CAMBRIDGE, England and BOSTON, Nov. 18, 2013 /PRNewswire/ -- Linguamatics, the leader in natural language processing-based (NLP) text mining and analytics, today announced the launch of Linguamatics Health, a new clinical NLP suite that enables hospitals and research organizations to harness the information contained in unstructured fields of EHRs and patient narratives to drive healthcare analytics, advanced research and improved patient outcomes.
Linguamatics Health provides the technology needed to extract meaningful information from the mass of data located in complex patient documentation such as pathology and radiology reports, physician notes, and discharge reports. The information is then used in data warehouses, predictive models and dashboards to improve hospital efficiency and support Meaningful Use initiatives. The information can also be used to populate clinical annotations for biobanks and provide data for Clinical Trial Management Systems to improve disease understanding and clinical trial recruitment.
"While the rapid adoption of EHRs in recent years has integrated many data silos together, healthcare providers are still faced with a large proportion of their data in unstructured form. To achieve the improvements in hospital efficiency and patient outcomes required to cope with rising costs and an aging patient population, hospitals, payers and other healthcare organizations need to make better use of unstructured text," said Phil Hastings, Senior Vice President, Sales and Marketing, at Linguamatics.
"I2E breaks the mould for clinical NLP: its ability to quickly and easily develop and refine query strategies enables users to get results much faster without needing to be NLP experts, leading to dramatically improved speed to insight. We are filling a major gap in functionality for clinical NLP with a robust, scalable platform that can easi
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