Documents
Sorting inbound faxes, identifying the patient and document type, and filing to the right chart.
Sorting inbound faxes, identifying the patient and document type, and filing to the right chart.
A practice receiving 80 faxes a day spends roughly three staff-hours opening, reading, identifying and filing them. The work is pure transcription: no clinical judgement, no patient contact, and no revenue attached. It is also the task most likely to fall behind, because nothing breaks visibly when it does — the fax simply sits.
A practice receiving 80 faxes a day spends roughly three staff-hours opening, reading, identifying and filing them. The work is pure transcription: no clinical judgement, no patient contact, and no revenue attached. It is also the task most likely to fall behind, because nothing breaks visibly when it does — the fax simply sits.
Every inbound fax is classified by document type, matched to a patient, and routed to the right work queue or chart location. Anything the system cannot match with confidence lands in an unmatched queue for a human, rather than being guessed at.
Pick these before you change anything, so the effect is visible rather than anecdotal.
In development. This is the single strongest adjacency to phone coverage and the one practices raise most.
In development. This is the single strongest adjacency to phone coverage and the one practices raise most.
The Front Desk Opportunity Scan estimates the hours and revenue behind each area from your own volumes and ranks them against each other.
MedFrontDesk.ai is the playbook library. MedReception.ai is the platform that runs it.
