NO-SHOW AGENT
Turn predicted no-shows into kept appointments
An AI agent predicts which patients are likely to miss their appointments, then calls them with a natural voice, sends an SMS, or messages them on WhatsApp to confirm or rebook. Improving clinic capacity without extra front-office work.
- Multilingual
- Voice in patients' own languages
- EU-hosted
- GDPR-first by design
- Efficient
- No extra workload
How the No-show Agent works
The No-show Agent predicts at-risk appointments and contacts patients to confirm or rebook, keeping schedules full without extra front-office work.
Predicts no-show risk
The agent scores every upcoming appointment using patterns already present in your scheduling data, no change to how teams work.
Calls or messages patients
High-risk appointments trigger a multilingual natural-voice call, SMS, or WhatsApp message that confirms the appointment or offers to reschedule.
Frees capacity
Confirmed slots stay, freed slots are opened for rebooking automatically, so capacity is optimized without manual chasing.
INSIDE THE PRODUCT
See every at-risk appointment, days ahead
One live worklist scores every upcoming appointment and flags the patients most likely to miss, so your team can act before the slot is lost. All outreach channels are multilingual.
Voice calls
Calls patients with a natural voice.
WhatsApp
Starts an interactive WhatsApp conversation.
SMS
Sends confirmations and rescheduling messages.
Calculate your no-show savings
Estimate the appointments and revenue you could recover each year by reducing no-shows with the Coforix No-show Agent.
9.000
appointment slots recovered per year
€ 1.350.000
in recovered revenue per year
Indicative estimate, based on a 30% reduction in no-shows. Actual results vary by clinic and specialty.
What hospitals get from the No-show Agent
Keep clinic capacity full and reduce missed slots, without adding work for your front office.
Better-filled clinic schedules
At-risk appointments are confirmed or rebooked before they ever become empty slots.
Less front-office workload
Automated voice calls, SMS, and WhatsApp outreach reduce workload for essential staff.
Recovered revenue
Every recovered slot is a billable appointment that would otherwise have been lost.
Better patient access
Freed slots can be offered to other patients, helping to shorten waiting times.
Proven impact at UMC Utrecht
The No-show prediction model was originally developed by the AI for Health team at UMC Utrecht and validated in a randomized controlled trial. It has since been successfully rolled out across all outpatient clinics.
Through Coforix's open AI platform, this hospital innovation is available as a service to other healthcare providers, without requiring them to host or develop the model themselves. The advanced solution combines prediction with a multilingual Voice Agent.
Frequently asked questions
The model analyses every upcoming appointment using patterns already present in your scheduling data and surfaces the patients with the highest no-show risk a few days ahead, so there is time to act.
High-risk appointments can trigger a multilingual natural-voice call, SMS, or WhatsApp message that confirms the appointment or offers to reschedule. Confirmed slots stay and freed slots are opened for rebooking automatically.
The AI voice agent responds to patients in their own language, so outreach stays clear, natural, and accessible across a diverse patient population.
Yes. Your staff can follow up with patients themselves, or you can extend the solution with the Voice Agent. If you already have a prediction model, you can also use the Voice Agent on its own.
No. The automated outreach replaces manual calling and reminder chasing, so your staff don't take on extra workload.
Coforix will never train on your patient data. The platform is hosted in the EU, with privacy and security at its core.
Learn more about the No-show Agent for your healthcare organization
Book a demo and we'll estimate your recovered capacity on your own numbers.