Orchestrators / Life Sciences / AI Trial Retention

Life Sciences

AI Trial Retention

AI Trial Retention

Keeps enrolled trial participants engaged through logistics support and dropout prevention.

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Section 01

Use Cases

  • AI Trial Logistics
  • AI Dropout Prevention
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Section 02

Features

An AI companion for every participant: visit reminders with transportation booked in-call; ePRO and diary collection in natural conversation; symptom and side-effect check-ins with site escalation; dropout-risk detection with early intervention; caregiver communication; site and participant info hotlines; multi-call memory across the whole study.

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Section 03

ROI

Statistical power: Every retained participant protects the study – replacing a randomized patient costs several times recruiting one, and attrition past plan threatens the readout itself. Logistics is the most fixable dropout driver, and it is handled in the same call that detects it.

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Section 04

Additional Info

Participants almost never quit the science. They quit the fourth unreimbursed parking fee, the diary app that logs them out, the site that’s a two-hour drive with no one to drive. Each is trivial to fix – if anyone knows in time. This product stays in touch with every participant at a cadence no site staff could sustain, collects outcomes as conversation rather than homework, and hears the early signals of drift: a missed dose mentioned in passing, a ride that fell through, a side effect being quietly endured. Then it fixes what it can on the call and flags the site when it can’t. Retention becomes something the study does continuously.