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Solution · Fax & Referral Intake

Referral management automation that reads every fax so your staff doesn't have to.

Simz monitors your fax queues and shared folders around the clock, extracts every field with confidence scoring, names and files each document to your conventions, catches duplicates and revisions, and routes anything uncertain to a fast human review queue.

Fax lands→
AI reads & extracts→
Named & filed→
Verified→
Routed to schedule
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No obligation. Response within one business day.
4,000+documents per month processed in the base tier
Field-levelaccuracy benchmarked on your documents
6–8 wksfrom kickoff to a live production pipeline
100%of uncertain reads verified by a human
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The cost of this bottleneck

Healthcare's most expensive job title: professional fax reader

Every referral, order, and record lands as an image, and a person opens it, reads it, renames it, keys it into a system, and files it. The labor scales one-to-one with volume, and the errors ride along:

1–2 FTEsconsumed by manual document intake alone at a typical multi-site group
$50–110Kper year in loaded intake labor cost

…plus the transcription errors, naming drift, and referral leakage that come with it.

Every document touched

Opened, read, renamed, keyed, and filed by hand, labor scales 1:1 with volume.

Re-keying breeds errors

Every manual transcription is a chance for a wrong DOB, code, or insurance ID.

Naming drift

Every staff member files a little differently, and retrieval pays the price.

Duplicates and revisions

Resent faxes and updated orders slip through as new cases or get missed entirely.

Slow intake = lost referrals

Referrers notice turnaround; slow response quietly redirects the next referral.

BEFORE / AFTER

How it works today vs. with Simz

Arrival
TODAY ·

A pile in a shared folder, checked when someone has time

WITH SIMZ ·

Fax queues and folders monitored continuously, so processing starts on arrival

Reading
TODAY ·

A person reads and re-types every field

WITH SIMZ ·

AI extracts patient, provider, insurance, codes, and priority, with a confidence score for every field

Filing
TODAY ·

Renamed by hand, filed by habit

WITH SIMZ ·

Named to your convention and filed to your taxonomy, identically every time

Duplicates
TODAY ·

Caught by memory, sometimes

WITH SIMZ ·

Exact and near-duplicates detected; revisions linked to the original case

Uncertainty
TODAY ·

Guessed at, or set aside

WITH SIMZ ·

Anything below the confidence threshold routes to a fast human verify-and-correct queue

HOW IT WORKS

The automation, step by step

01

Continuous capture

Fax lines, shared folders, and e-referral channels monitored around the clock, including PDFs, TIFFs, fax images, and portals.

02

Extraction with confidence scoring

Every field, including patient, DOB, provider, insurance, procedure, codes, priority, and auth details, is extracted and scored.

03

Naming and filing

Documents renamed to your exact convention and filed to your folder taxonomy with zero drift.

04

Duplicate & revision detection

Resends caught automatically; changed orders linked to the original so the schedule reflects the latest version.

05

Human review queue

Uncertain reads route to staff for fast verification and correction, so nothing is auto-filed on a low-confidence read.

WHAT YOU GET

Universal capture

Fax, PDF, TIFF, e-referral, and portal documents, all handled through one pipeline.

Field-level extraction

Structured data out of unstructured documents, scored field by field.

Auto naming & filing

Your conventions, applied perfectly, forever.

Dedup & revision linking

Resends and updates handled without double work or missed changes.

Review queue

Human verification exactly where it's needed, and only there.

Intake analytics

Volume, turnaround, sources, and error rates, providing live visibility into the front door.

Accuracy you can hold us to: Extraction accuracy is benchmarked on your actual documents during discovery, and those benchmarks become the contractual acceptance criteria for the build.

Why we're confident

This engine is already running in production

The platform behind this solution is live today with a multi-site radiology group in Southern California, a phased engagement covering AI intake, real-time eligibility, authorization tracking, a 24/7 phone agent, and analytics, on one MSA, one BAA, one HIPAA framework.

Powered by Simz Conversational, Simz Shift, and Simz Chron, with custom development for everything else.

  • BAA executed before any PHI moves
  • HIPAA-eligible infrastructure end to end
  • Human review on every uncertain AI decision
  • Role-based access with full audit logging
  • Accuracy benchmarked on your documents, and locked as acceptance criteria

FAQ

Fax & Referral Intake, answered

Accuracy is measured on your documents. During discovery, we benchmark extraction field by field on a sample of your real referrals, and those benchmarks are locked as the acceptance criteria for go-live. Anything below the confidence threshold goes to human review rather than being auto-filed.

Faxes (as images or PDFs), scanned documents, TIFFs, e-referrals, and portal downloads, monitored continuously from fax queues, shared folders, and inboxes.

Wherever your workflow needs it, including named files in your folder taxonomy, structured fields in your systems, and workflow statuses that drive eligibility checks, scheduling, and downstream dashboards.

Missing information is detected during extraction, and the sender is chased automatically for what's missing, so incomplete referrals stop stalling silently in a folder.

Kill this bottleneck first.

Thirty minutes with your operations lead. We map how document, fax & referral intake works in your practice today, quantify what it's costing you, and hand you an automation roadmap. Whether or not you build it with us.

Book your auditBook your auditNo pitch deck. No obligation. Just a map of your busywork.