AI That Reads Medical Records Like a Clinician
HIPAA-compliant NLP system that parses clinical notes, extracts diagnoses, medications, and procedures, and maps them to standardized medical codes — with 94% accuracy.
In clinical entity extraction
In manual chart review time
In coding accuracy vs. manual process
Full PHI protection and audit trails
In clinical entity extraction
In manual chart review time
In coding accuracy vs. manual process
Full PHI protection and audit trails
// The Challenge
What We Were Solving
Healthcare organizations struggle with unstructured clinical notes that contain critical patient information. Manual chart review is time-consuming and inconsistent. Accurate coding is essential for billing, compliance, and clinical decision support.
// Our Approach
How We Built It
Fine-tuned medical language models (BioBERT + custom transformers) on anonymized clinical notes
Built entity extraction pipeline for medications, diagnoses, procedures, and lab results
Implemented ICD-10 and CPT code mapping with confidence scoring
Created HIPAA-compliant infrastructure with encryption at rest and in transit, audit logging, and access controls
// Key Features
What We Delivered
- Clinical entity extraction: diagnoses, medications, procedures, lab results
- ICD-10 and CPT code mapping with confidence scoring
- De-identification of PHI for research and analytics
- Integration with EHR systems via FHIR/HL7
- Clinician review dashboard for low-confidence extractions
- Continuous model improvement from clinician feedback
// Technology Stack
Built With
// Related Service
AI/ML Development
AI/ML Development & Integration
Custom AI systems built for your domain — not wrappers around ChatGPT. We develop production-grade models, RAG pipelines, and intelligent features that give you a real competitive edge.
Learn More// Results
Measurable Impact
In clinical entity extraction
In manual chart review time
In coding accuracy vs. manual process
Full PHI protection and audit trails
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