Clinical Trial Eligibility Engine

The Clinical Trial Eligibility Engine template provides an accelerated starting point for automating the complex pre-screening and matching phases of clinical research.

The application processes patient data through a targeted two-stage logic path to ensure protocol precision:

• Demographic Filter (Decision Tree): The system first validates the patient against foundational Age and Gender requirements. This initial gatekeeping layer ensures the patient fits the broad demographic scope of the research portfolio before moving to more intensive clinical analysis.
• Study-Specific Matching (Adjudication Table): For patients who pass the demographic filter, the engine applies sophisticated logic to evaluate the core clinical profile. It cross-references the patient's Diagnosis, Treatment History, and Vitals against a multi-study matrix. This results in a trial-by-trial recommendation of Eligible, Ineligible, or Review Required, complete with a reason code for the decision.

• Eligibility Decision Flow: The master orchestration layer that directs the data path from initial API consumption to the final Match or No Match recommendation.
• Demographic Exclusion Tree: Automates the initial gatekeeping by branching logic based on Age and Gender to route the patient to the appropriate study categories.
• Study-Specific Adjudication Table: Enforces strict protocol compliance by comparing clinical variables such as diagnosis, prior treatments, and lab results against unique Trial IDs to provide a reason-coded result.

• Reduces Administrative Overhead: By automating the initial gatekeeping of eligibility, your clinical team can eliminate manual chart sifting and focus only on candidates who are demographically and clinically qualified.
• Minimizes Protocol Deviations: The engine enforces strict lab thresholds and treatment history rules at the data level, ensuring you only enroll patients who align perfectly with the scientific and safety requirements of the study.
• Accelerates Enrollment Speed: Real-time API integration allows for near-instant Match decisions. This improves site efficiency and ensures patients are directed to the most appropriate therapeutic options without delay.