3-4 Weeks
The gap between ordering a home sleep test and interpreting results was the single biggest patient drop-off point — averaging 3-4 weeks with lost results, manual entry errors, and patients who gave up waiting.
Home Sleep Test to Diagnosis in 72 Hours
An automated pipeline that delivers diagnosis-ready sleep test results in 72 hours.
Automate Your Diagnostic PipelineAbout the Project
A home sleep test pipeline with OCR extraction, AI severity classification, and a doctor review queue.
Industry
Healthcare & Dental Sleep Medicine
Home sleep testing and oral appliance therapy for obstructive sleep apnea.
Business Type
High-volume sleep testing practices
Practices ordering 50+ home sleep tests a month and drowning in faxed results.
Core Offering
Automated HST referral, OCR result extraction, and diagnosis pipeline
Every HST tracked from order to diagnosis-ready result in 72 hours.
Diagnostic Data Captured
Every metric a sleep study reports
Key sleep metrics are extracted from incoming reports and populate the diagnosis.
Integrations
Connected Labs and Imaging
Preferred lab routing, integrated fax for paper labs, and DICOM import for imaging.
Build your idea
Talk to our experts
Scope your own automated sleep test pipeline with our healthcare team.
The Problem: A Diagnostic Gap
A slow, manual diagnostic gap was losing patients.
50+ HSTs
A high-volume practice ordering 50+ HSTs per month was drowning in faxed results, manual data entry, and follow-up calls. Staff spent hours re-entering AHI scores and calling patients who had fallen through the cracks.
Automate All
The goal was to automate every step from HST order to diagnosis-ready results — lab routing, result tracking, data extraction, severity classification, and doctor review.
From 3–4 weeks of manual tracking
to automated diagnosis-ready results
in just 72 hours
Streamline Your HST Workflow
Our Solution
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Automated Referral & Lab Routing
Automated Referral & Lab Routing
- One-click HST referral directly from the patient case
- Labs auto-routed by insurance and location
- Integrated fax for labs still on paper
-
OCR-Powered Result Extraction
OCR-Powered Result Extraction
- OCR extracts AHI, RDI, SpO2 nadir, and sleep stages
- Diagnosis fields populated from extracted metrics
- DICOM import for accompanying imaging
-
AI Severity Classification & Review
AI Severity Classification & Review
- AI-flagged severity classification: mild, moderate, severe
- Review queue prioritized by severity
- Review time cut from 20 minutes to 5 per study
-
Patient Communication & Follow-Up
Patient Communication & Follow-Up
- Patients notified when results are ready
- Seamless transition from diagnosis to treatment planning
- Audit trail from order to final diagnosis
-
Lab Performance & Exceptions
Lab Performance & Exceptions
- Stalled studies flagged before the patient calls to ask
- Turnaround and remake rates compared across labs
- Unreadable studies rerouted for retest automatically
Why It Transforms Diagnostic Workflows
A pipeline from HST referral to diagnosis: OCR extraction, AI classification, review queues, alerts.
OCR Result Extraction
AHI, RDI, SpO2 nadir, and sleep stages extracted with no data entry.
AI Severity Classification
Severity flags prioritize the review queue, cutting reads to 5 minutes.
Automated Lab Routing
Labs routed by insurance and location, with fax for those still on paper.
Zero-Drop-Off Pipeline
Every HST tracked order to diagnosis, so no patient is lost mid-process.
The Impact: Hours, Not Weeks
Every number below was measured in production after launch — not projected in a pitch deck.
72 Hrs
Diagnosis Turnaround — Down from 3–4 Weeks
5%
Patient Drop-Off — Reduced from 35%
100%
Manual Entry Eliminated — OCR Handles All Data Extraction
75%
Faster Doctor Review — 20 Min → 5 Min Per Study
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