From Bedside to Budget: How AI Is Fixing Clinical Trial Coverage (with Dr. Tia Warrick)
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From Bedside to Budget: How AI Is Fixing Clinical Trial Coverage (with Dr. Tia Warrick)
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Dr. Tia Warrick started as a clinical research coordinator before founding Asus Consulting, a software platform that helps sponsors and providers get clinical trial coverage analysis right from the start instead of fixing billing problems after the fact.
In this episode, Tia breaks down what a coverage analyst actually does, why Medicare and Medicaid coverage rules are so hard to interpret, and how her software pulls CPT codes, NCD/LCD data, and peer-reviewed literature to build a defensible budget in minutes instead of months. She also talks about the guardrails she built into her AI to prevent hallucinations in a space where financial and compliance stakes are high, and why she believes automation should support coverage analysts rather than replace them.
Topics covered:
- Why clinical trial budgets can take up to 8 months to finalize
- What a coverage analyst does and why the process is so manual
- How AI and automation can speed up coverage determinations without sacrificing accuracy
- The guardrails needed to keep healthcare AI from hallucinating
- Why payers and providers are more connected than they realize, and what that means for closing claims faster