Automating Veterinary Triage and Intake: A Read Laboratories Case Study
Business Type
Veterinary Clinics
Location
Thousand Oaks, CA
Size
4-Doctor Practice with 12 Support Staff
Challenge
High call abandonment rates and lost after-hours emergency revenue due to manual triage bottlenecks.
The Challenge
The clinic was facing severe 'phone fatigue,' with front-desk staff spending over 4 hours daily managing routine prescription refill requests and vaccination status inquiries. This administrative load meant that high-value emergency triage calls were frequently placed on hold or sent to voicemail, resulting in a 15% call abandonment rate during peak morning hours. Furthermore, their legacy after-hours answering service was unable to accurately distinguish between routine scheduling and urgent medical emergencies, leading pet owners to seek care at competing 24-hour hospitals for cases the clinic was equipped to handle. The practice was losing an estimated $5,400 per month in potential emergency fees and surgical follow-ups.
The Solution
Services Used
- • AI Voice Triage & Routing
- • Automated PMS Integration
- • Custom Prescription Refill Logic
Timeline
5 weeks from discovery to deployment
Integrations
- • Avimark
- • Twilio Voice
- • OpenAI GPT-4o via Read Labs API
The Results
22 hours/week
Time Saved
$3,100/month
Cost Saved
28% increase in captured after-hours emergencies
Revenue Impact
Dropped from 15% to <1%
Call Abandonment Rate
85% of requests handled without staff intervention
Refill Automation
"Read Laboratories didn't just give us a bot; they gave us a digital receptionist that actually understands the difference between a routine checkup and a GDV emergency. It has completely changed our staff's quality of life."
— Medical Director & Practice Owner
Implementation Timeline
The project began with a deep audit of the clinic's Avimark database and historical call logs to identify common friction points. During weeks 2 and 3, we developed a custom LLM-based triage logic that follows AAHA guidelines to categorize calls. Week 4 focused on the Twilio-Avimark sync, ensuring refill requests were automatically logged as pending tasks for technicians. By week 5, the system was live, handling all inbound calls and only surfacing high-priority medical concerns to the human staff.
FAQ
How does the AI handle prescription refills in Avimark?
The AI verifies the client and patient identity, checks the last exam date and remaining refills in Avimark, and if criteria are met, creates a 'Pending Task' for the technician to approve, eliminating the need for a phone conversation.
Can the system distinguish between a 'broken nail' and a life-threatening emergency?
Yes. We use clinical protocols to train the AI to recognize 'red flag' keywords and symptoms. True emergencies are instantly routed to the on-call vet or the clinic's emergency line, while routine issues are scheduled for the next day.
Does this replace our current receptionist?
No. It augments them by handling the 70% of calls that are repetitive (directions, hours, refills, basic pricing), allowing your staff to focus on the patients in the room and complex client communications.
How long does it take to train the AI on our specific clinic protocols?
We typically require 3-5 days of 'shadowing' your current protocols and reviewing your pricing/service list to ensure the AI speaks exactly like your staff would.
Want results like these?
Free consultation. We'll look at your specific situation and tell you exactly what's possible.
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