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Healthcare

DMV Healthcare Network — AI Patient Operations

An AI-powered patient operations platform for a multi-location DMV healthcare network — automating appointment scheduling, follow-up reminders, insurance verification, and intake forms to reduce administrative overhead by 60%.

Administrative overhead reduced by 60% across all locations

No-show rate dropped from 24% to 14.8% (−38%)

Insurance verification time reduced from 12 minutes to under 30 seconds

After-hours appointment bookings increased 90%

Project Details

ClientDMV Healthcare Network (Confidential)
Duration6 months
Team Size5 engineers
IndustryHealthcare
−60%
Admin Overhead
−38%
No-Show Rate
+29 pts
Patient NPS

Services Delivered

AI Automation
Healthcare IT Integration
Web Development
Process Automation

01 · The Challenge

What needed to be solved

The network's front desk staff were overwhelmed — spending 70% of their time on tasks that were repetitive and rule-based: appointment scheduling, insurance verification calls, intake form collection, and follow-up reminder calls. Staff turnover was high. Patient satisfaction was declining. And with 4 locations, a single scheduling error could create cascading problems across the day.

02 · Our Solution

How we built it

We built an AI-first patient operations layer on top of their existing EHR. A conversational AI handles inbound scheduling calls and texts 24/7. Intake forms are sent automatically and pre-populate the EHR before the appointment. Insurance verification runs automatically 48 hours before each visit. Reminder sequences (SMS + email + voice) reduce no-shows. A unified staff dashboard gives managers real-time patient flow visibility across all locations.

03 · Results

Measurable outcomes

Administrative overhead reduced by 60% across all locations

No-show rate dropped from 24% to 14.8% (−38%)

Insurance verification time reduced from 12 minutes to under 30 seconds

After-hours appointment bookings increased 90%

Staff satisfaction scores improved significantly, reducing turnover

Patient NPS increased from 42 to 71

04 · Client Testimonial

In their own words

"
"Thorium's AI platform did what we thought would take years — our front desk team went from overwhelmed to proactive in under 3 months."
COO

Chief Operating Officer

Chief Operating Officer · DMV Healthcare Network

Tech Stack

Next.jsPythonOpenAITwilioPostgreSQLAWSHL7 FHIR

Key Metrics

Admin Overhead

Across all 4 locations

−60%

No-Show Rate

From 24% down to 14.8%

−38%

Patient NPS

Increased from 42 to 71

+29 pts

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