Healthcare Industry Solution

Autonomous Clinical Decision Support

Clinicians suffer burnout spending hours continuously reviewing disparate patient EHR records across different databases. Focus20 deploys multimodal AI agents that summarize longitudinal medical history, extract patterns from unstructured clinical notes, and suggest evidence-based diagnostic pathways—completely HIPAA-aligned on AWS.

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Business Value

Easing Clinical Burnout

Automating the extraction of medical codes and digesting massive patient charts restores physician bandwidth, ultimately accelerating clinical pathways and eliminating friction in the insurance prior-authorization process.

40%

Drop in Prior-Auth Rejections

3.5 Days

Faster Treatment Path

The Agentic Workflow

1. Agentic Stack

OCR Agent: Amazon Textract + Comprehend Medical.
Policy RAG: Pinecone Vector DB.
Decision Agent: Bedrock Claude 3 Sonnet.

2. Reasoning Loop (ReAct)

> Agent digests faxed clinical notes
> Queries Vector DB for specific payer's CPT code rules
> Extracts matching patient vitals/history
> Validates criteria constraints
> Formats a complete structured HL7/FHIR payload for payer

Enterprise Technical Architecture

Fully HIPAA-aligned architecture isolated within a secure AWS VPC, keeping patient data private.

Healthcare System Integration

Data Extraction: Amazon Textract digests legacy faxes and static PDFs.
Medical NLP: Comprehend Medical inherently maps recognized terms to RxNorm, ICD-10, and SNOMED CT Ontologies.
Vector Retrieval (RAG): Amazon OpenSearch Serverless indexes millions of clinical guidelines for precise semantic search.
Generation: Claude 3 Opus via Amazon Bedrock (Private deployment) generates clinical reasoning safely.

Cloud Migration Highlight

Migrated an aging on-prem Microsoft SQL Server EHR database to AWS RDS with a strictly enforced HIPAA-aligned configuration and a multi-region automated backup strategy.

graph TD EHR[EHR System] -->|VPC Link| API[API Gateway] API --> T[Amazon Textract] API --> C_MED[Comprehend Medical] T --> VEC[(OpenSearch DB)] C_MED --> VEC VEC --> RAG[RAG Workflow] RAG --> LLM[Claude 3 Agent on Bedrock] LLM --> DASH[Clinical Dashboard]

Deployment Timeline

Executing HIPAA-compliant AI integration at enterprise scale.

Phase 1: Weeks 1 - 4

De-identified Sandbox PoC

We execute the Agentic framework on strictly de-identified, synthetic clinical records to map the accuracy of Claude 3 Opus against your specific medical ontologies and ensure RAG hallucinations are zeroed out.

Phase 2: Weeks 5 - 10

VPC Integration & Copilot Mode

The agent is deployed directly inside your secure AWS VPC. It begins drafting preliminary diagnostic pathways and prior-authorization codes which are directly passed to a board-certified physician for final approval ("Copilot" mode).

Phase 3: Weeks 11 - 16

EHR Sync Authorization

Connecting the agent bidirectionally with Epic/Cerner via HL7/FHIR interfaces. Routine, lower-tier administrative workflows become fully autonomous, fundamentally accelerating patient treatment cycles.

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