Study coordinators building eSource from scratch typically spend hours parsing a 200-page protocol before they make a single judgment call that actually requires clinical experience. CRIO’s new AI eSource Builder targets exactly that gap: upload a protocol and blank or annotated eCRFs, and the tool generates a complete eSource draft, including visit schedule, procedure templates, eligibility criteria formatted as grid-style procedures, and visit logic applied against your organization’s build rules. Early pilot sites have cut eSource build time by four hours per study, and that figure is still improving as the tool matures.
The time savings are real, but the design choice worth noting is where the automation stops. The AI eSource Builder does not deliver a finished build. Procedures that can’t be matched to an existing template are flagged as placeholders, and every draft goes through a structured tab-by-tab review before it reaches CRIO. A side-by-side Document Companion panel connects each review tab directly to the relevant protocol section: the Visits tab opens the Schedule of Assessments, the ICF tab opens the consent instructions, the Eligibility tab opens inclusion and exclusion criteria. Coordinators stop toggling between documents and start confirming what the AI drafted.
The standardization angle may matter as much as speed for larger site networks. AI eSource Builder enforces build rules consistently across every study, drawing on CRIO’s curated rule set developed across its community while letting organizations layer their own procedure templates on top. For networks where different staff configure the same procedure differently, that consistency closes a real source of downstream query burden. CRIO’s platform already reaches over 2,500 global research sites, roughly one in four U.S. sites active in chronic condition trials, so a standardization tool built into that install base has reach beyond what most point solutions can claim. Competitors including Medidata have moved into AI-assisted EDC generation, meaning the pressure to automate protocol-to-build workflows is coming from multiple directions.
Access requires a Publisher site within CRIO, which handles version tracking and the structured review workflow that delivers the AI-generated template as a locked draft for study designer review. CRIO says enabling Publisher carries no additional cost for existing users. The practical test will be whether the four-hours-per-study figure holds across protocol complexity: a simple Phase 1 and a sprawling oncology basket trial do not produce the same eSource build problem, and the tool’s real value will show at the harder end of that range.
Source link: https://clinicalresearch.io/blog/introducing-ai-esource-builder/
Moe Alsumidaie, MBA, MSF, is founder and Chief Editor of Vanguard Publications, which publishes Clinical Trial Vanguard, Pharma Vanguard and BullScope, and Head of Research at CliniBiz. He has two decades in clinical trial operations and data science, with earlier roles at Genentech, Abbott Vascular and Stanford University Medical Center, and is a guest lecturer in clinical trial sciences at Rutgers University.
