Overview
Softech designed and implemented an AI Call Center system for a network of medical clinics that automates phone-based patient support. The solution uses voice AI to answer calls, register appointments, and manage basic patient interactions more efficiently.
Problem
In many medical clinics, phone lines are overloaded. Patients call to schedule visits, reschedule consultations, or ask about doctor availability. During peak hours, reception teams are unable to answer every call, which leads to frustration, lost bookings, and operational strain.
Solution
We implemented an AI Call Center based on speech recognition and AI language models. The system answers calls, talks to patients in natural language, verifies context, books appointments in the registration system, and can support reminders or follow-up communication via SMS.
Business impact
After deployment, the number of answered calls increased significantly and patients could schedule visits even outside standard reception hours. The clinic staff was relieved of repetitive phone work and could focus more on direct patient service.
Key metrics
Gallery
Technology
Implementation timeline
1. Discovery and registration analysis
Understanding patient call scenarios and clinic workflows
2. Voice architecture
Conversation design and medical-specific logic
3. Registration integration
Synchronization with appointment and doctor availability data
4. Reminder flows
Post-call confirmations and reminders
5. Optimization and rollout
Continuous improvement of conversation quality and clinic operations
Client testimonial
“The AI call center noticeably improved patient access to registration and reduced the burden on the reception team. It became a very practical layer of automation in daily clinic operations.”
FAQ
Can AI schedule patients for appointments?
Yes. The system can talk to the patient, collect booking details, and create appointments in the integrated registration environment.
Does it replace the medical team?
No. It automates repetitive phone-based administrative work, while medical decisions remain with the clinic staff.
Can it send reminders?
Yes. The system can support reminders and follow-up communication, for example via SMS.
Is this useful only for large clinic networks?
No. The model can also be adapted for smaller clinics that struggle with overloaded phone registration.
