Turn Mountains of Medical Records
Into Actionable Insights
NLP-powered system that analyzes medical records at scale — extracting diagnoses, medications, procedures, and risk factors with clinical-grade accuracy for compliance, research, and care optimization.
Extraction Accuracy
Faster Than Manual Review
Records Per Hour
Audit Trail Coverage
// The Challenge
Why This Matters
Healthcare organizations sit on terabytes of unstructured clinical data — physician notes, discharge summaries, lab reports, imaging narratives. This data contains critical insights for patient care, compliance audits, and population health — but extracting it manually is impossible at scale. Traditional NLP tools miss medical nuance and context.
// Our Approach
How We Solve It
We build a medical NLP pipeline using fine-tuned clinical language models (based on BioBERT, ClinicalBERT, and GPT-4) that extract structured data from unstructured clinical documents with 95%+ accuracy.
The system identifies diagnoses (ICD-10), medications (RxNorm), procedures (CPT), lab values, social determinants, and risk factors. It builds comprehensive patient profiles from fragmented records across multiple providers and systems.
Use it for population health analytics, risk stratification, compliance audits, clinical research cohort identification, or automated quality measure reporting. Every result is traceable back to the source document with confidence scores.
// Features
Key Capabilities
Clinical Entity Extraction
Identify diagnoses, medications, dosages, allergies, procedures, and lab values from free-text clinical notes.
Medical Coding Automation
Automated ICD-10, CPT, and RxNorm coding suggestions from clinical documentation with confidence scoring.
Risk Stratification
Patient risk scoring based on aggregated clinical data — identify high-risk patients for proactive intervention.
Longitudinal Patient Profiles
Build comprehensive patient timelines from fragmented records across multiple providers and systems.
Compliance & Audit Reports
Automated quality measure reporting, HEDIS calculations, and compliance documentation.
Research Cohort Discovery
Query natural language criteria to find patient cohorts for clinical trials and research studies.
// Ideal For
Who This Is For
- Hospital systems consolidating patient records across acquisitions
- Health plans performing risk adjustment and quality reporting
- Clinical research organizations building trial cohorts
- Compliance teams auditing documentation quality
- Population health teams identifying at-risk patients
// Technology
Tech Stack
// More Healthcare Solutions
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// Ready to Start?
Unlock Your Clinical Data
Let's discuss how records analyzer can solve your biggest challenges. Free consultation — no commitment.