Healthcare
Multimodal patient intake with schema-constrained extraction
Intake pipeline that parses forms, IDs, and clinical photos into a clean patient record with confidence scoring and human review queue.
>95%
field-level extraction accuracy
~90%
reduction in manual data entry
Days
to backfill years of archives
Challenge
Intake forms came in as PDFs, photos, and faxed scans. Manual entry was expensive and error-prone, and downstream systems needed strictly typed data.
Approach
- Layout-aware parsing + vision-language extraction with schema validation
- Cross-field business-rule validators for clinical coherence
- Confidence scoring routes low-confidence items to a review queue
- Backfill of historical archives in parallel batches
Outcomes
Clean
typed records into downstream systems
Review UI
on anything below confidence threshold
Stack
AWS Textract
Claude Vision
OpenAI Structured Outputs
AWS Lambda
Related solutions
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