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From Home Sleep Test to Diagnosis in 72 Hours: Automating the Diagnostic Bottleneck

Replacing a 3–4 week manual process of faxed results, manual data entry, and follow-up calls with an automated pipeline that delivers diagnosis-ready results in 72 hours — reducing patient drop-off from 35% to 5%.

Automate Your Diagnostic Pipeline

About the Project

An automated home sleep test pipeline that tracks every referral from order to diagnosis, with OCR result extraction, auto-populated diagnostic fields, AI severity classification, and a doctor review queue. It cuts turnaround from weeks to hours and stops patient drop-off mid-journey.

Industry

Healthcare & Dental Sleep Medicine

Home sleep testing and oral appliance therapy for obstructive sleep apnea.

  • Dental Sleep Medicine
  • Home Sleep Testing
  • Sleep Apnea Diagnosis
Business Type

High-volume sleep testing practices

Practices ordering 50+ home sleep tests a month and drowning in faxed results.

  • 50+ HSTs Monthly
  • Multi-Lab Referrals
  • Fax-Heavy Workflow
Core Offering

Automated HST referral, OCR result extraction, and diagnosis pipeline

Every HST tracked from order to diagnosis-ready result in 72 hours.

  • One-Click Referral
  • OCR Extraction
  • AI Severity Flags
  • Doctor Review Queue
Diagnostic Data Captured

Every metric a sleep study reports

Key sleep metrics are extracted from incoming reports and populate the diagnosis.

  • AHI & RDI
  • SpO2 Nadir
  • Sleep Stages
  • Severity Class
Integrations

Connected Labs and Imaging

Preferred lab routing, integrated fax for paper labs, and DICOM import for imaging.

  • Preferred Lab Routing
  • Integrated Fax
  • DICOM Import
Build your idea

Talk to our experts

Scope your own automated sleep test pipeline with our healthcare team.

  • Free Consultation

The Problem: A Diagnostic Gap Losing Patients

A slow, manual diagnostic gap was losing patients.

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.
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

  • Automated Referral & Lab Routing

    Automated Referral & Lab Routing

    Automated Referral & Lab Routing

    • One-click HST referral directly from the patient case
    • Preferred lab management with auto-routing by insurance & location
    • Integrated fax service for labs still requiring paper referrals
  • OCR-Powered Result Extraction

    OCR-Powered Result Extraction

    OCR-Powered Result Extraction

    • Incoming sleep-study OCR auto-extracts AHI, RDI, SpO2 nadir & stages
    • Auto-populate diagnosis fields from OCR-extracted metrics
    • DICOM import for any accompanying imaging studies
  • AI Severity Classification & Review

    AI Severity Classification & Review

    AI Severity Classification & Review

    • AI-flagged severity classification: mild, moderate, severe
    • Doctor review queue for pending interpretations prioritized by severity
    • Doctor review time reduced from 20 minutes to 5 minutes per study
  • Patient Communication & Follow-Up

    Patient Communication & Follow-Up

    Patient Communication & Follow-Up

    • Automated patient notification when results are ready for review
    • Seamless transition from diagnosis to treatment planning
    • Complete audit trail from HST order through final diagnosis
  • Lab Performance & Exceptions

    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

Challenges: Manual Processes Killing Diagnostic Throughput

Hover a row to see what changed.

Why This Platform Transforms Diagnostic Workflows

We built an end-to-end automated pipeline that handles every step from HST referral to diagnosis — OCR extraction, AI classification, doctor review queues, and patient notification — eliminating manual work and patient drop-off.

The Impact: Diagnosis Turnaround Measured in 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

Global presence

Three offices. One team.

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