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Evidence generation, only faster: How AI and tokenized data are accelerating RWE without compromising on scientific rigor
Written on Friday, January 30, 2026
In today’s world, with increasing pressure for evidence-based treatments, the demand for real-world evidence has never been greater. At the same time, treatment pathways have become more complex, making evidence generation more challenging and resource intensive.
Join Dr. Viktor Chirikov, Senior Director and US lead for Real-World Evidence and Analytics at OPEN Health, and Dr. Patti Peeples of The Peeples Collaborative as they discuss how AI and tokenized data are being used to meet these challenges.
This interview, conducted in partnership with ISPOR, offers the following actionable insights:
- How RWE has evolved over the past decade, including how AI has empowered faster statistical analysis, and how tokenization is transforming the datasets available to build a complete picture of the patient journey.
- A case study in metastatic lung cancer that shows how this works in practice.
- The challenges that remain and what can be done to address them, both within the treatment journey and beyond healthcare.
- Key skills that HEOR professionals will need in the future.
- How OPEN Health is helping clients navigate this rapidly-changing landscape, to achieve success for their therapies.
Practical examples in our whitepaper
Check out our recent whitepaper where OPEN Health’s RWE experts explain what tokenized real-world data (RWD) is and show via two case studies (one US, one UK) how it can be the key to a robust integrated evidence generation plan that satisfies HTA requirements.
About OPEN Health
At OPEN Health, we connect visionary minds, pioneering science, and advanced technology to drive real impact. By uniting people, science, and technology, we activate new opportunities for biopharma innovation. Our expertise across medical affairs and market access unlocks faster, smarter routes to market. We are committed to improving patient outcomes worldwide.
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