Overview
Pharmacovigilance is a critical discipline that plays a key role in detecting, assessing, understanding and preventing adverse effects and other treatment-related issues, ensuring not only the individual patient safety, but also public health. The exponential increase in digital data from various sources presents significant challenges in effectively managing and harnessing this information into their actionable purposes.
Traditional methods of pharmacovigilance struggle to keep pace with the volume and diversity of data available, leading to delayed and inaccurate reporting of adverse events, hindering effective risk assessment and timely intervention.
AlertAE tackles these challenges by providing an advanced and intelligent solution. Leveraging cutting-edge technologies, it is designed to identify, extract, classify and auto-populate crucial fields for the initial case intake in pharmacovigilance. This comprehensive solution can handle a wide range of digital sources, ensuring efficient and accurate capture of essential information.
Benefits
Intelligent identification
Utilizes LLM and AI to identify adverse event reports from diverse digital media
Efficient extraction
Extracts crucial information from unstructured data, enhancing data accuracy and completeness
Accurate classification
Utilizes advanced machine learning to classify adverse events, product quality complaints and medical inquiries
Automated data entry
Auto-populates essential fields required for the initial case intake, reducing manual efforts and errors
Real-time monitoring
Provides real-time monitoring of digital content for immediate action and response to adverse events and product quality complaints