A study by the Regenstrief Institute and Indiana University has demonstrated the potential of using natural language processing technology to extract social risk factor information from clinical notes ...

A novel natural language processing pipeline (NLP) may be able to help expedite the time-consuming process of gleaning this information from summaries. Researchers have developed a rule-based natural ...

Using nationwide electronic health record (EHR) and cancer registry data from the VA Corporate Data Warehouse, we developed and validated a rule-based NLP algorithm to extract oncologist-determined MM ...

Our corpus consisted of a gold-labeled data set of 1,524 clinical notes from 124 patients with lung cancer treated with RT, manually annotated for Common Terminology Criteria for Adverse Events (CTCAE ...

Cerner Enviza is working with the FDA and John Snow Labs to develop AI-based tools that can extract clinical notes from patients’ EHRs. Under the two-year partnership, Cerner Enviza and John Snow Labs ...

When working in healthcare, a lot of the relevant information for making accurate predictions and recommendations is only available in free-text clinical notes. Much of this data is trapped in ...

In a recent study published in npj Digital Medicine, researchers evaluated ChatGPT's ability to extract structured data from unstructured clinical notes. Study: A critical assessment of using ChatGPT ...

Interview on Ontada research presented at ISPOR 2024. Research presented May 6, 2024, at ISPOR—The Professional Society for Health Economics and Outcomes Research highlights the potential for AI ...

NLP-enhanced data from over 154 million patient records facilitates innovation in real-world evidence research via the Veradigm Network CHICAGO--(BUSINESS WIRE)-- Veradigm® (OTCMKTS: MDRX), a leading ...

NEW YORK CITY -- Clinical notes for patients with substance use disorder (SUD) contained stigmatizing language -- such as "junkie," "dirty user," and "this drunk" -- on a regular basis, according to a ...