PATIENT IDENTIFICATION & ENROLLMENT Acceleration
Accelerate Trial Enrollment Where Patients Receive Clinical Care
Paradigm Health enables scalable patient identification and enrollment acceleration across its provider network through deep integration with site EHR systems and clinical workflows. The platform evaluates structured and unstructured clinical data against protocol-defined eligibility criteria, enabling AI-supported trial matching that surfaces potential candidates for site review.
Embedded screening workflows and clinical recruitment support help research teams confirm eligibility, coordinate outreach, and progress patients efficiently toward enrollment. Sponsors gain structured visibility into patient pipelines, screening activity, and recruitment performance across participating sites.
the challenge
Missed and Late Identification of Trial-Eligible Patients Slows Enrollment
Clinical trial recruitment often struggles not because eligible patients do not exist, but because identifying and evaluating them within real-world clinical data is operationally difficult. Eligibility criteria are complex, relevant clinical details are often embedded within unstructured records, and traditional screening approaches rely heavily on manual chart review performed by already constrained site teams.
Even when potentially eligible patients are identified, determining when they should be approached for a study can be difficult. Without systems that continuously evaluate patient records and support structured, repeatable screening workflows, sites often miss opportunities to engage patients at the optimal point in their care journey when enrollment is most likely.
True Eligibility Can’t be Determined with Structured Data Alone
Trial eligibility often depends on nuanced clinical details that cannot be easily captured in discrete EHR fields. Without the ability to evaluate both structured and unstructured patient information, traditional matching approaches frequently generate inaccurate eligibility lists and overlook appropriate candidates.
Manual Screening Workflows Limit Recruitment Velocity
Even when potential candidates are identified, sites must manually review records, coordinate outreach, and manage screening activities across multiple systems. These processes slow patient evaluation and limit a site’s ability to act on recruitment opportunities as they arise.
the solution
Scale Accurate Identification, Navigate Patients Through Recruitment, and Act on Insights
Paradigm Health deploys an AI-enabled, EHR-integrated clinical trial matching platform across participating provider organizations to identify and evaluate trial-eligible patients directly within clinical workflows. The platform analyzes structured and unstructured clinical data — including relevant molecular and genomic testing results — against protocol-defined eligibility criteria, surfacing candidates with clear rationale and supporting clinical context.
Integrated screening workflows and dedicated Paradigm Health recruitment coordinators work in sync with site teams on a shared platform, where AI continuously monitors patient eligibility and prioritizes candidates, enabling teams to review, confirm eligibility, and actively progress patients through recruitment and enrollment.
Sponsors gain access to structured, actionable reporting across patient identification, screening progress, and enrollment pipelines, enabling earlier intervention and more informed decisions to actively improve recruitment performance and timelines.
capabilities driving trial recruitment
Power Continuous Patient Identification and Screening
Paradigm Health deploys an AI-enabled platform across participating provider organizations, continuously evaluating patient records against protocol-defined eligibility criteria. The EHR-integrated platform surfaces likely trial candidates within clinical workflows, enabling site teams to review patients, confirm eligibility, and initiate recruitment activities efficiently.
AI-Powered Patient Identification
Continuously evaluates structured and unstructured clinical data from EHR systems and other relevant sources, including molecular and genomic testing, against protocol-defined eligibility criteria to surface likely candidates across sites.
Eligibility-Driven Patient Navigation
Leverages AI-generated eligibility insights and supporting clinical context to enable Paradigm Health recruitment coordinators to continuously guide and progress patients through screening and enrollment.
Coordinated Recruitment Workflows
Provides site teams and Paradigm Health recruitment coordinators with shared workflows to manage recruitment activities, track patient status, and ensure consistent execution across identification, screening, and enrollment.
Patient Funnel Visibility Dashboard
Gives sponsors structured, actionable insight into patient identification, screening progress, and enrollment activity across participating sites.
Trial Awareness & Identification
Extend study visibility across the Paradigm Health network while Trial Eligibility Specialists review and triage potential candidates surfaced through the platform, ensuring sites receive qualified patient opportunities rather than raw lists.
