Paper charts trapped critical information. Early EHRs didn’t do much better.Now, with advanced NLP and clinical intelligence, leaders like emtelligent are finally freeing unstructured data so care teams can use it when it matters…
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Delirium affects 50% of hospitalized older adults and 80% of ICU patients, yet detection rates are as low as 20–30% with traditional methods. Natural language processing (NLP) offers potential for automated detection from clinical…
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emtelligent offers a variety of AI-based services in health care. In a recent interview at the HLTH conference with Tim O’Connell, MD, Co-Founder and CEO of emtelligent, explains how they ensure a good ROI,…
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What You Should Know:
– Cohere Health, a leader in clinical intelligence solutions, has acquired ZignaAI and launched a new Payment Integrity (PI) Suite, which is anchored by Cohere Validate™. Financial details of the acquisition…
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What You Should Know:
– PurpleLab, a healthcare analytics company, has acquired KAID Health, an AI-powered clinical analytics and care management company. Financial details of the acquisition were not disclosed.
– The acquisition combines PurpleLab’s large-scale…
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Timely care in a specialised neuro-intensive therapy unit (ITU) reduces mortality and hospital stays. Planned admissions to ITU following surgery are safer than unplanned ones. However, post-operative care decisions remain subjective. This study used…
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What You Should Know:
–ZeOmega®, the leading population health management organization, today announced its partnership with Datycs, a leading provider of clinical AI/Natural Language Processing (NLP) solutions, to automate converting unstructured data from faxed documents…
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The National Centre for Healthy Ageing, a research institute by Monash University and Peninsula Health in Australia, has developed a new AI-driven method to efficiently identify dementia in hospitals. It researched ways to uplift dementia…
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Detailed social determinants of health (SDoH) is often buried within clinical text in EHRs. Most current NLP efforts for SDoH have limitations, investigating limited factors, deriving data from a single institution, using specific patient…
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Artificial Intelligence can mitigate the global shortage of medical diagnostic personnel but requires large-scale annotated datasets to train clinical algorithms. Natural Language Processing (NLP), including Large Language Models (LLMs), shows great potential for annotating…
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