🧾 Executive Summary

A small US clinic was missing patient calls during peak hours and losing new bookings after-hours when calls went to voicemail. The clinic implemented Autex – AI Call Assistant for Clinics to answer calls instantly, capture patient details, and support appointment scheduling within clinic rules.

Within 30 days, the clinic saw measurable improvements:

• Higher booking volume from both business-hours and after-hours calls
• Fewer missed calls and fewer abandoned calls during peak times
• Less front-desk time spent on repetitive questions and call backs

Overall, Autex delivered clear ROI by converting more inbound demand into booked appointments while reducing operational strain on the front desk.

🏥 Client Overview

• Clinic type: Family practice (primary care)
• Location: Columbus, Ohio (mid-sized US city)
• Team size: 2 physicians, 1 nurse practitioner, 3-person front desk team
• Operating hours: Mon–Fri, 8:30 AM–5:30 PM (phones less reliably covered during lunch)
• Estimated call volume: 55–75 calls/day (higher on Mondays)
• Common call reasons: New patient appointment requests, rescheduling, insurance questions, directions, basic clinic policies

🚩 The Challenge

The clinic’s growth depended on reliably converting inbound calls into appointments. But call handling was inconsistent, especially during predictable spikes.

1) Missed calls during peak hours

The front desk was busiest at the exact times patients called most:

• 8:00–10:30 AM: appointment requests, same-day symptoms, pharmacy/insurance callbacks
• Mondays: backlog from weekend patient needs