Generative AI in Pharma: Transforming Medical Affairs

I have been impressed by the recent spike in use cases of Generative AI applications for the Medical Affairs organizations in pharmaceutical companies, and shall like to share some observations.

Scientific engagement data, as well records of scientific leaders’ clinical / research activities, both syndicated and/or directly managed by the pharma companies, are ingested into Generative AI machines to produce insights guiding Medical Affairs in their understanding of key opinion leaders’ priorities and helping developing relevant dialogues with the medical scientific community.

By reducing dense scientific knowledge into digestible summaries and abstracts, AI technology- in particular, Natural Language Generation (NLG) - offers a means of improving efficiency and relevance in medical affairs endeavours.

Gen AI leveraging scientific engagement data sources

In their frequent interactions with scientific leaders and healthcare providers, medical affairs staff members—like medical scientific liaisons—capture unstructured data using a variety of systems, including Customer Relationship Management (CRM) applications or peer-to-peer social platforms. These exchanges produce information that generative AI may improve and examine to surface insights.

Enhancing Unstructured Data

Natural language processing methods are used by generative AI systems to handle unstructured data inputs, such as notes from interactions and discussions. Subsequently, they establish a connection between this…