WHITEPAPER

    Improving Healthcare Decisions with Knowledge Graphs

    Building more robust, accurate, up-to-date, and efficient AI models

    Traditional healthcare data systems struggle to manage the growing volume of unstructured information, making clinical decision-making inefficient and fragmented. But with the rise of Generative AI and large language models (LLMs), healthcare organizations now have an opportunity to transform how they interpret and act on complex clinical data.

    This whitepaper explores how knowledge graphs, integrated with LLMs, can drive a new era of intelligent, explainable, and scalable AI applications—enhancing care delivery while improving operational efficiency. Learn how to build robust knowledge graph architectures, integrate them with generative AI, and unlock deeper insights from clinical guidelines, notes, and reports.

    Download the whitepaper to explore:

    • The benefits of knowledge graphs for Payers & Provides
    • How knowledge graphs and Generative AI reshape clinical decision support
    • How knowledge graphs give GenAI the context to deliver accurate and explainable insights
    • Real-world insights from CitiusTech’s AWS-powered knowledge graph implementation