AI-Powered Diagnostic Lab Report Processing

Stop manually transcribing lab results. Let AI structure them instantly.

Extract, validate, and route diagnostic lab report data automatically — with 99%+ accuracy. Support for blood panels, pathology reports, radiology findings, and more. No templates, no training, no IT dependency.

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CBC_Report_Raj_Sharma.pdf
Approved
Lipid_Panel_Priya_Nair.pdf
Processing
LFT_Report_Arjun_Mehta.pdf
Flagged

Lab Report Processing Is Still a Manual Bottleneck

Healthcare providers, insurers, and diagnostic chains are stuck re-keying structured data that already exists in reports. Here's the real cost:

Slow Manual Transcription

Clinical staff spend 10–20 minutes per report manually entering values into EHRs and LIS platforms, creating dangerous backlogs.

Transcription Errors Risk Patient Safety

Manual data entry introduces 3–5% error rates in lab values — misread critical flags can delay diagnoses or cause incorrect treatment decisions.

High Operational Cost at Scale

Processing thousands of reports daily requires large data-entry teams. At diagnostic labs processing 500+ reports/day, labor costs run into lakhs per month.

Unstructured Data Blocks Downstream Analytics

Scanned PDFs and image-based reports lock critical health data in unstructured formats, making population health analytics and AI diagnostics impossible.

Built for the Complexity of Lab Reports

Diagnostic reports are among the most structured yet varied documents in healthcare. Docstruct handles them all.

Multi-Panel Extraction

Automatically extract values, units, reference ranges, and abnormal flags from CBC, LFT, KFT, lipid panels, thyroid profiles, HbA1c, and 250+ report types.

Reference Range Validation

Auto-validate extracted values against age- and gender-adjusted reference ranges. Flag out-of-range values and critical alerts before they reach downstream systems.

Multi-Format Support

Handles scanned PDFs, digital lab printouts, handwritten annotations, and multi-page reports from any lab — Thyrocare, SRL, Metropolis, in-house, and beyond.

Confidence Scoring per Field

Every extracted value — from hemoglobin to creatinine — gets an individual confidence score. Low-confidence fields are auto-routed for human review.

Longitudinal Trend Detection

Compare extracted values across multiple reports for the same patient to flag clinically significant trends and surface insights automatically.

EHR & LIS Integration

Push structured lab data directly into Epic, Practo, Meddbase, or any LIS via HL7 FHIR, REST API, or webhook — no middleware needed.

From Scanned Report to Structured Lab Data

See exactly how Docstruct extracts every test parameter — with reference ranges, units, abnormal flags, and confidence scoring — ready for downstream use.

Diagnostic Lab Report

Pathology_Report_MR906122.pdf

Fields: 12/12 verified
🔬

MACCA DIAGNOSTIC

Suite #1, Mehar Centre, Multan

Patient Name

HINA NOUMAN

Age / Gender

32 Y 3 M / Female

MR No.

906122

Registration Date

08-Oct-2024 10:23 pm

Haematology

CBC - Complete Blood Count

ParametersResult(s)Unit(s)Reference
Total WBC9.84x10⁹/L4.0-11.0
Total RBC3.91x10¹²/L4.5-6.0
Hemoglobin10.0g/dl12-16
HCT31.4%37-47
Platelet Count395x10⁹/L150-400
Neutrophils66.8%40-75
Lymphocytes28.0%20-40

Test performed on State of the ART equipment BC-760 (7 Parts Differential Hematology Analyzer)

Extracted Patient & Report Fields

Patient Name
Hina Khan
Patient ID
MR906122
Age / Gender
34 / Female
Lab Name
MediCare Diagnostics Pvt Ltd
Referring Doctor
Dr. A. Mehra
Sample Collected
17 Jul 2025, 08:45 AM
Report Generated
17 Jul 2025, 11:10 AM

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Set up your first diagnostic report pipeline in under 15 minutes. Works with any lab format. No template training required.

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