Core capabilities
Patient case management
Create, organize, and track patient cases with comprehensive data management and secure storage.
Document processing
Upload and process PDF lab reports and radiology images with intelligent text extraction and AI analysis.
AI-powered analysis
Leverage multi-agent AI workflows powered by LangGraph to analyze medical documents and generate clinical insights.
SOAP note generation
Automatically generate structured SOAP notes from case data for standardized clinical documentation.
Diagnosis support
Get AI-assisted primary diagnoses with ICD-10 codes, confidence scores, and supporting evidence.
Secure authentication
Robust user authentication and authorization powered by Supabase Auth for data privacy and access control.
Key benefits
For healthcare professionals
- Save time on documentation - Automatic SOAP note generation reduces manual documentation effort by up to 70%
- Make informed decisions - AI-assisted diagnoses with confidence scores and supporting evidence help validate clinical reasoning
- Streamline workflows - Centralized case management eliminates context switching between multiple systems
- Improve accuracy - Automated extraction of lab values and image findings reduces transcription errors
For healthcare organizations
- Enhance quality of care - Standardized documentation ensures consistent clinical practices across providers
- Increase efficiency - Faster case processing allows clinicians to see more patients without sacrificing quality
- Reduce costs - Automated workflows decrease administrative overhead and operational expenses
- Support compliance - Structured data formats facilitate reporting and regulatory compliance
Technology highlights
Multi-agent AI system
Multi-agent AI system
MedMitra uses specialized AI agents powered by LangGraph to process different types of medical data:
- Medical Insights Agent - Orchestrates the complete analysis workflow using LLM-based reasoning
- Vision Agent - Analyzes radiology images with multimodal vision models
- Document Parser - Extracts structured data from PDF lab reports
State-of-the-art language models
State-of-the-art language models
MedMitra leverages Groq’s ultra-fast inference infrastructure with state-of-the-art models:
- Llama 3.3 70B - For medical text analysis, SOAP notes, and diagnosis generation
- LLaVA Vision Scout - For radiology image interpretation and finding extraction
Confidence scoring
Confidence scoring
Every AI-generated insight includes a confidence score (0.0 to 1.0) that helps clinicians understand the reliability of the analysis:
- 0.8 - 1.0 (High) - Strong evidence and clear clinical patterns
- 0.6 - 0.79 (Moderate) - Reasonable confidence with some ambiguity
- 0.0 - 0.59 (Low) - Uncertain findings requiring further investigation
Secure architecture
Secure architecture
MedMitra is built with healthcare data security at its core:
- End-to-end encryption - All sensitive medical data is encrypted in transit and at rest
- Row-level security - Database policies ensure users can only access their own cases
- Secure file storage - Medical documents are stored in isolated Supabase Storage buckets
- Audit logging - All system actions are logged for compliance and security monitoring
Get started
Ready to explore MedMitra’s capabilities? Follow our getting started guide to set up the system and create your first case.Quickstart guide
Get up and running with MedMitra in minutes
Installation
Complete installation guide for both frontend and backend
Create your first case
Step-by-step tutorial for creating and analyzing a patient case
API reference
Integrate MedMitra into your existing healthcare applications
MedMitra is designed to assist healthcare professionals, not replace clinical judgment. All AI-generated insights should be reviewed by qualified medical practitioners before use in patient care.