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

6 Guiding Tips for Selecting a Fit for Purpose Data Set

Article

Tips for selecting a fit for purpose data set

Using real-world data (RWD) that are not fit for purpose can waste time and money. Review 6 simple steps to guide your research towards the right data.

Weight Loss Medications: What Real-World Data Can Reveal

Article

What real-world data can reveal about weight loss medications

Optum Life Sciences expert provides insights on how manufacturers can build value stories for their stakeholders.

Redefining the Prior Authorization Process

Article

Redefining the prior authorization process

Learn how we are revamping the prescribing process.