, you can't see where and when it happens.
The same patient journey plays out differently across hospitals and clinics — and nobody can compare them side by side.
Comment cards, phone calls and online reviews live in different places, so no one sees the full picture.
Each step has its own channel and its own moment of truth. Cloud4Feed listens at all of them — and reads them as one story.
Voice AI calls run voice-only or after your digital invites — you choose per survey.
From the first response, every survey answer, call and review is coded into patient-experience topics, sentiment and emotion — in 50+ languages. New topics are spotted automatically; your team approves them.
How the AI engine reads every channelThe same Listen → Analyse → Insight → Act loop as the rest of the platform — set up for appointments, stays, discharges and clinic reviews.
A short survey follows every visit by SMS, email or a QR code in the waiting room. Patients who prefer the phone get an AI voice call, and every site's online reviews land in one inbox.
Survey answers, call transcripts and reviews are coded into the same patient-experience topics, sentiment and emotion — so a comment on the phone and a review online count as the same issue.
Compare sites and clinics side by side and ask AI what to fix first. Get an alert when complaints rise at one site.
A negative comment becomes a case for Patient Relations, with an SLA and a reminder before it's due. The patient hears back, and site managers get a weekly report.
Daniel rated his visit 8 out of 10. One AI follow-up question surfaced the real reason — a 40-minute wait — and Patient Relations called him back. Read together with every other visit, the same AI engine showed the bigger fix: waiting time in outpatients.
It was fine overall.
AI: Was there anything that didn't quite work for you?
I waited 40 minutes past my appointment time.
How every visit lands, by site and clinic.
Where and when patients wait too long.
Every review, across every site.
How fast patient concerns are closed.
Patients reached on the channel they prefer.
100+ companies across 15+ industries run their voice of customer programme on Cloud4Feed.
Read customer stories