NLP solution helps Penn Medicine mine unstructured clinical data

The University of Pennsylvania Health System is deploying a natural language processing (NLP) text analytics solution to help extract actionable insights from unstructured patient data.

The University of Pennsylvania Health System has chosen the Linguamatics Health enterprise NLP platform, powered by 12E. The solution will be used to build queries and mine clinical data from patient encounter records, specialist reports and unstructured EHR notes. Specific use cases will include the identification of cohorts of patients with certain medical conditions and locating additional clinical annotations for the PennOmics system for translational research.

Jason Moore, director of the Penn Institute for Biomedical Informatics (IBI), says, “Our organization needed an NLP tool to make unstructured clinical data more accessible for our research and clinical efforts. We look forward to exploring different opportunities to use Linguamatics I2E’s NLP capabilities to gain additional insights from our unstructured patient data.”

Simon Beaulah, senior director of healthcare at Linguamatics, says, “We look forward to working with Penn Medicine to help them unlock valuable insights from clinical notes to advance research initiatives and enhance the delivery of care. Our growing community of academic medical centers across the country have deployed the Linguamatics Health platform and are taking advantage of its ease of use, powerful NLP capabilities, rapid query development and successful integration with enterprise systems.”