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Case study · Performance

How fast can you process a faxed referral?

Basalt HealthJune 2026

When a referral comes through on the fax line, the intake clock starts when the last page lands, not the first. On a dense document, that wait can stretch past an hour. We ran nine tests across different page counts and document types to see exactly where the time goes, and whether streaming changes the math.

1.6–13.2×
faster to a clinical answer
~2min
first page on screen
~8min
admission decision ready

The challenge: the clock starts when the last page lands

When a referral arrives by fax, someone on the intake team is stuck waiting for every last page before they can do anything useful with it. On a dense, image-heavy document, that wait can run well past an hour. Streaming changes when the first page shows up, but in most workflows that early arrival doesn't help anyone, because a person still can't decide until the whole packet is in front of them. The intake clock keeps running.

The finding: Basalt turns the streaming window into a clinical answer

Because Basalt starts running admission criteria at page four, the clinical answer is ready well before the fax has even finished coming through. Facesheets run two to three pages, so once page four lands, Basalt has enough to check the referral against your criteria and surface an answer, on a typical or dense referral, around the eight-minute mark instead of somewhere past the hour.

  • Sparse documents (15–50 pages): 1.6–5.8× faster
  • Typical documents (mixed text, tables): 3.3–10.3× faster
  • Dense documents (images, poor compression): 3.2–13.2× faster

Where the time goes

Take one representative case: a 50-page typical referral at 4.92 MB. Without streaming, the whole packet takes 1h 23m to arrive. Streaming gets the first page on screen in about a minute and a half, but the decision still waits for the rest. Basalt fires inference at page four and has a clinical answer in eight minutes.

Without streaming · wait for full fax1:23:04
Streaming alone · first page, still waiting1:30 → 1:23:04
Streaming + Basalt · inference at page 48:05
030 min60 min90 min

50-page typical referral · 4.92 MB, plotted on a 90-minute axis. Streaming exposes a window; Basalt uses it, with no change to the referring facility's workflow and no waiting for the last page.

Test results

Nine tests on a streaming-capable fax line, across page count and document complexity. Times are measured from fax send. "First inference" is Basalt running admission criteria on the first four pages.

TestPagesFile sizeFull fax deliveredFirst pageFirst inferenceImprovement
Sparse · mostly whitespace, long pixel runs
1a15221 KB3:421:062:171.6×
1b25370 KB8:531:222:253.7×
1c50742 KB16:211:372:485.8×
Typical · mixed text and tables, moderate transitions
2a151.47 MB25:481:347:553.3×
2b252.46 MB41:411:117:385.5×
2c504.92 MB1:23:041:308:0510.3×
Dense · many transitions, photos and images, poor compression
3a151.61 MB28:281:548:473.2×
3b252.68 MB45:421:268:295.4×
3c505.37 MB1:32:383:157:0213.2×

Times as mm:ss or h:mm:ss from fax send. G4-compressed TIFF over PSTN, streaming-capable line. Preliminary results, synthetic faxes.

What the data shows

01

Non-streaming time scales with pages

A 50-page typical referral takes 1h 23m end to end; at 15 pages, 25 minutes. The intake clock starts when the last page lands.

02

Streaming holds first-page time flat

First page arrived in 1:06–3:15 across all nine tests, regardless of document length.

03

Basalt fires inference at page four

Facesheets run two to three pages. Once page four lands, Basalt can run admission criteria and surface a clinical answer in 7–8 minutes.

04

Bigger referrals, bigger gains

Small sparse referrals: 1.6× faster. Large dense referrals: 13.2×. The slowest documents see the biggest gains, roughly 75 minutes faster on a dense 50-page referral.

Streaming exposes a window. Basalt closes the gap on the receiving side and uses it, with no change to the referring facility's workflow, no change to the fax number, and no waiting for the last page.

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