Webinar: Mining unstructured patient data for successful population health

July 12, 2016

Shifting payment models based on quality and value are fueling the demand for comprehensive insights into the health of patient populations. In order to thoroughly assess population risk and identify the care needs of individuals, providers and payers need to extract insights from all forms of patient data. Social factors, lifestyle choices, and living conditions all play a major part in the clinical risk for populations and individuals, and yet they are trapped in text-based form.

Due to the demand for population-level insights and real-time patient surveillance, the adoption of advanced natural language processing (NLP) technologies is accelerating as healthcare organizations seek to unlock value from unstructured text. Attend this webinar to find out how Linguamatics NLP platform, I2E, is being used to support successful population health.


About the webinar presenter

Simon Beaulah is Senior Director, Healthcare Strategy responsible for Linguamatics’ healthcare products and solutions including applications in the areas of clinical risk models, population health, and medical research. Previously, Simon was Marketing Director, Translational Medicine at IDBS/InforSense where he was responsible for the company’s market analysis, product marketing and Go To Market strategy in healthcare analytics and translational medicine. Prior to IDBS, he was Director of Product Management at BioWisdom, where he was responsible for delivery of customer projects using the company’s ontology products. He also worked as a senior product manager at LION Bioscience and Synomics, and as a software developer at the UK’s Biotechnology and Biological Sciences Research Council. Simon has degrees from Aston University and Cranfield Institute of Technology.