The methods for examining evidence toward reimbursement decisions continue to evolve in the modern healthcare value chain. Organized customers are a new development –bringing large, sophisticated, data-driven collaborations to bear– seeking to use data to scrutinize both efficacy and cost-effectiveness. So, key account managers (KAMs), now more than ever, need to have a plan that showcases the impact along with the cost-effectiveness of the therapies or drugs they are representing.
This change in the pharma customer trend makes it more imperative than ever for KAMs. Amplifying value has become more urgent than ever, as these customers and their integrated delivery networks continue to move toward value-based decision-making. Therefore, there is a clear need to have tools that provide cutting-edge, next-generation data analysis and that present a clear case for the benefit of key therapies.
That’s where Nested Knowledge comes into play. Nested Knowledge’s AI and data analytics tools can help provide concrete evidence for the effectiveness of a given therapy when communicating with organized customers. This helps Key Account Managers by enabling them to put the best evidence forward, in the most consumable format, and thus have transparent, comprehensive, and easy-to-consume data on the efficacy of their drug. This is vital not only for making informed reimbursement decisions but for communicating value across stakeholders.
Here’s how it works: A KAM builds a nest (an interactive, updatable synthesis of relevant evidence) highlighting endpoints of interest and comparison against related therapies, thus presenting value transparently to customers. Features of interest include Search Exploration, an AI-assisted search-building tool, as well as Robot Screener, an AI that gives every study a relevancy score to narrow in on the most appropriate and influential evidence. Then, with flexible ontologies that can be customized to your research questions of interest, you can build out an interactive, updatable Synthesis of evidence.
The combination of qualitative and quantitative Synthesis in Nested Knowledge not only helps ensure best practices in evidence synthesis, but they are also great visuals for presenting insights and conclusions to key stakeholders, like the increasingly important organized customer. In summary, Nested Knowledge is the central data management solution for KAMs that can provide an all-in-one source for evidence-based information. The platform helps gather all evidence and proof of efficacy and then adds value to KAMs when presenting this evidence to customers, especially organized customers.
Organized customers are an important development for pharma companies and the KAMs that work within them. Organized customers are seeking to understand which therapies are the most effective and cost-effective for each indication, and they, therefore, are more focused than ever on value-driven decision-making. It’s the KAM’s job to show the organized customers the data-driven insights that will support reimbursement and use of their therapy of interest. It is therefore crucial to have the tools to engage organized customers and present the value that their company offers. Nested Knowledge can be the key to staying ahead of the curve and serving as the all-in-one evidence synthesis platform for KAMs.
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In the realm of conducting systematic literature reviews (SLRs), the question invariably arises: how do these new technologies compare to the trusty spreadsheet? Spreadsheets offer
