{{ segSubject }} running {{ volumeLabel }} studies a year is carrying {{ heroValue }} of recoverable work.
You run {{ volumeLabel }} studies a year. {{ heroValue }} of that is recoverable work.

Start with your annual volume. The four stages below ask you for six numbers in all, and prefill the rest from measured client data.

Run it on my numbers Get your figures in writing
Get your figures in writing Edit your numbers
Annual gross recovered value
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{{ modelStatus }}
Solo center Hospital outpatient Multi-site network
Your number
{{ warn.volume }}
{{ laborHoursLabel }}
Hours returned to the front office
{{ recoveredStudiesLabel }}
Studies completed that would have been lost
Annual gross recovered value
{{ heroValue }}
{{ segLabel }} · {{ volumeLabel }} studies
{{ modelStatus }}
{{ segLabel }} · {{ volumeLabel }} studies · Past {{ capLabel }} of your annual volume.
See the breakdown Get your figures in writing

Four stages. One platform does all of them.

Each stage shows what it recovers.

Stage 01 · Order intake · powered by Ora is AbbaDox's AI layer. Fax AI reads incoming faxes and orders, pulls out the patient, exam and referrer, and files them with no manual keying.

Your manual queue is fifteen hours behind the newest fax

Fax AI identifies, extracts and routes every incoming order, so your intake team only sees the exceptions it could not finish.

{{ intakeValueLabel }}
{{ intakeHoursLabel }} hours freed across {{ faxStaffLabel }} people, plus {{ paperValueLabel }} in paper.
The wage, before benefits and overhead.
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Only the ones dedicated to it.
{{ warn.faxStaff }}
Stage 02 · Self-scheduling · powered by Ora is AbbaDox's AI layer. Voice AI places and answers patient calls - scheduling, confirmations and follow-up reminders - and hands off to your staff when it should.

Half your scheduling should not need a scheduler at all

Patient SMS, Voice AI and the referring portal take booking off your schedulers.

{{ schedValueLabel }}
{{ autoApptsLabel }} more appointments booked without a scheduler, or {{ schedFteLabel }} full-time schedulers.
Across every channel you already run, including SMS.
{{ warn.selfSchedNow }}
Stage 03 · Confirmations · powered by Ora is AbbaDox's AI layer. Here, Voice AI places the confirmation calls before each appointment.

A booked appointment still has to turn up

Automated confirmations reach every patient before the appointment, so fewer slots go empty.

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{{ keptApptsLabel }} appointments kept
No-shows plus same-day cancellations and reschedules together.
{{ warn.noShow }}
Stage 04 · Follow-ups · powered by Ora is AbbaDox's AI layer. AI Follow-Up Recommendations reads finished reports for recommended follow-ups, tracks each window and runs the patient outreach.

The follow-up is in the report. Nobody owns the callback.

CareFlow surfaces follow-up recommendations out of finished reports, tracks the window and runs the outreach.

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{{ followStudiesLabel }} follow-ups recovered that would not have happened anyway
Nothing is claimed until you enter a gap for us to recover from
Recommended in the report, then never scheduled or completed.
{{ warn.neverHappens }}

The three questions your team will raise before the money matters.

Every action is on the record

What happened, when, on whose authority and what the patient heard, in the same record your staff already work from.

Ambiguity is routed for review

Clinical questions, safety screening, patient distress or an identity the AI cannot verify are routed for review with the transcript attached.

Patients rarely push back

93% patient satisfaction on AI-handled scheduling calls, with only 15.2% of answered calls transferring to a person.

Bring your own numbers. We will show you which of these assumptions hold for you.

30 minutes with your volumes on screen, and you leave with your figures in writing, the payback period and pricing for your scope.

Get your figures in writing