Accelerating clinical study startup with intelligent document workflows

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Clinical study startup teams are held hostage by manual document workflows, slowing down progress on their missions. They’re reviewing hundreds of CVs, protocols, financial disclosures, and forms while facing mounting pressure to activate sites faster. Every week spent on repetitive data entry and validation is another week delaying patient enrollment and revenue realization.

Join Box life sciences experts as we demonstrate how Box Extract uses advanced OCR and agentic reasoning to automate the most time-consuming document workflows. You'll see real examples of biopharma teams reducing site qualification cycles from 4-6 weeks to 3-5 days while freeing clinical ops staff from repetitive work.

Topics we'll cover:

Automate data extraction: Use AI-powered OCR to pull data from CVs, protocols, and site questionnaires
Maintain compliance: Reduce manual review time with built-in validation and confidence scoring
Scale operations: Process hundreds of documents simultaneously to qualify sites faster without increasing headcount

Speakers

Manu Vohra

Managing Director, Life Science, Box
Scott Picanco

Senior Product Marketing Manager,
Box
Raja Mikkili

VP, Core Technologies and Security, Arcutis Biotherapeutics, Inc.
Allison Stilley

Sr. Solutions Engineer, Box