ContactBook a callGet My Score
AnswerEvery call picked up, triaged, and routed — including the ones outside office hours.
ScheduleSlots filled, cancellations backfilled, and recalls that actually go out.
IntakeDemographics, insurance, consents and history captured before the visit, not at the window.
ProcessFaxes, referrals, records and prior auth — the paperwork nobody sees and everybody drowns in.
CollectCoverage verified before the visit and balances collected after it.
GrowThe digital front door: getting found, getting booked, and getting reviewed.
ContactStaff & OperationsFront Desk Score

Compliance

Telling Patients They Are Talking to AI

Disclosure practice, and why it works better than concealment. Patients react badly to discovering they were deceived.

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Disclosure practice, and why it works better than concealment.

Patients react badly to discovering they were deceived. They react fine to a system that says what it is and then helps them quickly.

What goes wrong today

Patients react badly to discovering they were deceived. They react fine to a system that says what it is and then helps them quickly.

How an AI front desk handles it

Disclosure is built into the greeting, in language you control, and it measurably does not reduce completion rates.

  • Disclosure in the opening greeting
  • Wording you control
  • Path to a human on request
  • No deceptive voice practices

What to measure

Pick the metrics before go-live so the change is visible afterward. These are the ones that move first for this workflow.

  • Answer speed and abandonment rate
  • First-call resolution for this call type
  • Staff hours returned to other work
  • Patient-reported access experience

Getting it live

MedReception.ai personalizes this workflow to your practice: your rules, your escalation paths, your EMR. Personalized go-live typically runs 7 to 14 days.

  • Map your current handling of this call type
  • Define escalation and exception rules
  • Connect the EMR handoff
  • Test with real scenarios before go-live

Rollout checklist

  • Document how this call type is handled today.
  • Decide which cases must reach a human immediately.
  • Define where the record should land in your EMR.
  • Agree the metrics you will judge success on.
  • Test with real call scenarios before go-live.

Frequently asked questions

How long does this take to set up?

This workflow is part of a standard MedReception.ai go-live, which typically runs 7 to 14 days including mapping, personalization, and testing.

Can we keep a human in the loop?

Yes. You define which cases escalate and to whom. The AI handles volume; your team keeps the judgment calls.

Does it work with our EMR?

MedReception.ai integrates with the major EMR platforms and can pass structured records into your existing workflow.

Keep going on MedReception.ai

MedFrontDesk.ai is the playbook library. MedReception.ai is the platform that runs it.

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The platform page for this workflow on MedReception.ai.

Book a MedReception.ai demo

Walk through this workflow with your own scenarios.

See pricing

Transparent tiers with HIPAA-ready coverage included.

EMR and phone integrations

Check how this connects to your existing stack.

Part of ProcessFaxes, referrals, records and prior auth — the paperwork nobody sees and everybody drowns in.See the whole pillar →

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