Clinical Enrollment Intelligence

Find eligible patients three months sooner

Patientrig maps clinical trial protocols against real-world EHR data — ranking candidates site coordinators would otherwise surface too late to screen.

Designed for
HIPAA Alignment HL7 FHIR R4 21 CFR Part 11 Aware
11 wks
Average lag from protocol activation to first screened patient
Industry benchmark, clinical operations research
~34%
Eligible patients missed when coordinators rely on manual EHR searches
Site coordinator workflow studies
30–40%
Screen failure rates at sites lacking structured pre-screening
CTMS data analysis across Phase II–III trials

How It Works

From protocol to ranked candidates in hours

Patientrig ingests your protocol, maps criteria to EHR fields, and returns a ranked shortlist — before your coordinators have opened a single chart. It does not manage trial conduct (that is your CTMS), does not advertise to patients (that is a different category of tool), and does not replace your EHR. It is the matching layer between protocol criteria and patient records that currently requires weeks of manual chart review.

01

Ingest Protocol

Upload your protocol PDF or connect via Veeva Vault CTMS. Patientrig parses inclusion and exclusion criteria using structured NLP trained on trial language.

02

Map to EHR

Criteria are translated to structured queries against your EHR — Epic, Cerner, athenahealth — through HL7 FHIR R4 APIs. No manual chart pulls needed.

03

Rank Candidates

Each patient receives a match score reflecting how completely their record satisfies the protocol. Coordinators see ranked shortlists with criterion-level explanations.

04

Accelerate Screening

Pre-screen packets and outreach workflows surface directly in your CTMS, cutting weeks from the lag between protocol activation and first consented patient.

Criteria Intelligence

Protocol language, decoded automatically

Inclusion and exclusion criteria are written for regulatory reviewers, not databases. Patientrig's parser handles temporal logic, lab value ranges, comorbidity trees, and prior-treatment lookback windows — then maps each criterion to the appropriate EHR field.

  • Handles complex nested criteria: HbA1c > 7.5% AND no insulin use within prior 12 months
  • Flags ambiguous criteria for coordinator review — no silent guesses
  • Criterion-level match explanations at every patient card
  • Protocol versioning — re-score your list when amendments arrive
Explore the Platform
PROTOCOL CRITERIA PARSER — NCT2024-0417 14 criteria mapped
Age 40–75 T2DM dx HbA1c 7.5–11% eGFR ≥ 45 BMI 25–42
Insulin < 12mo Renal stage 4+ Active CV event
"Recent MI" — lookback window ambiguous
Eligible from active panel 47 / 1,204

What site teams say

We were spending three weeks manually screening charts before we'd even identified our first viable candidate. Patientrig changed that first week — we had a ranked shortlist before our site activation meeting ended.

K. Mercer
Clinical Research Coordinator, community oncology site

The criterion-level explanations are what won over our IRB coordinator. She could see exactly why a patient was scored high — not just a black-box number. That transparency is the difference between adoption and pushback.

T. Reyes
Director of Research Operations, academic medical center

Integrations

Connects to your existing systems

Patientrig reads from the EHRs and CTMS platforms your site already uses — no rip-and-replace required.

Epic
Oracle Cerner
athenahealth
Veeva Vault CTMS
Medidata Rave
REDCap
HL7 FHIR R4

Ready to enroll faster?

Reduce your screen failure rate — starting with your next protocol.

See how Patientrig maps your inclusion/exclusion criteria to your patient panel in a 30-minute live demo.