Clean, structured data is the fuel for an effective trial strategy. It’s what helps sponsors and CROs find patients, identify sites, and build their regulatory submissions. But as clinical research leans more into hyperspecific patient populations for personalized and rare disease therapies, life science leaders are increasingly searching within unstructured spaces: clinical notes, patient-reported data, real-world evidence, and other supporting insights.
These insights are rich with potential, revealing depths of information that structured data, such as diagnostic codes, do not. Optimizing those many dimensions of data offers a distinct advantage as trials across every therapeutic area and phase become more complex. But as promising as unstructured data is for the next generation of trial complexity, refining that data is a central challenge. In this webinar, you’ll learn:
Opportunities in using unstructured data for an increasingly complex trial ecosystem
What clinical terminology is and how it applies to life sciences
The NLP technologies powering next-generation clinical terminology solutions
Use cases for clinical terminology frameworks across the development cycle