Every patient call, answered
before the second ring.

Persistence voice AI handles intake, scheduling, reminders, and follow-ups — so your clinical staff focus on care, not call queues.

Use cases

Automate patient communications
without compromising care

From appointment scheduling to post-discharge follow-ups — Persistence handles the calls your staff shouldn't have to make manually.

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Patient Appointment Booking

Verifies insurance, checks calendar availability, and schedules bookings in real time — without hold time.

OUTBOUND

No-Show Prevention Reminders

Calls patients 48 hours before their appointment to confirm or reschedule, reducing expensive gaps in your schedule.

OUTBOUND

Preventive Care Outreach

Reaches out to patients due for annual check-ups, screenings, or vaccinations — proactively, at scale.

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Prescription Refill Requests

Logs drug names, checks provider records, and routes refills directly to the clinical team.

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Insurance Pre-Authorization Queries

Guides patients through approval status for procedures and explains next steps.

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Post-Discharge Care Surveys

Checks in on recovering patients, tracks pain levels, and schedules follow-up clinic visits.

Business Impact

Results that speak for themselves.

Real numbers from healthcare teams that replaced manual staff workflows with Persistence voice AI.

Regional Health Network
case study

38%

Scheduling NPS lift

5x

Revenue growth

$280K

Monthly collections handled

<30s

Average handle time

Related reading

HIPAA-Compliant AI Voice Agents: Built for Healthcare from Day One →Automate Patient Appointment Scheduling with Persistence AI →

Healthcare questions

What clinics and health systems ask before putting an agent on the line.

What does HIPAA actually require from a voice agent?

Any call handling protected health information brings the recording, the transcript, and every downstream system into scope. In practice that means controlling who can access recordings, how long they are retained, how sensitive values are redacted, and having a defensible answer for each. The requirements sit on the whole pipeline, not just the model.

Can it handle appointment scheduling and reminders?

Yes, and it is the most common healthcare starting point because the intent is narrow and the volume is high. Booking, rescheduling, cancellations, and reminder calls are repetitive by nature, which is exactly what a voice agent handles well and what consumes front-desk time.

What happens when a caller is distressed or the call is urgent?

It should stop transacting and route to a person immediately. Healthcare is the clearest case for topic-based escalation rules: some subjects should never be handled autonomously regardless of how confident the agent is, because the cost of being wrong is not symmetrical.

How accurate is it with names and medication terms?

This deserves testing rather than assurance. Recognition errors cluster on proper names, drug names, and anything spelled aloud — precisely the vocabulary healthcare calls depend on. Supplying the terms specific to your practice improves this materially, and high-stakes values should be confirmed back to the caller.