The challenge of bringing guidelines to the bedside is not new. But the tools to meet it have evolved. It is time for guideline developers to move beyond dissemination and toward interaction—for guidance that is not only accessible, but context-aware, computable, and patient-specific. We believe that with the right foundation, the right models, and the right respect for clinical complexity, AI can help us finally close the gap between what we know and what we do.
It is 2:45 p.m. on a Tuesday in a busy emergency department. Dr. Reyes, a seasoned internist, has just been handed the chart for Mr. Thompson, a 68 year-old man...
Conversational Artificial Intelligence (AI) holds the potential to transform clinician‑patient interactions by improving accessibility, engagement, and efficiency in healthcare. Leveraging technologies like Natural Language Processing (NLP) and machine learning, conversational AI...
This session introduces ‘CC’, the vCare Companion Robot, which helps hospital staff reduce administrative burden by 3+ hours per shift – and increase the quality of life for overburdened care...
Many important healthcare applications like matching patients to clinical trials, applying the right clinical guidelines, differential diagnosis, clinical coding, patient registries, and real-world data curation depend on understanding the full...
“Knowledge Management with Gen AI and RAG challenges” explains why Knowledge Management is a foundational piece of how enterprise will operate in the New AI era and how to implement...
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