Using the Health NER Model model can save time and resources in the extraction of SDoH entities from clinical text. It also can be used for SDoH data analytics to analyze the relationship between SDoH and health outcomes.
The social determinants of health (SDoH) are the non-medical factors that influence health outcomes and usually one of the hardest type of entities to extract with pre-trained clinical NLP models....
Spark NLP for Healthcare There is a growing need for automated text mining of Electronic health records (EHRs) in order to find clinical indications that new research points to. EHRs...
Why is clinical documentation driving burnout? Documentation is one of the most cited contributors to physician burnout. Doctors are spending hours outside of clinic, often termed "pajama time"- finishing notes,...
What is driving the adoption of robotics in hospital logistics? Hospitals are rapidly deploying robotics to alleviate staffing shortages and improve operational efficiency. With a market valued between $1.5 and $3.9 billion...
Voice of Patients (VoP) NER, a brand-new Named Entity Recognition (NER) model released by John Snow Labs, can extract clinical entities from patient forums much better than any other clinical...
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