EMR-native Automatic patient identification

Find every eligible patient. Automatically.

EnrollNavigator reads your medical records, matches patients against the full inclusion and exclusion criteria of enrolling trials, and hands coordinators a ready-to-work pipeline - so your site enrolls more patients, faster.

Book a 30-min demo → Why enrollment fails

80%

of trials miss their enrollment timelines

1 in 5

trials end early from under-enrollment

85%

of cancer patients unaware trials are an option

app.cohorta.health/pipeline

My Patient Pipeline

Prescreen

Info

PI Review

Approach

Consent

Patient #1

NCT*******7 · Oncology

Likely match

Patient #2

NCT*******8 · Cardiology

PI review

Patient #3

NCT*******9 · Neurology

Approaching

87%match accuracy on I/E criteria

The Problem

Clinical research coordinators aren't managing a single study - they're balancing dozens simultaneously.

Identifying eligible patients often requires manually reviewing ClinicalTrials.gov, running repetitive EMR searches, and tracking 30+ inclusion and exclusion criteria across multiple active protocols. The result is fragmented workflows, missed candidates, delayed enrollment, and lost revenue opportunities for sites.

As study volume increases, coordinators are forced to constantly switch between protocols, spreadsheets, registries, and patient charts. That operational complexity is where recruitment begins to break down.

80%

of clinical trials fail to enroll on schedule

1 in 5

trials terminate early due to under-enrollment

85%

of cancer patients never learn a trial was an option

$8M

lost per day of delay in sponsor revenue

How It Works

Powering faster trial enrollment, in three steps

EnrollNavigator turns a manual, error-prone hunt into one continuous, automated workflow.

Identify

EnrollNavigator continuously screens your medical records against the full inclusion and exclusion criteria of enrolling trials. Each patient gets a match score, and you see exactly which criteria passed and which still need review.

Navigate

Matched candidates flow into a single pipeline: prescreen, PI review, approaching, awaiting consent. Coordinators always know what to do next, so sites move faster to milestones and drive site revenue.

Enroll

Log every call, voicemail, consent, and chart review against each candidate. Patients who decline are flagged once, so the team stops spending time on people who don't want to participate.

Why Research Sites Choose EnrollNavigator

Built for the way coordinators actually work

EMR-native

Connects directly to your existing medical record provider. No rip-and-replace.

Eligibility matching

Auto-screens patients against the full I/E criteria of every enrolling trial.

Pipeline & task list

Every candidate in one ongoing workflow, always sorted by what to do next.

Outreach tracking

Calls, consent & status logged in one place, with a full audit trail.

The Payoff

Recruitment is where sites win or lose trial revenue

More eligible patients found earlier means more enrollments per study. Less time chasing patients who won't participate means lower cost per enrollment, and healthier margins.

>$100k

Oncology trial cost per enrolled patient

~$20k

Average cost when a patient drops out from non-compliance

$500k-$8M

Lost in sponsor revenue for every single day of delay, the gap EnrollNavigator is built to close.

See EnrollNavigator run on your own data

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