Optimizing Drug Development Monitoring Processes

This case study details how a multinational pharmaceutical company's Research and Development (R&D) and Competitive Intelligence (CI) teams improved their monitoring of drug development by consolidating multiple pipeline databases. The lengthy drug development process incurs significant overhead costs, necessitating efficient tracking of global developments. The challenges faced included missing relevant data due to differing indexing terms, the need for multiple searches with variant terminology, and time-consuming efforts to consolidate data. Infodesk's AI-powered intelligence provided a solution through federated searching, which enabled simultaneous queries across multiple databases while maintaining precision. The integration of records reduced the risk of missing data and improved the efficiency of the teams' workflows. The implementation of Infodesk's hierarchical taxonomies and standardized formats facilitated easier identification of disparities in data. As a result, the output from queries increased significantly, enhancing the quality of landscape reports and allowing for timely expert evaluations.