CLINOVATE AI LAUNCHES NEW CLINICAL TRIAL MATCHING PLATFORM -LEARN MORE
Clinical Trial Matching
Accelerate patient recruitment with AI-powered matching that identifies eligible candidates from structured and unstructured data.
The Challenge
Patient recruitment is one of the most significant bottlenecks in clinical trials, with up to 80% of trials failing to meet enrollment timelines. Traditional recruitment methods are manual, time-consuming, and often miss eligible patients hidden in unstructured clinical notes.
Our Solution
Clinovate AI's Clinical Trial Matching platform uses advanced natural language processing and machine learning algorithms to analyze both structured and unstructured patient data, automatically identifying candidates who meet complex eligibility criteria.
Key Features
Intelligent Matching
Our AI algorithms understand complex inclusion/exclusion criteria and match them against patient profiles with high precision and recall.
Comprehensive Data Integration
Seamlessly connect to EHRs, clinical notes, lab results, and other healthcare data sources to create a complete patient profile.
Real-time Monitoring
Continuously monitor patient data to identify newly eligible candidates as their conditions change or as trial criteria are updated.