Case Study:
Using Large Language Models (LLMs) like ChatGPT to Speed Up Medical Literature Monitoring and Insights
How Large Language Models are helping medical affairs teams increase productivity and reduce medical literature monitoring time
The Client
The client was spending significant time keeping up to date with monitoring and evaluating new medical content. This was a very resource-intense activity and they wanted a way to automate part of this.
The Solution
Using data-driven Natural Language Intelligence (including LLMs) to combine scale and flexibility with contextual understanding, and precision to provide content intelligence for deeper understanding and efficiency.
The Outcome
- Significant Increase in productivity (average from client estimate following implementation is 1000%)
- Significant decrease in literature monitoring time (average from client estimate following implementation is 82-92%)
- Vastly improved tracking to support portfolio products
To achieve these kinds of results, contact Eularis today.
Latest News
Read our latest blogs here.
Pharma’s tough pill to swallow: the pressing need for next-gen business models and transformation using AI
Healthcare is changing at an unprecedented rate. Exciting new technologies and techniques have opened the door to a host of novel medical interventions and approaches.
The AI Race to Cure Rare Diseases: Small Markets, Big Data Solutions
In the shadow of the worldwide healthcare market is a paradox that contradicts all traditional market logic: 300 million patients around the world suffer from
Balancing Privacy and Personalisation in Modern Pharmaceutical Marketing
Personalisation has become a key and critical component of modern marketing. Greater personalisation makes for a more enjoyable and relevant customer experience, while at the