Generic AI bots miss patient context. Healthcare NLP paired with medical LLMs extracts SDOH, diagnoses, and medications to deliver truly personalized patient communication.
Julia sat quietly, holding a printed brochure about diabetes care while her doctor talked through the usual tips she had heard many times before. At sixty-five, newly widowed and living...
Introduction Oncology data is inherently complex, dispersed, and often unstructured. Extracting actionable insights from Electronic Health Records (EHRs) and other clinical data sources poses a significant challenge for healthcare professionals....
Over the past few years, there’s been a quiet revolution in healthcare AI. The buzz around large language models (LLMs) has pushed them into the limelight, capturing imaginations with their...
In the early spring of 2023, a mid-sized health system on the West Coast faced a pivotal decision. The CIO, Maria, had just returned from a conference buzzing with excitement...
The healthcare industry faces a growing challenge in handling prior authorization denials, which cost the U.S. healthcare system approximately $31 billion annually1. These denials lead to significant revenue loss for...
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