AI Health Assistant
Extracts clinical findings from reports and delivers clinician-ready summaries and urgency scores for faster triage.
Trusted by
Built on production-grade Mistral OCR and Google Gemini with LangChain output parsing; includes install docs and JSON scaffolds. Clinical use requires institutional validation.
Success Story
Aidoc reduced CT intracranial hemorrhage turnaround from 186.7 → 72.3 minutes (61.2% reduction) using AI triage for ICH. (Example of comparable AI triage, not AI Health Assistant).
Integrates with
Problem
Clinicians waste time reading high volumes of heterogeneous documents (scanned notes, PDFs, imaging reports). This increases triage delays, causes inconsistent prioritization, and contributes to backlog in EDs and specialty clinics.
Solution
AI Health Assistant ingests uploaded clinical documents via a secure webhook, extracts text with Mistral OCR, evaluates content with Google Gemini using LangChain prompts and a JSON schema, flags urgent findings, outputs a concise summary, and logs structured results in Google Sheets for review and audit.
Result
Deployments of comparable AI triage systems reported measurable reductions in turnaround and transfer times and high diagnostic accuracy in narrow tasks. Users can expect faster notification and reduced manual review time after local validation.
Use Cases
AI Health Assistant automates the front-line review of clinical documents — discharge notes, radiology reports, referral letters, and scanned PDFs. Using production OCR to turn images/PDFs into text and a controlled LLM pipeline for clinical interpretation, the agent: (1) extracts key findings, (2) assigns an urgency label (low/medium/high/critical) plus a numeric triage score, (3) produces a concise, clinician-ready summary with suggested next steps, and (4) appends a structured record to a secure log (Google Sheets or other storage). The workflow is implemented as an n8n orchestration (secure webhook intake → OCR node → LLM evaluation via LangChain → JSON output parser → append/update node). The package includes installation docs, prompt templates, and a JSON scaffold for rapid import. Clinical deployment requires local validation and governance.
Integrations
Connect to your existing tools seamlessly
Technology Stack
Automation
Automation
Infrastructure
Implementation Timeline
Prep & Credentials
1-2 daysSet up n8n, create Google Sheet, obtain Mistral & Gemini API keys.
Workflow Import
1 dayImport n8n JSON scaffold and set environment variables.
Form & OCR Validation
1-2 daysTest uploads and OCR extraction quality on sample docs.
Prompt Tuning & Schema
2-4 daysAdjust prompts and LangChain schema to match local report styles and scoring rules.
Clinical Validation & QA
3-7 daysCompare agent outputs vs clinician reviews; iterate thresholds.
Support Included
Comprehensive documentation with step-by-step workflow setup, API configuration guides, integration instructions. Optional onboarding call and email support during the launch phase.
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