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Linguamatics and RealHealthData Partner to Extract Real World Evidence from Patient Narratives

04:29 EDT 3 Aug 2017 | PR Newswire

SANTA CRUZ, Calif. and CAMBRIDGE, United Kingdom and BOSTON, Aug. 3, 2017 /PRNewswire/ -- Natural Language Processing (NLP) text analytics provider Linguamatics, and RealHealthData, a narrative medical records database provider, today announced their strategic partnership to combine Linguamatics' advanced NLP technology with RealHealthData's extensive database of detailed provider narratives, to improve the understanding of drug use, adverse events, and product switching in Real World settings. 

Understanding the real world (i.e., outside of clinical trials) impact of therapies on patients is critical for pharmaceutical and biotech companies. Medical records are one of the key sources of real world data, and provide evidence that can inform all phases of drug development. RealHealthData provides access to patient narratives from all 50 US states and every medical specialty. The data can be used for all phases of drug development and post marketing research. Linguamatics I2E can be used to extract the key facts from these narratives using relevant ontologies and queries, transforming real world data into actionable intelligence for better decision making.

"Deploying Linguamatics I2E Advanced NLP engine to the RealHealthData database of detailed provider narratives is a natural fit," said Manuel Prado, CEO of RealHealthData. "Current and future customers can now access the unique and valuable insights in the database using a first-in-class, healthcare-specific Natural Language Processing platform."

The unstructured text of EHRs and patient records provides a level of detail and granularity not available from the structured fields that life science companies usually work with. RealHealthData's database of patient narratives contains detailed records that include valuable information that could impact patient outcomes, such as patient social status, and detailed clinical characteristics (comorbidities, complications, co-medications, lab values, adherence or switching issues).

David Milward, CTO of Linguamatics, said: "Using I2E we can search this huge amount of unstructured patient data using NLP, incorporating machine learning to directly find patients of interest (e.g. diabetic patients who smoke and have a weight over 80kg), and use the longitudinal data to look at outcomes or behaviour over time."

"We believe this partnership will enhance the value we can provide our life science customers for health economics and outcomes research, epidemiology, and medical affairs. We look forward to working with RealHealthData as we explore additional opportunities to improve the use of Real World Evidence," said Jane Reed, Head of Life Science Strategy at Linguamatics.

About RealHealthDataRealHealthData was established with the simple goal of creating actionable data from medical records. The dataset of detailed narrative medical records provides a unique perspective on patient conditions and their interactions with physicians. De-identified medical records are compiled into a single database which can be queried for diseases, medications, devices, reason for medication switching and any other elements in a real clinical setting. RealHealthData´s database contains detailed records from all medical specialties from all 50 US States. Our ultimate goal is to provide our clients with customized and unprecedented access to real-world healthcare outcomes. For more information visit RealHealthData.com

About Linguamatics
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, the US Food and Drug Administration (FDA) 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
Amendola Communications
+ 1 512.426.2870
mnoteboom@acmarketingpr.com

RealHealthData Media contact: Philip Howell, Director
RealHealthData
+1 904.572.0229
philip.howell@realhealthdata.com

View original content with multimedia:http://www.prnewswire.com/news-releases/linguamatics-and-realhealthdata-partner-to-extract-real-world-evidence-from-patient-narratives-300498945.html

SOURCE Linguamatics

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