Linguamatics Health supports population health and improved clinical care with our sophisticated Natural Language Processing (NLP) platform across a broad range of applications:
Identify high risk patients based on living conditions or life style choices like alcohol or drug use. Using NLP reduces the manual chart review needed to build data sets for machine learning models.
Extract and incorporate important concepts from your data warehouse, Hadoop HIVE or EHR to get a full understanding of your patients. These concepts could include social determinants of health and lifestyle factors.
Linguamatics Health uses RESTful web services to automatically identify high-risk patients. You can monitor and flag early signs of cancer, such as pulmonary nodules in radiology reports.
Automatically extract quality measures for pioneer ACOs such as ejection fraction and pulmonary function values for CHF and COPD patient populations. Extract HEDIS measures such as BMI and A1C for payers and identify fall risk patients.
Mine information such as cancer staging, ejection fraction and pulmonary function to identify missing diagnoses from the problem list.
NATURAL LANGUAGE PROCESSING GLIMPSES INTO THE FUTURE OF UNSTRUCTURED DATA MINING | KLAS | APRIL 2016 | PERCEPTION REPORT
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