Clinical research

Dropout doesn't kill studies in the lab. It kills them between visits.

Dropout doesn't kill studies in the lab. It kills them between visits.

Edwin turns your study protocols into personalized participant missions, delivered through each person's preferred channel, with every completion verified so your adherence data is something you can actually trust.

Trusted by
Mass General Brigham
Harvard T.H. Chan School of Public Health
Novo Nordisk
Ro
Ideal
Mass General Brigham
Harvard T.H. Chan School of Public Health
Novo Nordisk
Ro
Ideal

Self-reported adherence isn't data. It's a guess.

Clinical research is built on the assumption that participants follow protocols between visits. But you have almost no visibility into what actually happens. Participants self-report. Some over-report to please investigators. Some forget entirely. The gap between what participants say they did and what they actually did is one of the least-discussed threats to data integrity in research. It gets worse as trials get longer and protocols get more complex.

35%

35%

average dropout rate across Phase II and III clinical trials

What changes when participants have a mission, not just a protocol

Protocol becomes a participant mission
Your study procedures break into step-by-step missions, personalized to each participant's schedule, language, and channel. No app to download. No portal to navigate. Participation just shows up where they already are.
Verified adherence, not self-report
Every completed task is confirmed and timestamped, not assumed. Edwin gives you a reliable adherence record built from actual participant behavior. The kind of data your IRB, sponsors, and publications can stand behind.
Completion flows back to the record
Verified task data goes back to your data platform in the format your team already uses. No manual export. No reconciliation. The data is just there when you need it.
How it works

From your protocol to verified participant completion

Three steps. Nothing changes about how you design or run your studies. Edwin runs between your protocol and your participants.

01
You submit the protocol
Edwin maps your study procedures into participant missions, each one adapted to the person's language, channel, and visit schedule. Study coordinators review and approve before anything goes out.
02
Participants receive their missions
Tasks arrive through text, voice, or app, whichever channel each participant actually uses. Reminders adapt automatically to their schedule. No new platform. No login. Just clear instructions at the right moment.
03
Coordinators see who's at risk before they drop out
Verified completion data flows back to your systems in real time. You see who's on track, who's falling behind, and where to intervene before someone disappears from the study.
The retention layer

The data you need without the dropout rate you've accepted.

AI scribes stop at the chart edge. They capture everything, structure everything, and eliminate documentation burden. But they don't have a way to move the patient. The care plan exists perfectly in the record. The patient goes home and gets a printout.

Edwin is the layer that connects what your documentation tool produces to what patients actually do. Every structured plan becomes a personalized mission delivered through the channel each patient uses. The documentation doesn't sit in the chart. It becomes an active workflow the patient can actually follow.

The result is a closed loop your scribe can't close on its own. Verified patient actions. Completion data back in your system. And real evidence of what happened between visits. Not just what was ordered.

AI Documentation

Close the loop your AI scribe leaves open.

Close the loop your AI scribe leaves open.

Edwin connects to your structured documentation and turns it into verified patient action. Book a demo to see the integration.

What comes after the note

What comes after the note

AI documentation is changing healthcare.