Cohortbridge automates eligibility screening for Phase II-III oncology and rare disease trials. Mid-size CROs connect their EHR data once and get ranked candidate lists delivered directly into Medidata Rave or Veeva Vault — reducing coordinator pre-screening time from 45 minutes to roughly 8 minutes per candidate.
Converts complex protocol inclusion and exclusion criteria into structured FHIR-queryable logic within 5 business days
Clinical trial eligibility criteria are written in protocol language that does not map directly to EHR data fields without expert translation. Cohortbridge’s onboarding team structures each criterion as a combination of FHIR query parameters, diagnosis code sets, lab value thresholds, medication class definitions, and temporal relationship rules during a five-day protocol intake process. Rule sets are versioned, so protocol amendments can be incorporated mid-enrollment without restarting the screening model from scratch.
Hard exclusion filtering eliminates 80-90% of ineligible patients before any coordinator time is spent
The first screening pass applies deterministic rule-based filters against structured EHR data — ICD-10 diagnosis codes, LOINC lab values, RxNorm medication records, and CPT procedure history — to immediately eliminate patients who fail hard exclusion criteria. This pass runs in under two seconds per patient record and typically eliminates 80–90% of the screened population, leaving a much smaller set for the second-pass NLP review.
Surfaces potentially eligible patients whose qualifying conditions are documented in narrative clinical notes, not structured fields
Rare disease and oncology trials often require eligibility evidence that lives in clinical notes — pathology report language, physician assessment of disease severity, prior treatment response descriptions — rather than in ICD codes or lab values alone. Cohortbridge’s NLP model processes discharge summaries, progress notes, and pathology reports using a transformer-based extraction pipeline fine-tuned on oncology and rare disease clinical text.
Ranked candidate list with eligibility breakdowns and consent-ready patient summaries in the coordinator's existing CTMS
Cohortbridge delivers its output as a ranked candidate list integrated into the site’s existing trial management system — Medidata Rave or Veeva Vault CTMS — so coordinators never leave their primary workflow. Each candidate card shows the overall eligibility score, a criterion-by-criterion pass/fail breakdown with supporting data, and a consent-ready clinical summary that the coordinator can use when approaching the patient.
Tracks screen failure patterns across sites to identify protocol criteria causing disproportionate enrollment friction
Mid-size CROs managing multi-site trials need visibility into which eligibility criteria are driving screen failures at which sites. Cohortbridge’s analytics dashboard aggregates screen failure data across all participating sites, showing the proportion of failures attributed to each criterion, the site-level variation in failure rate, and the estimated enrollment delay caused by each high-friction criterion.
Connects to Epic, Cerner, and MEDITECH via FHIR R4 with HIPAA Business Associate Agreement coverage and no PHI retention after screening
Cohortbridge connects to site EHRs via FHIR R4 APIs under a HIPAA Business Associate Agreement executed with each participating site or health system. PHI is used to compute eligibility scores but is not stored after the screening session completes. All data in transit is encrypted via TLS 1.3; at-rest storage uses AES-256 in an AWS GovCloud environment.
Cohortbridge fits into your existing workflow without adding new systems. Here’s how a typical trial onboards and reaches first candidate output.
Your trial team shares the protocol and eligibility criteria. Cohortbridge’s onboarding team structures each inclusion and exclusion criterion into FHIR-queryable logic within five business days, then reviews the rule set with your medical monitor before any screening begins.
We connect to your clinical sites via HL7 FHIR R4, Epic MyChart Bedrock API, Cerner Millennium FHIR, or MEDITECH Expanse FHIR under a site-level HIPAA Business Associate Agreement. No PHI leaves the site’s environment; queries run against the EHR and results are returned to Cohortbridge for scoring.
The deterministic first pass runs structured EHR fields against hard exclusion criteria, eliminating 80–90% of ineligible patients before any coordinator time is spent. The second pass applies NLP to clinical notes for criteria that require narrative evidence, scoring each remaining candidate on likelihood of meeting each inclusion criterion.
A ranked candidate list is pushed directly into your Medidata Rave or Veeva Vault CTMS workflow. Each record shows eligibility score, criterion-by-criterion breakdown, data sources, and a consent-ready clinical summary — reducing coordinator pre-screening time from 45 minutes to approximately 8 minutes per candidate.
Practical writing on AI patient matching, FHIR integration, screen failure reduction, and trial operations from the Cohortbridge team.
A practical look at how mid-size CROs are using AI-powered eligibility screening to cut enrollment timelines and reduce screen failure costs across Phase II-III trials.
A step-by-step technical overview of connecting FHIR R4 EHR APIs to clinical trial management systems, covering authentication patterns, data mapping, and common integration pitfalls.
Screen failure rates above 70% are common in Phase II-III oncology and rare disease trials. This playbook covers root cause analysis and protocol-level interventions that actually move the number.
Tell us about your current screening process. We’ll walk you through what the two-pass model looks like for your trial’s specific criteria and EHR environment.