Normalized claim
Documentation errors: 46% decrease
"Guardoc reports a 46 percent reduction in documentation errors"
How Guardoc transforms medical document processing with Amazon Nova models
Use case typeMedical document automationUpdated 2 days ago
Guardoc Health helps skilled nursing facilities and assisted living centers extract, classify, and act on complex clinical documents faster and more accurately than manual review. The pipeline uses Amazon Bedrock with Amazon Nova models, Amazon Textract, Amazon Titan Text Embeddings V2, and Amazon DynamoDB to process handwritten, checkbox-heavy, and mixed-format medical documents. The solution combines RAG, patient-scoped retrieval, cost-tiering between Nova 2 Lite and Nova Pro, and hybrid OCR plus multimodal reasoning for compliance-sensitive long-term care workflows.
- Organization
- Guardoc Health
- Industry
- Healthcare
- Location
- United States
- Published
- July 2026
Reported outcomes
400,000 USD
annual ROIRevenue & growth
−46%documentation errors−70%audit fines−74%hospital transfers per 100 admissions847 countdocumentation corrections86 countPDPM-impact issues addressed
Strategic outcomes
Risk & complianceReduced compliance and audit riskCost efficiencyAutomated manual document review at scaleOther strategic outcomeImproved safer, higher-quality careScale & capacityProcessed more than 1 million documents on peak days
Why do we believe this?Outcome claims, sources, and evidence checks
Normalized claim
Audit fines: 70% decrease
"70 percent fewer audit fines"
Normalized claim
Annual ROI: 400,000 USD increase
"over $400K in annual return on investment (ROI) for a single facility"
Normalized claim
Hospital transfers per 100 admissions: 74% decrease
"a 74 percent reduction in hospital transfers per 100 admissions"
Normalized claim
Documentation corrections: 847 count increase
"847 documentation corrections"
Normalized claim
PDPM-impact issues addressed: 86 count increase
"86 PDPM-impact issues"
Normalized claim
Issues identified: 10,612 count increase
"Guardoc identified 10,612 issues"
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- Guardoc Health
- Provider
- AWS
- Maturity
- Unknown
- Linked source
- AWS Blog
No explicit deployment-stage evidence found.
Customer identity supportedSource describes one deploymentMaturity evidence evaluated
Primary read
Use case focus
Showing 3 of 3
- 1Medical document automation
- 2Clinical documentation
- 3Intelligent document processing
- Clinical documentation is fragmented, inconsistent, error-prone, and difficult to process at scale.
- Documents include handwriting, tables, checkboxes, stamps, and mixed formats that are hard to extract accurately.
- The workflow must support traceability, compliance, and financial stakes in long-term care.
- Built a multi-stage pipeline on Amazon Bedrock.
- Used Amazon Textract for OCR and structured extraction.
- Used Amazon Titan Text Embeddings V2 and patient-scoped retrieval for RAG.
- Used Amazon Nova 2 Lite for coarse filtering and Amazon Nova Pro for multimodal PDF reasoning.
- Paired Textract with Nova Pro for hybrid medication extraction and complex layouts.
- Reported 46% average reduction in documentation errors.
- Reported 70% fewer audit fines.
- Reported over $400K annual ROI for a single facility.
- Improved visibility into facility-level risk patterns.
- In a two-facility quarterly deployment, identified 847 documentation corrections and 86 PDPM-impact issues.
Architecture
Guardoc Health built a multi-stage clinical document processing pipeline on Amazon Bedrock using Amazon Nova models, Amazon Textract, Amazon Titan Text Embeddings V2, and Amazon DynamoDB. The design uses RAG with patient-scoped retrieval, cost-tiering with Amazon Nova 2 Lite for coarse filtering, and Amazon Nova Pro for multimodal reasoning over PDFs, handwriting, checkboxes, forms, and mixed-format medication documents.
Sources & evidence1
Evidence: Low35/100Evidence strength
- Customer explicitly identified
- Quantified outcome available
- Technical implementation details available
Type: Blog PostPublished: Jul 27, 2026Publisher: AWSEvidence: VendorConfidence: High
AI-generated summary. Verify important details with the linked sources before relying on this case.
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