HealthcareTimeline: 3 Months • Year: 2025
SynthDoc Intelligent Clinical Document Pipeline
HIPAA-compliant document parsing, vector indexing, and structured data extraction.
PythonFastAPINext.jspgvectorOpenAI APIAWS S3
85%
Reduction in Manual Data Entry
14s
Average Document Processing Time
99.4%
Extraction Schema Accuracy
100%
HIPAA Security Compliance
The Engineering Challenge
Healthcare practitioners spent over 20 hours per week manually extracting patient history, medications, and diagnoses from scanned PDFs with high clerical error rates.
System Architecture & Decisions
To solve this without creating maintenance overhead or operational fragility, we implemented the following technical pillars:
Secure OCR extraction pipeline with automated document de-identification and PII redaction.
Hybrid vector and keyword search powered by PostgreSQL and pgvector for semantic clinical reference lookups.
Zod and Pydantic validation schemas enforcing strict JSON structure and confidence scoring on every extracted entity.
Next.js web review portal featuring side-by-side PDF preview with click-to-highlight source citations.
The Delivered Solution
Built a compliant end-to-end ingestion pipeline and reviewer interface enabling clinicians to verify extracted patient attributes in seconds with complete source transparency.
Project Overview
SectorHealthcare
Engagement3 Months
Client FocusHealthcare Technology
Delivery Year2025
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