Leverage the power of network analysis to identify Key Opinion Leaders (KOLs) and understand their paths of influence
By combining all physician interactions across activity types, from clinical to social, Compile’s KoL map removes biases that hinder traditional approaches
Various directed and undirected network graphs are used to measure degree centrality, eigenvector centrality, in degree centrality and pagerank
Reduce the time taken to generate all associated data of your target HCPs, with Compile’s pre-linked data that connects clinical activity with public datasets
Deep dive into a physician level view to understand the influence network and various other attributes including the treatment activity, affiliations, publications and more
Compile uses a unique approach for KOL identification which is a combination of looking at the basic physician attributes like claims volume, referral activity publications and more, combined with complex network graph elements.
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
Compile has ingested, cleaned and linked various data sources like PubMED, Clinical trials, Twitter, Open payments, etc. to get a complete view
Using graph analytics to assess the network of a physician individually makes Compile’s KOL solution more robust
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
Generate KoL profiles instantly using basic market definitions. Compile’s application also allows the user to weigh network elements to tune the score to their use case
By pre-linking all the data elements and incorporating the graph analysis, Compile’s KOL application simplifies analytical and query requirements
All data is self-refreshing, and KOL profiles are generated at query time, ensuring accurate and timely updates