This collaboration marks a significant milestone in enhancing efficiency and innovation in the field, while also reinforcing our commitment to advancing evidence synthesis for informed decision-making in healthcare.
Mark Fisher, FIECON COO, expressed his enthusiasm for the collaboration, "The integration of Nested Knowledge's AI platform into our research processes marks a significant milestone in our mission to optimize healthcare outcomes. This partnership leverages the power of technology to refine the way we conduct evidence synthesis, ensuring that healthcare decisions are informed by the most accurate evidence and ultimately treatments reach patients quicker.”
“FIECON’s experience in delivering high-quality systematic reviews, as well as in health economics and outcomes research generally, makes them the ideal partner for scaling up AI-assisted, updatable repositories of evidence needed for key decisions,” said Kevin Kallmes, CEO of Nested Knowledge. “Their expertise in both subject matter and research processes will be necessary to address the accelerating needs for rapid evidence synthesis across the pharma lifecycle.”
The collaboration brings together FIECON's expertise in health economics and Nested Knowledge's innovative AI-driven solutions. The use of AI in this context not only accelerates the research process but also enhances the quality and reliability of the findings, facilitating a more dynamic response to the rapidly evolving body of medical literature.
Key benefits of this strategic alliance include:
To start a commercialization conversation, contact Karl Freemyer at karl.freemyer@fiecon.com
Reach out to Keith Kallmes at keith.kallmes@nested-knowledge.com or find out more about Nested Knowledge at https://nested-knowledge.com.
About Nested Knowledge:
Nested Knowledge operates as a dynamic evidence platform, designed to store, automatically extract, and analyse published clinical literature essential for systematic literature reviews. This innovative process culminates in the creation of evidence through interactive, web-based visualizations. Highlighting features such as the capacity for updates, traceability, and engaging visual interfaces, the platform transforms the comprehension of evidence, moving away from the traditional reliance on fragmented, static, and often incomplete Excel- and PDF-based reviews.
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