AI EHR Software is a complete, production-ready Electronic Health Records system that combines traditional clinical workflows with artificial intelligence capabilities. Built with Python FastAPI and React, this full-stack application provides patient management, encounter tracking, medication management, vital signs monitoring, lab results, and clinical documentation—all enhanced by machine learning models for diagnosis assistance, drug interaction checking, risk prediction, clinical natural language processing, and automatic ICD-10 coding.
Designed for healthcare facilities, medical software developers, and health-tech startups, this source code package includes over 5,000 lines of professional code, complete API documentation, deployment guides, and user manuals. The system features role-based access control for admins, doctors, nurses, and patients, JWT authentication with bcrypt password hashing, and a HIPAA-compliant architecture. The AI models use synthetic data generation to improve diagnostic coverage and protect user information during training and testing phases. The technology stack includes FastAPI, SQLAlchemy with PostgreSQL support, React 18, Tailwind CSS, Hugging Face transformers for medical NLP, scikit-learn for predictive modeling, and sentence transformers for semantic search.
Key capabilities include ML-based disease prediction from patient symptoms with confidence scoring, AI-powered medication safety analysis with severity classification, patient risk scoring for readmissions and complications, natural language processing for clinical note analysis and entity extraction, automatic ICD-10 and CPT code suggestions from clinical documentation, early warning systems for unusual vital signs and patient deterioration, and semantic search across medical records. The responsive design works on desktop, tablet, and mobile devices with real-time data synchronization.
Buyers receive a non-exclusive, perpetual license to deploy, operate, and integrate this software into their business. You may build a materially new, closed-source product including SaaS or paid services for your own customers. You may modify the software for internal use. System requirements include Python 3.10 or higher, Node.js 18.0 or higher, PostgreSQL 13 or higher for production deployment, minimum 4GB RAM with 8GB recommended for AI features, and 2GB disk space for application and dependencies.
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