Active Navigation & Follow-Up
Eligibility specialists maintain structured follow-up across pre-screening, consent, and screening stages, resurfacing patients as clinical data comes in or eligibility windows open.
RECRUITMENT DATA INFRASTRUCTURE
Power Continuous Patient Identification Across Participating Sites
Paradigm Health’s recruitment platform integrates directly with provider systems to access and evaluate clinical data required for trial eligibility and patient identification. These integrations enable continuous analysis of structured and unstructured clinical information across participating sites.
By connecting to EHR systems, molecular diagnostics providers, and clinical research systems, the platform supports real-time patient identification and recruitment workflows where patients are already receiving care.
Standards-based data pipelines and AI-powered clinical data processing ensure scalable deployment across provider organizations while maintaining data quality, traceability, and regulatory compliance.
EHR & Clinical System Integrations
Direct integrations with leading EHR platforms and research systems enable access to clinical data required for accurate patient identification.
Molecular & Diagnostic Data Connectivity
Integrations with molecular diagnostic vendors and clinical laboratories provide access to biomarker, genomic, and pathology data critical for precision oncology trials.
AI-Powered Clinical Data Processing
Advanced models evaluate both structured and unstructured clinical data to identify patients who meet complex protocol eligibility criteria.
Standards-Based Data Infrastructure
Data pipelines normalize clinical data using industry standards and support interoperability through FHIR, HL7, and data warehouse integrations, with enterprise-grade security and compliance for regulated clinical research environments.
sponsor outcomes
Deliver Faster Enrollment and More Predictable Timelines For Your Entire Portfolio
Paradigm Health model of technology and support enable sponsors to identify eligible patients earlier, support efficient site execution, and maintain visibility into patient progression across the enrollment pipeline.
Accelerated Trial Enrollment
Eligible patients are identified and progressed through screening more efficiently, enabling studies to enroll faster and reach enrollment milestones sooner across sites.
Increased Identification-to-Enrollment Conversion
Structured screening workflows and active patient navigation increase the proportion of identified patients who ultimately enroll in the trial.
Reduced Delays and Forced Expansion Risk
Maximizing yield within activated sites reduces the need to add additional sites late in the enrollment cycle as patient progression improves.
Greater Visibility Into the Enrollment Pipeline
Sponsors gain structured insight into patient identification, screening progress, and enrollment activity across participating sites.
More Actionable Recruitment Insights
Collaboration with Paradigm Health and sites surfaces screening bottlenecks, eligibility barriers, and operational challenges earlier in the enrollment cycle.
Improved Predictability of Recruitment Performance
Defined funnel stages and real-time progression tracking improve sponsors’ ability to anticipate enrollment performance and intervene earlier when progress slowed.
proof points
Demonstrated Enrollment Impact Across Sponsored Trials and Research Sites
Trials supported by Paradigm Health demonstrate measurable improvements in screening efficiency, patient participation, and enrollment progression across participating sites.
2x Enrollment Rate vs Plan
A sponsor achieved double the planned enrollment rate across participating sites using Paradigm Health’s patient identification and navigation model.
43% Median Enrollment Lift Across 6 Trials
Across a sponsor's portfolio of six concurrent Phase 1–3 studies, Paradigm Health-supported sites consistently outperformed non-supported sites.
175% Increase in Trial Participation
Trial participation increased from 4% to 11% after deploying Paradigm Health’s platform and screening support across a community oncology network.
Up to 87% Reduction in Screening Volumes
AI-native patient matching reduced screening volumes by 31–87% across three oncology trials, improving the efficiency of identification and accelerating enrollment.
View the ASCO Quality Abstract
ACCELERATE PATIENT IDENTIFICATION AND ENROLLMENT
Are Your Studies Identifying the Right Patients at the Right Time?
Paradigm Health helps sponsors surface likely trial candidates across participating sites through an EHR-integrated recruitment platform and operationalize screening activities that move patients toward enrollment.
Connect with Paradigm Health to improve patient identification accuracy, expand site screening capacity, and gain visibility into patient progression across your enrollment pipeline.
Let’s accelerate enrollment across participating sites.