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Precision Medicine
Precision medicine refers to the ability to tailor treatment to the most appropriate group of patients, either at the clinical level, or within drug discovery and development.
Clinical Research
Mining unstructured data to support medical research has been prevalent for many years. This requires analysis of Big Data sets and often includes manual chart review to identify patients and extract specific attributes.
Patient Safety
Patient safety is always a priority. Detecting early signs of clinical risk and disease gives us a greater chance of a successful outcome.
Quality Measures
The regulatory burdens of initiative quality measures continue to put a strain on overworked hospital departments, and payers alike.
Disease Registries
Better disease management may be obtained by adding vital information in the form of unstructured data to your disease registries.
Population Health Management and Analytics
To enhance population health analysis and identify the care needs of individuals, providers and payers must extract insights from data stored in unstructured text in EHRs.
Big Data Analytics in Healthcare
The term "big data" was coined in the early 2000s by industry analyst Doug Laney. In Laney's definition, the term referred to information existing in large data sets, with high update rates and in a variety of formats.
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Case Study: Supporting Value-Based Care at Atrius Health
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Latest Blogs
8 Mar 2021
Five Considerations for Knowledge Managers Leveraging Scientific Literature for Text and Data Mining
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23 Feb 2021
Hywel Evans
Unlocking the value of preprints with automated search and insights
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3 Feb 2021
Elizabeth Marshall (MD)
Substance Abuse: Rising from the Fall - Can Natural Language Processing Help?
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Webinar: Introduction to NLP for Healthcare
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Linguamatics Virtual NLP Summit 2020
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Webinar: Driving Innovation from Bench to Bedside with NLP
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Baerbel LoSacco, Boehringer Ingelheim
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