One path from data
to patient.

Scroll to follow the data

One path from data
to patient.

01 — Collect

Data starts where care happens

Three streams of consented data. In university clinics, the query runs on their own patient databases, and the records stay there. Outpatient practices add theirs, alongside pre-qualifications from the chatbot. Patients at home arrive through social campaigns and share their records themselves.

02 — Match

Down to the last exclusion criterion

The three streams merge, and every profile is matched against the eligibility criteria of active trials: the ones listed in CTIS, ClinicalTrials.gov, and DRKS, plus the ones investigators enter with us directly.

03 — Equip

Care teams get their time back

Doctors and study nurses work inside the platform: matches arrive with the patient information already attached, visits are booked without a phone call, and what patients report flows straight back in.

04 — Enroll

The last step is a conversation

The path ends in the study center: the doctor talks the trial through with the patient, rechecks every eligibility criterion, and when everything holds, the patient enrolls.

You’re viewing the static version of this journey. The full experience uses WebGL and motion.

One path, from data to patient.

Walk the same path with your own study: consented data in, one clear match out, first-patient-in at the end.

nils.zaenker@ivelion.com