If you are attending the AMCP and join the AI Pre-Conference program, you’ll see how one of our leaders is shaping the discussion on use of AI in managed care. Check out “Panel 2: AI for the Backstage Work That Determines the Frontstage Outcome” which will be moderated by OPEN Health’s Bashni Reddy, Senior Advisor, Strategic Market Access.
Where AI is meeting the needs of decision-makers for market access?
AI is everywhere, but adoption across market access is uneven. Regulatory demands, risk sensitivity, and complexity all play a role.
To better understand this, OPEN Health experts assessed AI readiness across HEOR activities, from early development through commercialization.
Key takeaway:
AI performs best in structured, repeatable tasks such as evidence synthesis and elements of economic modeling (for example, data structuring and scenario testing) but is less suited to judgment-driven activities such as interpretation of adverse events.
Why it matters:
Understanding where AI adds value helps organizations prioritize investment, improve efficiency, and align with evolving industry expectations.
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Turning AI insight into real-world impact
Whether you’re exploring AI adoption or scaling real-world evidence strategies, OPEN Health can help you navigate what’s next.
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Key takeaway:
AI performs best in structured, repeatable tasks such as evidence synthesis and elements of economic modeling (for example, data structuring and scenario testing) but is less suited to judgment-driven activities such as interpretation of adverse events.
Why it matters:
Understanding where AI adds value helps organizations prioritize investment, improve efficiency, and align with evolving industry expectations.
Unlock the full article
Build the future of HEOR workflows
Explore a new micro course developed by OPEN Health experts and delivered through the ISPOR platform. Reimagining HEOR Workflows: Combining Human Expertise, Traditional Automation, and Generative AI Designed for HEOR professionals looking to stay ahead in an AI-enabled landscape. Register for the micro courseAI is transforming real-world evidence
As demand for evidence grows, so does the complexity of generating this evidence.
OPEN Health experts explore how AI and tokenized data are helping overcome these challenges enabling faster analysis and richer patient-level insights. What you’ll learn:- How AI is accelerating statistical analysis
- How tokenization is expanding real-world datasets
- A real-world case study in metastatic lung cancer
- The future skills HEOR professionals need
