E-Triage: Advanced AI-powered Medical Triage System

1.0.0
2/15/2025
E-Triage: Advanced AI-powered Medical Triage System - AI Report
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Project Information

Created 2/15/2025 ⏱️ 2 months ago
Version 1.0.0

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Project Overview

A sophisticated medical triage platform powered by my custom-built AI models that automatically evaluates patient data to prioritize emergency department cases. The system analyzes vital signs, symptoms, and medical history to generate comprehensive diagnostic assessments with treatment recommendations for healthcare professionals, dramatically reducing wait times and improving patient outcomes in emergency settings.

Technologies Used

Custom AI Model Integration Node.js Express.js MySQL Database Clinical Data Processing Natural Language Processing Diagnostic Prediction Algorithms Symptom Analysis Engine Bootstrap 5 Medical Terminology Database Multi-language Support RESTful API Architecture Risk Assessment Protocol Patient Workflow Management Medical Data Encryption Automated Triage Protocol Real-time Patient Monitoring Medical Report Generation Clinical Decision Support

Key Features

Custom-built AI model for medical case prioritization

Manchester Triage Scale implementation with color-coding system

Interactive patient intake form with comprehensive symptom collector

Real-time vital signs monitoring and abnormality detection

Intelligent body pain location mapping with visual interface

Automated medical history analysis and risk factor identification

Differential diagnosis generation with probability assessments

Clinical procedure recommendations for medical staff

Required laboratory tests and imaging recommendations

Comprehensive semiological reporting for medical professionals

Patient vulnerability assessment based on age and comorbidities

Short-term prognosis estimation with complication risks

Medication recommendations with dosage calculations

French language medical terminology optimization

Fraudulent patient data detection algorithms

Responsive interface for desktop and mobile medical staff

Statistical error analysis with confidence intervals

Systematic patient database with follow-up tracking

Interactive dashboards for hospital department management

Waiting list prioritization based on severity scores