Clinithink and Healthix – the largest public health information exchange (HIE) in the U.S. – are partnering on a program designed to leverage Healthix clinical data to facilitate assessment of pre-trial feasibility, ensuring the validity of protocol design. The new program aims to improve population health in New York City and Long Island by eventually making cutting-edge treatments available to patients.Healthix Data & Clinithink AI – A Blueprint for InsightWith health data of over 17
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Northwell Health Adopts NLP Tech to Accelerate Patient Identification for Clinical Trials
Northwell Health has implemented Clinithink's natural language processing (NLP) solution, CLiX ENRICH to reinvent the clinical trial feasibility model – enabling the rapid identification of potential patients for clinical trials that had simply been missed before. The solution has allowed Northwell to successfully identifying candidates for clinical trials in hours not months.
Proof of Concept Study Details
By quickly and efficiently processing existing unstructured patient data, sites are able
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Chilmark Report: NLP Technology is Poised to Unlock Value of Unstructured Health Data
In the span of 10 years, healthcare organizations (HCOs) have gone from having very little information available for data mining to nearly drowning in vast and complex digital information. Simultaneously, the effort required to enter and clean the data has been unsustainably high, affecting clinician morale and analysts’ ability to extract insights for improving population health.All that is about to change for the better. As revealed in the latest Chilmark Research report, Natural Language
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Clinithink Receives Mediwales 2013 Innovation Judges’ Award
Clinithink, a world-leader in clinical natural language processing (CNLP) technology, today announced that it received the 2013 MediWales Innovation Judges’ Award.
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Transforming Healthcare With Clinical NLP To Improve Patient Outcomes
Sponsored video from Clinithink describes how Clinical NLP can unlock healthcare data to improve clinical decisions at the point of care.
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