Are you utilizing patient data to its full potential?

While structured data is now commonly deidentified and used for a multitude of purposes, it’s only part of the story. Approximately 80% of patient data is unstructured. Important knowledge – such as why patients are improving, or worsening – is often hidden away in unstructured text, requiring natural language processing (NLP) to help extract it. Commercialization of both structured and unstructured data is possible while not distracting from a primary concern - maintaining a layer of protection for your patients.

Seemingly marginal insights captured in de-identified patient data can end up being highly significant, driving medical device innovation and greater advances in patient health (even outside the clinical trial setting).

Join IQVIA’s Linguamatics and Privacy Analytics teams, live, as we discuss:

• Why relying on structured data alone isn’t enough
• How a unified solution (NLP + De-identification) helps you safely extract and share more, better data
• Success stories from organizations that use both types of data
• How to bring the whole story together and commercialize on your data efforts