Technology companies now market artificial intelligence services that claim to improve patient communication. Most of these products rely on large language models (LLMs) combined with basic Retrieval Augmented Generation. They can write easy-to-read educational notes and send them quickly. Yet these broad systems still miss the mark
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...
Demos
See More