Real World Data can be used for many different objectives across the drug development lifecycle from development to after commercialization. This data may be of relevance to optimize clinical trials via more efficient site and patients’ identification, to understand the disease landscape, to enrich context for market access, to follow-up long term safety and drug utilization patterns, and support commercial analytics.

One data source may not fully answer a question; therefore, a combination or enrichment of data assets may need to be envisaged.

Most Real-World Data is generated for administrative purposes, thus in order to make it fit for analytical research, its critical to ingest, standardize and link the disparate data sets to create insightful, analytical output. The challenge is that currently data and analytics teams spend 80% of their time preparing data and only 20% using it.

What can NLP do for you?

NLP not only reads documents for you, but also extracts and normalizes valuable insights, like key facts and relationships, in response to normal search phrases and queries. Hours-long tasks are reduced to minutes, and richer intelligence translates to an enviable competitive advantage.

• Connect your sources: Queries can run simultaneously across multiple diverse data sources, whether they're located locally, in the Cloud, or elsewhere.
• Straight to the answer: Our NLP platform instantly delivers high value knowledge summarized with drill down to supporting evidence and easy visualizations.
• Interactive: NLP platform delivers rapid, transparent, structured results that allow you to easily refine queries on-the-fly.
• Flexible web services: Restful Web Services give programmatic access to the NLP extraction functionality. Users can create new, customized interfaces tailored to different types of use and specific projects.