The University of Pennsylvania Health System will leverage the Linguamatics Health platform to build queries and automatically 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.
“Our organization needed an NLP tool to make unstructured clinical data more accessible for our research and clinical efforts,” said Jason Moore, director of the Penn Institute for Biomedical Informatics (IBI). “We look forward to exploring different opportunities to use Linguamatics I2E’s NLP capabilities to gain additional insights from our unstructured patient data.”
Linguamatics transforms unstructured big data into big insights to advance human health and wellbeing. A world leader in deploying innovative natural language processing (NLP)-based text mining for high-value knowledge discovery and decision support, Linguamatics’ solutions are used by top commercial, academic and government organizations, including 18 of the top 20 global pharmaceutical companies, and leading US healthcare organizations.
Linguamatics I2E is used to mine a wide variety of text resources, such as scientific literature, patents, Electronic Health Records (EHRs), clinical trials data, news feeds, social media and proprietary content. I2E can be deployed as an in-house enterprise system, or as Software-as-a-Service (SaaS) on the cloud. For more information, visit linguamatics.com and follow @Linguamatics on Twitter.
Linguamatics Media contact:
Michelle Ronan Noteboom, Sr. Account Director
+ 1 512.426.2870
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