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Optimizing KOL Engagement and Scientific Insights for a Global Biopharma

Client Overview

A global biopharma leader, operating across the US, Europe, Canada, Australia, and Latin America, is dedicated to developing transformative medicines for life-threatening diseases. Their Global Medical Affairs function plays a crucial role in engaging healthcare professionals (HCPs) and sharing cutting-edge scientific innovations.

To enhance their HCP engagement, the client aimed to automate knowledge extraction, identify influential HCPs, and optimize communication strategies.

Key Challenges

  • Data Fragmentation: Accessing disparate, unstructured sources like Scopus, PubMed, Congress extracts, Sunshine Act datasets, and Veeva CRM.
  • Manual Processes: Summarizing large volumes of text from 50K+ MSL notes and 30K+ publications required significant manual effort.
  • KOL Identification: Developing sophisticated algorithms to map HCP networks and identify the most influential KOLs.
  • Emerging Topic Discovery: Utilizing Biomedical AI to uncover trends in scientific literature.

Business Urgency

Streamlining manual workflows and accelerating insights were critical to maintaining a competitive edge in a fast-evolving biopharma landscape.

Solution

Tredence implemented an AI-driven solution powered by Medical LLMs and advanced analytics to automate processes and deliver actionable insights:

Core Components:

  • Unified Data Platform: Centralized and cleansed data from multiple unstructured sources.
  • Medical LLM Integration: Used Medical Large Language Models (LLMs) to extract insights from MSL notes and literature.
  • NLP-Powered Use Cases: Deployed NLP models to summarize scientific literature and identify emerging topics.
  • Graph Network Analytics: Leveraged graph analytics to map HCP networks and pinpoint influential KOLs who could amplify scientific innovations.

Technology Stack

  • John Snow Labs
  • Databricks
  • Microsoft Azure
  • OpenAI

Results

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30% Increase in Concept Discovery:
Improved ability to uncover emerging scientific trends.

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80% Overall Solution Automation:
Reduced reliance on manual intervention across workflows.

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80% Reduction in Manual Efforts:
Streamlined data processing and analysis.

Results

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