As the use of generative AI increases, the belief within life sciences organizations that “more data is better” is giving way to different priorities, including the quality of the data, how relevant it is, and interoperability. As MarketScan’s Guenter Sauter, PhD, Sr. Director of Technology Product Management, emphasizes, the future of AI‑driven insights depends not on volume, but on the integrity and usefulness of the data itself.
Sauter discussed the rise of AI in a recent blog post, and how life sciences organizations need research-grade, interoperable real-world data (RWD) that can drive precision analytics, regulatory submission success, and optimal market access.
“Investing in interoperable data systems translates to speed,” Sauter wrote. “When HEOR, commercial, and clinical teams can access a single, trusted source of truth, decision-making accelerates. Whether it is responding to a payer’s objection or adjusting a clinical trial protocol, the ability to derive insights rapidly from integrated data is a key differentiator in a competitive landscape.”
Read the full blog here.