A KOL program is at its best when it is selectively working with the best KOLs. We have a decade of experience at finding KOLs who are custom-tailored for programs across the spectrum of medical specialties and therapeutic areas. We’ve used both primary and secondary identification techniques to create a list of the best-suited KOL candidates; now, and with an eye to future needs.
Our profiling services have been fine-tuned over the years to the point where we can comprehensively yet selectively find all the profile information you’ll ever need to make accurate KOL decisions. Furthermore, our Profile dataset was recently re-designed with a focus on collecting new information that contributes to meaningful analyses that aid in KOL segmentation and selection. These analyses help our clients efficiently transform raw data into actionable decisions.
Working with the best KOLs means working only with KOLs who have constantly held themselves to the highest ethical principles. The last thing we want is for one errant KOL to generate unforeseen and unwanted headlines for a program or company. Our Screening service verify that all KOLs are appropriately licensed by their state boards, as well as confirming that they have not been subject to state board actions or federal debarment processes.
The long-term needs of KOL Management programs invariably extend beyond just data. In reality, the information actually becomes the substrate for the healthcare analytics that bridge the divide between data and decision. Our extensive background in analytics has been used to help clients achieve success in areas such as Competitive Analysis, Fair Market Value Studies, Post-hoc Ranking and KOL Program Gap Analysis. Our profile schema has recently been redesigned with an eye toward capturing information that can be used in follow-on analytics that make thought leader comparison, segmentation and selection much easier.
Read how we helped one of our clients to improve KOL engagement.
A client recently asked us to compare their KOL interactions with those of their competitors, across multiple therapeutic areas, in order to see if they were getting comparable share-of-mind. Since all KOLs were US-based, we leveraged the extensive data available in the CMS’ OpenPayments system to run a multifactorial analysis. Our results showed that, although they were engaging with their KOLs at the same level as their competitors, they lagged significantly in those activities - like research support, CME and educational events - that have better optics within the medical community. This allowed our client to realign their resources in order to better accommodate the needs of their KOLs.