Mastering KOL Engagement: Streamlining Identification for Pharma Success
Overview.
KOL plays a very important role in the Pharma industry. Key responsibilities of KOL are to provide insights on disease areas, undertake research on drug on company’s behalf, consult on clinical program design and provide advice on product profile. While identifying KOL is a very difficult and time-consuming task. There is requirement to identify precisely who is going to be the KOL to focus upon in the field work.
The client required support for accurately identifying diverse KOLs, integrating and maintaining high-quality data, scaling processes globally, adapting to dynamic KOL influence, ensuring regulatory compliance, selecting suitable technology, and fostering effective user adoption and training. Addressing these requires robust data management, advanced analytics, scalable processes, regulatory adherence, appropriate technology adoption, and comprehensive stakeholder engagement strategies.p>
Solution
Solution was developed using Coforge’s Quasar Accelerator.
Machine Learning and Document AI techniques were used to analyze authors metadata and generate linked data. Further this data is analyzed using Graph AI to get a list of Key Opinion Leaders.
Authors Network data can be visualized and the connection between authors can be analyzed easily by the MSL.
Solution provided APIs to connect with further downstream applications.
