Posts from September 2014

Natural Language Processing (NLP) and text analytics experts from pharmaceutical and biotech companies, healthcare providers and payers gathered together to discuss the latest industry trends and to hear the product news and case studies from Linguamatics on August 26th.

The keynote presentation from Dr Gabriel Escobar was the highlight of the event, covering a rehospitalization prediction project that the Kaiser Permanente Department of Research have been working on in collaboration with Linguamatics.

The predictive model has been developed using a cohort of approximately 400,000 patients and combine scores from structured clinical data with factors derived from unstructured data using I2E.

Key factors that could affect a patient’s likelihood of rehospitalization are trapped in text; these include ambulatory status, social support network and functional status. I2E queries enabled KP to extract these factors and use them to indicate the accuracy of the structured data’s predictive score.

Leading the use of I2E in healthcare, Linguamatics exemplified how cancer centers are working together to develop queries for pathology reports, mining medical literature and predicting pneumonia from radiology reports. They also demonstrated a prototype application to match patients to clinical trials and a cohort selection tool using semantic tagging of patient narratives in the Apache Solr search engine.


(Cambridge, UK & Boston, USA - 2 September 2014) - Today, Linguamatics I2E Semantic Enrichment has been selected as a KMWorld 2014 Trend-Setting Product.

I2E Semantic Enrichment, the newest offering from Linguamatics, is used within an existing enterprise search deployment to enrich the current search metadata to make information more discoverable and provide more relevant search results.

I2E Semantic Enrichment uses Linguamatics’ text analytics platform, I2E, to bring powerful semantic and natural language processing (NLP) technology to enterprise search applications, particularly within life sciences and healthcare.

The system scans millions of documents, to identify and mark-up semantic entities such as genes, drugs, diseases, organizations, authors, patient characteristics and lifestyle factors plus other relevant concepts and relationships.

Enterprise search engines consume this enriched metadata to provide a faster, more effective search for users. This results in a richer search experience, increased findability and improved speed to insight, enabling users to be more productive and spend less time on search.

 “I2E Semantic Enrichment was selected by the panel because it demonstrates innovative use of natural language processing-based text analytics to address the issue of enterprise search findability, bringing better search results to the most important stakeholder – the customer." says Hugh McKellar, KMWorld Editor-in-Chief.

Dr. Phil Hastings, SVP Sales and Marketing at Linguamatics comments “We’re honored to receive this recognition from KMWorld.