Implemented an AI-driven decision support system for a healthcare provider to enhance diagnostic accuracy and treatment recommendations. The system analyzed patient data, medical records, and research to provide actionable insights for healthcare professionals.
Key Features:
Predictive Analytics: ML algorithms to predict patient outcomes and treatment responses.
Personalized Recommendations: Tailored treatment plans based on individual patient data.
Integration: Seamless integration with existing healthcare management systems.
Technologies Used:
Frontend: React.js
Backend: AWS SageMaker, Amazon Q
Database: AWS DynamoDB
Outcome:
Improved diagnostic accuracy and patient outcomes, leading to enhanced decision-making and operational efficiency in the healthcare facility.
