Despite the increasing use of real-world data (RWD), a significant portion of valuable healthcare information remains underutilized. The unstructured data in Electronic Health Records (EHRs), such as physician notes and discharge summaries, which do not fit standardized formats and are often overlooked in standard analytics.
In this 60-minute live webinar, senior leaders from Moderna, Pfizer, Viatris and Veradigm will share case studies highlighting how advanced technologies like natural language processing (NLP) and machine learning can mine unstructured EHR data to generated meaningful RWE.
Hear real examples on how pharma innovators integrate these unstructured data elements with traditional structured data, uncover hidden patterns and insights, and become a trusted partner of physicians and patients.
Key learnings include:
- The Role of Unstructured EHR Data in Real-World Research: Presenters will share experiences and studies that leverage different types of unstructured data, using NLP technology to uncover hidden insights.
- Quality and Reliability of NLP Models: How to achieve high accuracy rate without compromising efficiency.
- Challenges of Finding the Right Data: The benefits of accessing unstructured data from vendors with direct relationships with both providers and patients.
