DocBridge · The record network

V2 Proposal · Internal

Provider Direct

One page for the team: the gap we'd fill, why it helps us sign firms, and why it collapses our processing costs. Not the immediate roadmap — the stage after it.

The gap

Every medical record in a PI case already exists as clean digital data inside the provider's own system. Today, the industry's answer is to request a picture of it: staff email the provider, the provider prints-to-fax whenever they get to it, and weeks later a rasterized image arrives that a machine has to decode all over again. V1 automates everything after the fax arrives. The gap V2 fills is everything before it: the request itself. Because the client's HIPAA authorization is on file with the provider from day one of treatment, the moment a provider marks a record complete, it can flow straight into the pipeline — no ask, no wait, no fax.

staff requests records→ provider gets to it eventually→ blurry fax arrives→ provider hits save → record is filed

Why this signs more firms

01 · IN NETWORK

Their providers are already connected

The demo stops being a feature pitch. "The providers your clients already treat with are on our network — your records would just start showing up." That closes itself.

02 · NOT YET IN NETWORK

The firm becomes our warm intro

During the demo phase we offer to bring their providers onto the network at no cost to anyone. All the firm has to do is connect us with the practices they work with most — and every firm signed grows the network that signs the next one.

03 · WHY IT WORKS IN PI

These aren't hospital systems

PI treating providers are sole-owned practices — ortho groups, chiros, imaging centers, PT clinics. The decision-maker is the owner, the owner values the referring firm, and onboarding is a conversation, not a procurement cycle.

The cost story

Our per-document processing cost exists almost entirely because faxes arrive as pictures. Provider Direct changes what enters the pipeline — records come in as raw digital text with the type, dates, and patient metadata already attached. There is no image to interpret, so the recognition problem disappears at the source.

V1 TODAY — FAX IMAGE + AI VISIONhighest cost

Every page is a picture, so the model reads every page visually — the most expensive operation we run, and it scales linearly with volume.

V1 AT SCALE — FAX IMAGE + TRADITIONAL OCRcheaper, still pixel-bound

OCR still processes every pixel of every page, then we pay again to clean up its mistakes before the model can use the text.

V2 — PROVIDER DIRECT, RAW DATAbare minimum

The data was never a picture. The model runs a short confirmation-and-extraction pass on clean text — a small fraction of the cost of either path above.

Illustrative — relative per-document processing cost, not measured figures

The durable part: this doesn't just beat what we do today — it stays dramatically cheaper even after we grow enough to switch V1 from AI vision to traditional OCR. Both of those pay to recognize pixels; V2 skips recognition entirely. Per-document cost drops to the floor, so margins improve as the network grows instead of costs scaling with volume.

Where it fits

Now — V1

Fax automation gets us in the door, signs firms, and pays the bills. Nothing about V2 changes this.

Every firm we sign maps the providers around it — the practices they already trust and can introduce us to.

Then — V2

Provider Direct pilot with a handful of sole-owned practices our existing firms already work with.

V1 gets us in the door. V2 is the moat — and it gets cheaper to run as it gets bigger.

One save. The whole network moves.

Six safeguards. Zero effort. Every record, every time.