Patient onboarding · Production

mdhub deploys ElevenAgents to handle 90% of inbound calls and book 30% more appointments for behavioral health clinics

The problem

Behavioral health clinics were losing patients due to voicemail and phone queue delays — poor first contact caused patients to disengage and seek care elsewhere, and the time from first inquiry to appointment stretched from weeks to days.

Workflow diagram · grounded in source
1
Patient inquiry arrives
trigger
“respond to every patient inquiry instantly with a natural, emotionally sensitive voice”
2
AI captures demographics and verifies insurance
ai_action
“Agents capture patient demographics, verify insurance, and match them with the right provider”
3
EHR and clearinghouse integration
integration
“connecting into electronic health records, clearinghouses, and clinic-specific systems”
4
Appointment scheduled in minutes
output
“letting patients schedule appointments in minutes instead of leaving voicemails and waiting for callbacks”
5
Prescription and pharmacy support
ai_action
“Agents check prescription statuses, confirm pharmacy details, and create structured notes for clinicians”
6
Human escalation when needed
human_review
“Staff step in only when human judgment is required”
Reported outcome

ElevenAgents enabled mdhub to book 30% more appointments, handle 90% of inbound calls end-to-end autonomously, and reduce time from first inquiry to appointment from weeks to days.

Reported metrics
Appointments booked30% more
Inbound calls handled end-to-end90%
Time from first inquiry to appointmentreduced from weeks to days
Reported stack
ElevenAgentselectronic health recordsclearinghouses
Source
https://elevenlabs.io/blog/mdhub
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

ElevenAgents enabled mdhub to book 30% more appointments, handle 90% of inbound calls end-to-end autonomously, and reduce time from first inquiry to appointment from weeks to days.

What tools did this team use?

ElevenAgents, electronic health records, clearinghouses.

What results were reported?

Appointments booked: 30% more; Inbound calls handled end-to-end: 90%; Time from first inquiry to appointment: reduced from weeks to days (source-reported, not independently verified).

How is this patient onboarding AI workflow structured?

Patient inquiry arrives → AI captures demographics and verifies insurance → EHR and clearinghouse integration → Appointment scheduled in minutes → Prescription and pharmacy support → Human escalation when needed.

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