08 — Feedback

Quality survey: feedback after every visit

At a configurable interval after the service, the robot asks agreed questions and records answers and voice comments. Negative feedback immediately becomes an alert for management.

ST RK ISO/IEC 27001 State-registered software 50+ providers · 13 regions
Proven integrations with MIS: DamuMed«Жетісу»MedElement · other MIS connected on request
GoalBring feedback into an internal managed loop and detect systemic problems before escalation.
Data sourceExport of patients who visited the healthcare organisation.
Minute packagesThe scenario is paid for with minutes from the shared package — no separate module to buy.
Scenarios

How the AI assistant works

1

Asks whether the patient is willing to answer a few questions.

2

Doctor: competence, attentiveness, clarity, punctuality.

3

Front desk: response speed, courtesy, booking availability.

4

Organisation: cleanliness, comfort, navigation, waiting.

5

Loyalty: willingness to recommend, NPS score.

6

Voice comment: a wish or complaint.

7

Negative feedback is flagged as an alert for management.

8

Analytics by doctor, department and branch, each score linked to the call record.

Impact for the clinic

Expected impact

Systemic problems visible before complaints
Ratings by doctor, department, branch
Quality control without manual calling
FAQ

Frequently asked questions

Can the questions be changed?

Yes, the question list is adjusted on the clinic's request.

How does management learn about a complaint?

An alert to responsible persons on a low score or voice complaint, linked to the call record.

Which languages does the assistant speak with patients?

Kazakh and Russian today, on voice calls and in messengers. For other countries and languages, contact us: the voice and dialogue scenarios are configured per project.

Does the clinic need to install equipment?

No. The platform runs as SaaS: all infrastructure is on the developer's side; the clinic only needs integration access to its MIS.

Scenarios

Other scenarios

All scenarios →
01 — Inbound requests

Inbound calls 24/7

No inbound call goes unanswered — at peak hours, in the evening or at weekends.

  • ✓60–70% of routine requests automated
  • ✓No patient lost to an unanswered call
  • ✓Less front-desk load without extra staff
Learn more →
02 — Appointment reminders

Appointment reminders

Reduce no-shows and free up schedule slots in time.

  • ✓Fewer empty slots in the schedule
  • ✓No manual calling by the front desk
  • ✓Patients arrive prepared for procedures
Learn more →
03 — Preventive care

Adult screenings

Raise real screening coverage and prove the work done during audits.

  • ✓Real contact with patients instead of lists
  • ✓25–35% higher preventive coverage
  • ✓Provable work during analytical audits
Learn more →

See the platform on your own scenario

Book a demo — we will build a scenario for your clinic and show how the AI assistant works with your medical information system.

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