I2E Asynchronous Messaging Pipeline (AMP) Extract, Transform, Load (ETL) technology automates the NLP text mining of real-time documents at scale
Cambridge, UK & Boston, USA – December 6th, 2016 –Text analytics provider Linguamatics today introduced the I2E Asynchronous Messaging Pipeline (AMP) platform to help healthcare professionals find critical clinical insights faster using Natural Language Processing (NLP).
The addition of I2E AMP to Linguamatics’ award winning NLP text mining solution, I2E, makes the management of background healthcare workflows more efficient, and provides scalability as NLP text mining requirements grow. By automating the text mining of real-time documents, I2E AMP can provide healthcare professionals with rapid insights and help them make timely – and potentially critical – clinical decisions.
“Our goal at Linguamatics, is to provide healthcare professionals with the ability to turn unstructured EHR data into actionable information,” said Simon Beaulah, Senior Director of Healthcare, Linguamatics. “I2E AMP ensures rapid textual processing of electronic health records so that physicians have quick access to the information they need for clinical decision-making. This, not only, leads to enhanced patient outcomes; it also gives physicians more time to be personally attentive to the patient during the clinical encounter.”
Dr Elizabeth Marshall, MD and Director, Clinical Analytics at Linguamatics, offered a real-world example of the potential impact of I2E AMP in an emergency department setting. “Consider the situation where an accident victim arrives with cracked ribs and a possible traumatic pneumothorax,” said Dr Marshall. “The chest x-ray report also indicates the presence of a pulmonary nodule. The ED team addresses the immediate problem. Concurrently, I2E AMP rapidly flags the patient record for nodule follow-up. The clinical care coordinator receives a new task to contact the patient and arrange further investigation. The patient’s healthcare team are thus able to address the nodule and investigate quickly – so the risk of it evolving into something much more serious is avoided.”
In addition to the rapid textual processing of electronic health records for Clinical Risk Monitoring, I2E AMP supplies scalable document processing, for use cases such as semantically-enhanced enterprise search, and text ETL for data warehouses.
I2E AMP provides high-throughput, fault tolerant processing for real-time document or record handling, and addresses the NLP text mining and ETL requirements of organizations – from small office, mid-sized department, to large healthcare system or biopharma.
Linguamatics is the world leader in deploying innovative natural language processing (NLP)-based text mining for high-value knowledge discovery and decision support. Linguamatics I2E is used by top commercial, academic and government organizations, including 17 of the top 20 global pharmaceutical companies, the US Food and Drug Administration (FDA) and leading US healthcare organizations. I2E can be 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.
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