Clinical Trial Enrollment

Find eligible trial patients in hours, not months

Enrollvue reads clinical notes against your protocol criteria to surface eligible patients fast, attacking the manual chart review that keeps trials behind on enrollment.

Enrollvue Matching Interface

Protocol Criteria

I Age 18-75, ECOG 0-1
I HER2+ confirmed pathology
E Prior anti-HER2 therapy within 6 mo
E Creatinine > 1.5x ULN
I Measurable disease per RECIST 1.1

Matched Patients

PT-0041 4/4 met
PT-0087 4/4 met
PT-0123 review
PT-0156 3/4 met
PT-0201 excluded

80%

of clinical trials miss their enrollment timelines

30+

eligibility criteria in a typical oncology protocol, checked manually per patient

3-4 mo

average pre-screening time per site, before Enrollvue

From protocol upload to a ranked patient list

Enrollvue ingests a protocol PDF or pasted criteria, extracts every inclusion and exclusion rule, then reads your site's EHR notes against each one. No manual review of individual charts. No missed criteria buried on page 47 of the protocol. Coordinators receive a ranked list, not a pile of records.

  1. Upload protocol PDF or paste criteria directly
  2. Connect to your site's EHR feed or upload de-identified chart exports
  3. Enrollvue parses free-text notes against each criterion, flags inclusions and exclusions
  4. Download a ranked eligibility list with evidence snippets for coordinator review
Patient Data Controls

Designed with patient data controls

Enrollvue's architecture keeps identifiable patient records at the site. Matching runs on de-identified or tokenized extracts. Data handling is designed to align with HIPAA controls.

We are not a diagnostic device and do not make enrollment decisions. All final eligibility determinations are made by your study team.

Learn about the architecture

From teams running active trials

"We were spending 15 hours a week on chart review per site. Enrollvue cut that in half and the matched lists are actually right, not just keyword hits."

Clinical Research Coordinator, Phase 2 oncology trial

"Our CRA managers could finally see which sites were pre-screening efficiently and which were stuck. That visibility alone changed how we allocated support."

Director of Clinical Operations, mid-size CRO