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Our Features

AI-powered system designed to streamline clinical trial recruitment by prescreening eligible patients in real-time using integrated clinical data. Enhancing diversity by focusing on underserved groups, while offering customizable search options to match specific trial criteria. Providing insights into enrollment trends, all while ensuring compliance with regulatory privacy standards.

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AI-Driven Prescreening

Uses artificial intelligence to automatically identify eligible patients for clinical trials based on electronic health records (EHR) and other real-world data, optimizing the prescreening process.

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Real-Time Eligibility Alerts

Provides clinical trial office, study team, and clinicians with real-time notifications when a patient becomes eligible for an open clinical trial, ensuring timely recruitment.

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Diverse Population Matching

Specifically designed to recognize underserved and underrepresented patient groups, such as racial minorities, non-English speakers, and Medicaid recipients, to enhance diversity in clinical trial enrollment.

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Customizable Search Parameters

Offers flexible filtering options for investigators to tailor patient matching criteria to their specific trial requirements, including age, diagnosis, genetic markers, and treatment history.

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Integrated Data Sources

Combines data from various systems like EHR (Epic), Pathology system, Lab system, and Clinical Trial Management Systems (CTMS), ensuring comprehensive and accurate patient data.

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Enrollment Optimization Insights

Analyzes patient matching data to identify trends and barriers in trial enrollment, offering insights for continuous improvement in recruitment strategies.

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Automated Follow-Up

Tracks and follows up on eligible patients who were flagged but not yet enrolled, helping to minimize missed recruitment opportunities.

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Compliance and Privacy

Ensures patient data is handled in accordance with HIPAA and other regulatory requirements, prioritizing data security and patient privacy.

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