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LabKey and Linguamatics Partner to Extract Clinical Insights from Big Data in Healthcare

Linguamatics, a natural language processing (NLP) text analytics provider, and LabKey, a provider of bioinformatics data management solutions, are partnering on an integrated solution designed to streamline the extraction and curation of valuable insights from large volumes of unstructured clinical notes and reports.

Linguamatics NLP engine I2E enables healthcare and life sciences teams to reduce the manual processes involved in information analysis and extraction. And, when integrated with LabKey Server’s document processing pipeline and curation user interface (UI), the combined solution provides an end-to-end pathway for unstructured data from acquisition to analysis.

The LabKey and Linguamatics relationship is based on collaborative work with the NCI’s Surveillance, Epidemiology, and End Results (SEER) Program. According to the companies, theproject has resulted in an NLP pipeline that automates the annotation and review of pathology reports, to build "a large gold standard" for machine learning training.

LabKey's processing pipeline, workflow, and curation UI  combined with Linguamatics' NLP capabilities provides a complete solution for organizations that need to extract valuable information from large volumes of unstructured clinical data, explained Adam Rauch, vice president of product management at LabKey. This supports abstractors and reviewers with the technologies they need to accelerate the extraction process from end-to-end.

Additional information is available from www.linguamatics.com and www.labkey.com.

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