Skip to main content

White paper

Natural language processing methods (NLP) for Optum clinical data

Learn more about Optum NLP methodology in this white paper.

From unstructured notes to insight and discovery

Manual review of unstructured data from electronic health records (EHRs) is typically impractical given the time commitment required. But the information contained in these data can often provide you with key information, ranging from characteristics of specific diagnoses to symptoms to patient risk behaviors.

Natural language processing (NLP) technology allows you to extract insights from free-text, de-identified EHR data. Optum curates EHR data using proprietary NLP systems to help you understand the progression of diseases with details often not available in structured formats. Review this paper for a better understanding of our NLP methodology.

Related healthcare insights

Article

Reconcile your RWD expectations to maximize your investment

Understand how routine clinical practice impacts information captured in real-world data (RWD).

On-demand webinar

Increasing potential of genomic data

Hear from experts in this Endpoints News webinar on the increasing importance of clinicogenomic data, including diverse phenotypic and genotypic profiles.

Video

Maximize Your Real-World Data Strategy

Optum Life Sciences leaders break down common missteps when using RWD and how to create practical strategies to overcome them. Watch the video from STAT Summit.