KOL identification
Identify the most influential key opinion leaders (KOLs) across therapy areas by looking into social, research, professional, practice and referral attributes of a physician
Key Opinion Leaders (KOLs) are vital in marketing new products
Identifying the right KOLs and reaching out to them can be crucial for your brand’s success. KoLs can help in influencing the physicians and facilities in their network. Pharma companies typically engage them during the later stages of clinical trials and during drug commercialization. Compile’s array of unified and linked data sources provide visibility into various attributes for physicians and can be leveraged to identify the most influential key opinion leaders (KOLs) and assess their network.
Identifying KOLs by assessing influence networks
Compile uses a unique approach for KOL identification which is a combination of looking at the basic physician attributes like the claims volume, referral activity, payments received, publications, clinical trial and twitter activity along with complex network graph elements. Network graph elements take into account the noise and actual quality of the link and add to the robustness of the approach.
Compile KOL analysis first looks at the node influence on each network individually and later combines them based on desired weightage on each factor. Influence is measured using different centrality measures which identify the central nodes in the network graph. Various directed and undirected network graphs are used to measure degree centrality, eigenvector centrality, in degree centrality and pagerank. Coworker affiliation, clinical trial investigator, pubmed coauthorship, medical school, citation, speaker attendee and referral networks are accounted for ranking the top KOLs.
What makes Compile's solution better?
Unified & linked data
Compile has ingested, cleaned and linked various data sources like PubMED, Clinical trials, Twitter, Open payments, etc. to get a complete view
Innovative approach
Using graph analytics to assess the network of a physician individually makes Compile’s KOL solution more robust
Faster insights
Compile’s unified data and automated algorithms can identify the KOLs in a therapy area in less than a day as opposed to 2 to 4 weeks traditionally
User friendly and intuitive dashboard for deriving insights
Compile’s KOL dashboard gives the user to weigh the different basic and network elements to come up with a final score for ranking the physicians according to their use case.
Deep dive into a physician level view to understand the influence network and various other attributes including the treatment activity, affiliations, publications, etc.
Other Applications
IDN level of control
Leverage the learnings from IDN level of control analysis to enhance customer engagement, more efficient...
Read More
Disease area landscape & overview
Inform brand strategy by looking the claims and patient trends by various patient, physician, provider...
Read More