How myLaminin's AI Clinical Trial Configuration Agent Is Giving Researchers Back Their Most Valuable Resource: Time
Every clinical trial begins with the same quiet bottleneck. Before a single participant is enrolled, before any data is collected, research teams spend days — sometimes weeks — translating an IRB/REB-approved clinical trial protocol into the structured configuration a trial management system actually needs: defining study steps and visit schedules, mapping follow-up rules, and building out every electronic data capture (EDC) form the trial will use from scratch. At best, they may be able to reuse forms from past studies, but must spend significant time to update them.
It's meticulous, essential work. It's also work that pulls principal investigators and research coordinators away from the reason they got into clinical research in the first place — the science, and the people participating in it.
A New Way to Start a Trial
myLaminin’s AI Clinical Trial Protocol Configuration Agent changes where that time goes. myLaminin is a clinical trial and research data management platform. It connects trial data, documents and workflows in one secure regulatory-compliant environment.
Researchers upload their protocol document in PDF, Word or a structured format. The agent does what used to take a team days of manual data entry. It reads the protocol, extracts variables and study structure, aligns them with standardized NIH Common Data Elements, and generates a complete set of structured survey forms and a full trial definition. All of this is ready for researcher review.
What used to mean retyping visit schedules into spreadsheets, hand-building each electronic data capture (EDC) form field by field, and manually cross-referencing eligibility criteria against every downstream form now happens automatically. This new process takes minutes instead of days.
What Does myLaminin's AI Clinical Trial Configuration Agent Do?
myLaminins Clinical Trial Protocol Configuration Agent turns a protocol into structured trial configuration that includes study steps, visit schedules, clinical variables and electronic data capture (EDC) forms. It uses AI to speed up trial setup while keeping researchers in control through review and full traceability.
Built for Trust, Not Just Speed
Speed alone isn't the point — accuracy is what makes it usable in a field where a mistake in a data capture form can mean an unusable trial arm. The agent's structured extraction pipeline has been validated to be more than 90% accurate in correctly mapping protocol content to the right fields, forms, and data elements on the first pass. (See Figure 1 - myLaminin Trial Protocol Agent Accuracy Report).
Just as important is what happens after that first pass. Every configuration goes through a human-in-the-loop review, where researchers can ask for changes in plain language; "make site status required", "remove this question", "rename this field" — and see those changes applied instantly, with full traceability back to the original request.
The agent proposes; the research team decides. That combination — high first-pass accuracy paired with fast, transparent human review — is what turns AI-generated trial configuration into a workflow that researchers can confidently review and refine.
Where the Time Actually Goes
The real story here isn't the software, it's what researchers get to do instead of configuring it. Hours that used to disappear into manual protocol translation and EDC setup can go toward what actually moves research forward: refining study design, engaging with participants, and analyzing the data that trial exists to produce.
For a field where every trial represents real people hoping for real answers, that's not a small thing. It's time given back to the work that matters most.
myLaminin’s AI Clinical Trial Protocol Configuration Agent is available now as part of its unified
Clinical Trial and Research Data Management platform. To see it in action on your next protocol, contact myLaminin for a demo.
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Abishek Humagain (article author) is one of myLaminin's Lead Software Engineers.
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