Webinar

Building HTA‑ready evidence with AI‑enabled early modeling

AI Summer Series Webinar 

Early-phase evidence development is increasingly expected to withstand HTA scrutiny—often before full data maturity. When applied responsibly, AI-enabled early modeling can help teams explore uncertainty sooner, identify evidence gaps, and strengthen the transparency and coherence of evidence narratives used to inform access decisions. Watch the recording to see how AI-enabled early models can support HTA-ready evidence generation by informing scenarios, trade-offs, and uncertainty with rigor and expert oversight.

Key highlights

  • Exploring uncertainty earlier: How AI‑enabled early models can help teams test assumptions, evaluate scenarios, and identify data gaps earlier in development.
  • Strengthening HTA‑ready evidence: Where AI can support clearer, more structured evidence narratives to inform payer and HTA decision‑making.
  • Transparency and interpretability: How AI‑supported modeling approaches can improve understanding of drivers, assumptions, and uncertainty—key considerations for HTA review.
  • Responsible use in practice: How teams are combining AI tools with established modeling frameworks, governance, and expert judgment to support credible, defensible access strategies.

Moderator:
Chris Englerth, Director of Global Consulting Services, Cencora

Speaker:
Erika Wissinger, Senior Director, Evidence Generation & Value Communications, Cencora
Paul Turner, Director, Evidence Generation & Value Communication, Cencora

Access the recording

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