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Scaling Smart: Using AI Budget Tools to Determine Trial Costs

As the University of Alabama at Birmingham's Clinical Research Support Enterprise (CReSt) expanded, traditional systems proved insufficient for managing the growing complexity of clinical trial operations. Determining trial costs became a focus, with a goal of implementing no-cost, scalable solutions that improved visibility across the trial lifecycle, empowered staff, and could be replicated by other institutions. The CReSt unit adopted a suite of open-source tools to develop platforms for managing such core trial functions as study startup, enrollment tracking, subject reimbursements, and automated reporting. These tools were created entirely by clinical research administrators without the support of an information technology team or professional developers. Crucially, generative artificial intelligence (AI) tools were used to build, debug, and refine these systems. These tools accelerated development and lowered the technical barrier for non-programmers to build impactful solutions.

CEU: 1.00 ACRP

Speakers:

  • Meredith Fitz-Gerald, RN, MSN, Clinical Research Support Enterprise Director - Education and Clinical Outreach, The University of Alabama at Birmingham'

  • Patrick Frazier, RN, Clinical Research Support Enterprise Director of Systems and Compliance, The University of Alabama at Birmingham