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Sector scenario

AI Medical Receptionist in Gynecology: Optimizing Prenatal Workflows

Gynecology & Obstetrics · Poland · MediUse · September 9, 2026

A leading multi-site gynecology and obstetrics clinic network in Poland managing high daily patient volumes.

AI Medical Receptionist in Gynecology: Optimizing Prenatal Workflows
The context

The clinic group struggled with operational bottlenecks during peak calling hours, leading to missed postpartum follow-up calls and rising no-show rates for critical prenatal scans (peaking at 18%). Staff spent hours manually dialling patients for reminders, leaving little time for patient care on-site. The lack of a closed-loop confirmation system in their EHR, MediUse, resulted in empty high-value ultrasound slots.

The Cali rollout

Cali AI was deployed and fully integrated with the MediUse API to automate both inbound inquiries and complex outbound workflows. Cali now handles all routine phone and WhatsApp queries, triggers automated prenatal reminders with instant reschedule options, and manages postpartum callback sequences at the 6-week mark. Every interaction, booking, or cancellation is written directly back to MediUse in real time.

The result

The deployment instantly freed up front-desk resources, allowing clinical staff to focus on in-person care. The automated outreach ensured continuous patient touchpoints throughout the maternity cycle without adding administrative overhead.

18% → 4%
Prenatal scan no-show rate
100%
Automated booking synchronization in MediUse
< 2 min
Average response time for postpartum inquiries
« Cali closed the loop on our prenatal and postpartum communication. Automating these sensitive touchpoints saved our midwives and receptionists hours of manual phone work every single day. »
Clinic Operations Director

Anonymized sector scenario, inspired by real Cali AI deployments. Figures reflect ranges observed on comparable clinics.

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