LetterAgent

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Status: LetterAgent is currently in private testing ahead of public launch. Everything on this page describes the service as it works today.

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How do small clinics turn incoming faxes into electronic health records?

Small clinics route incoming faxes through a cloud fax platform instead of a desk machine. Software classifies each page, reads it with OCR, matches it to existing patient records, and holds anything uncertain in a human review queue. LetterAgent only sends faxes, so clinics cannot receive faxes through it.

StageWhat happensWhy it matters
ReceiveFaxes arrive at a cloud fax number, never a paper trayPages cannot sit on a machine where anyone can read them
ClassifySoftware decides the document type: referral, lab result, refill request, insurance formRefills and prior-authorization requests look identical on a pile, so sorting by hand is slow and error-prone
ExtractOCR pulls out named fields: patient name, date of birth, referral type, diagnosis codes, insurance detailsTyped demographics and checkboxes extract cleanly; handwriting is less reliable
MatchThe system finds the patient in the EHR, usually by name plus date of birth with fuzzy matching for typosOne fax with two plausible patients is worse than no fax at all
ReviewAnything low-confidence lands in a queue for a coordinator to confirm or correctMedication lists, allergies, and handwriting stay human-reviewed because the stakes are clinical
FileConfirmed data and the original fax image land in the patient chartThe image is kept too, since it is the legal source document

What does the OCR actually pull out of the page?

The easy wins are demographics and insurance: full name, date of birth, health card or member ID, and the referring provider. Referral platforms also pull document-specific fields, like the test codes on a lab requisition or the diagnosis codes on an authorization request. The hard cases are exactly what you would expect: medication names that differ by a few letters, allergy lists jotted beside the printed lines, and anything handwritten. Those get extracted as suggestions, not facts, and a staff member verifies them. This is why a good intake setup reports confidence per field rather than pretending the read is perfect.

Why does a person still check anything?

Because some mistakes are too costly to automate away. Matching the wrong patient to a lab result can lead to treatment based on someone else's bloodwork. A misread dose can land in the chart and get acted on months later. In practice, clinics tune the system so it auto-files the clean, high-confidence documents (legible forms for known patients) and parks everything else. Most vendors in this space describe the same split: a small fraction of documents take nearly all of the human attention, and the rest flows through. The coordinator still reads the uncertain pile the way they used to read everything.

What about patient privacy?

Any vendor handling this pipeline for a US clinic signs a Business Associate Agreement, the contract that makes them legally responsible for protecting patient data. The intake platforms also log every step: when the fax arrived, what the software extracted, and who confirmed or corrected each field, so there is an audit trail from receipt to chart. One thing worth knowing as a patient: a fax sent to the wrong number by mistake is treated as a privacy breach by regulators, and some of the largest fax-related fines in healthcare came from misdirected faxes. Confirming the number before sending is the cheapest privacy control there is.

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LetterAgent is a working name. Prices include print, postage, and our service fee. US prices in USD, Canadian prices in CAD (Canadian prices exclude applicable sales tax, added at checkout). Currently in private testing.

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