🟢 Interactive Demo · HCR-01⏱️ Try in ~2 min

EMR Structured Extraction

Auto-extracts 40+ fields from discharge summaries and maps to ICD-10 / LOINC / SNOMED.

👉 For
Clinical researcher / Physician
😖 Current pain
Resident manual entry: 800 charts in 3 months · 12% error/omission rate.
✨ With AI
30 minutes total · auto-standardized · 3% error rate.
📜 Customer story

Dr. Anderson, cardiology chief at an academic medical center, is running a heart-failure outcomes study and needs 40+ fields extracted from 800 discharge summaries. Resident manual entry would take 3 months. Drag the 800 PDFs into Orion — 30 minutes later, every chart is parsed and standardized to SNOMED / ICD-10 / LOINC.

🎮 Interactive demo

Real functional demo · auto-plays after case selection
📁 Live Case
68yo M · Acute Decompensated Heart Failure (HFrEF)
Robert Anderson (simulated) · MRN AC2026-1023 · LOS 14 days · Cardiology service
AUTO-PLAYING
→
→
→
→
→

📤 EMR Upload & OCR

🛠️ PaddleOCR 2.7 + medical layout model

Receiving discharge summary PDF (multi-format · 99.2% accuracy)

Stanford Medical Center · Discharge Summary
DISCHARGE SUMMARY
Robert Anderson (simulated) · MRN AC2026-1023
CHIEF COMPLAINT: Worsening dyspnea on exertion x 2 weeks, leg swelling.

HISTORY OF PRESENT ILLNESS: 68 y/o male with known HFrEF (LVEF 35%), CAD s/p PCI 2022, T2DM,
HTN, CKD stage III, presenting with progressive dyspnea, orthopnea, and bilateral lower extremity
edema. Admitted for acute decompensated heart failure.

PAST MEDICAL HISTORY: HFrEF, CAD, T2DM, HTN, CKD III, hyperlipidemia.

PHYSICAL EXAM: BP 142/88, HR 102, RR 22, SpO2 92% RA. JVP elevated. Bibasilar crackles. S3 gallop.
2+ pitting edema bilateral lower extremities.

LABS: NT-proBNP 3,856 pg/mL (H), Troponin I 0.04 ng/mL, Creatinine 1.5 mg/dL, eGFR 48,
Sodium 134 mEq/L (L), Potassium 4.2, HbA1c 7.8%.

IMAGING: Echo - LVEF 32%, ...
🤖 OCR Processing
Text recognition0%
Pages
3
Lines extracted
147
Accuracy
99.2%
Time
2.4s

⚙️ AI processing pipeline

Tech stack, concrete operations and processing time at each step

1

PDF / image pre-processing

⏱ 2.4s
🛠️ Tech stack
PaddleOCR 2.7 + custom medical layout model + image enhancement
📋 Operation

Handles printed + photocopied + handwritten content; medical layout detection (chief complaint / HPI / labs / discharge orders); deskew + denoise.

2

Section segmentation

⏱ 0.8s
🛠️ Tech stack
BERT-Medical fine-tuned + rule engine
📋 Operation

Identifies 8 sections: chief complaint, HPI, past history, physical exam, labs/imaging, admission diagnosis, treatment course, discharge orders — 98.7% accuracy.

3

Medical entity extraction

⏱ 3.2s
🛠️ Tech stack
BiLSTM-CRF + BERT-NER + BioMedBERT
📋 Operation

Extracts 12 entity classes: disease, symptom, medication, dose, lab test, lab value, procedure, anatomic site, time, negation, severity, response.

4

Relation extraction

⏱ 1.7s
🛠️ Tech stack
Graph Neural Network + dependency parsing
📋 Operation

Identifies relations: disease-treatment / medication-dose / lab-result / procedure-time; constructs patient treatment timeline.

5

Terminology standardization

⏱ 1.5s
🛠️ Tech stack
Multi-source KG fusion (ICD-10 + ICD-11 + LOINC + ATC + SNOMED-CT)
📋 Operation

Disease → ICD-10 (98.2%); medication → ATC (99.5%); lab → LOINC (95.4%); procedure → ICD-9-CM/CPT.

6

Value & unit normalization

⏱ 0.6s
🛠️ Tech stack
Regex + LLM fallback + unit-conversion engine
📋 Operation

Unifies units (LVEF % / NT-proBNP pg/mL); identifies reference ranges; flags abnormals (↑↓★); handles clinical shorthand.

7

Timeline reconstruction

⏱ 0.9s
🛠️ Tech stack
Event-time inference + causal graph
📋 Operation

Builds full patient treatment timeline: admission → workup → diagnosis → procedure → medication → discharge → readmission.

8

CRF field population

⏱ 0.4s
🛠️ Tech stack
CRF template engine + REDCap/Excel export adapter
📋 Operation

Fills extracted values into research CRF (40+ fields); flags per-field confidence; one-click CSV / Excel / REDCap export.

💰 ROI across three dimensions

Itemized indicators across each dimension for a complete view

💰

Financial

Per-chart cost $7 → $0.30
⏱️

Efficiency

800 charts: 3 months → 30 min
error rate 12% → 3%
🏢

Organizational

Research output 1-2 papers/yr → 5-8 papers
institutional real-world database accumulates

🧩 AI capabilities used

A1OCR (Optical Character Recognition)· PerceptionA2Document Layout Parsing· PerceptionB1Information Extraction (Entity/Relation/Event)· UnderstandingB4Knowledge Graph Construction· Understanding

Want to deploy in your Healthcare?

Orion 4-12 weeks delivery · on-premise option · fully compliant

Calculate ROI →Delivery process