Case Study | Healthcare

Accelerating Clinical Knowledge Delivery with an AI Agent

Providing clinicians with instant insights through a centralized AI agent, improving decision-making and healthcare collaboration at the point of care.

Overview

A leader in clinical education needed a more efficient way to deliver real-time transplant knowledge to clinicians navigating complex, high-stakes care decisions. 10Pearls built a scalable, white-labeled AI agent that provides instant, context-aware answers, transforming how healthcare professionals access critical information at the point of care.

75% faster access
to transplant data

90%+ relevance rate
using RAG

10+ white-labeled
instances for hospitals

Challenge

Clinicians in transplant care were facing limited access to specialized knowledge essential for effective patient care. Existing databases were challenging to navigate, often requiring multiple searches to find the necessary information.

These systems were unable to provide context-aware responses to specific clinical scenarios. Additionally, the client needed a brand-neutral solution that could be customized to their workflows and branding without rebuilding infrastructure from scratch.

Solution

10Pearls developed an intelligent AI agent using retrieval-augmented generation (RAG) technology to deliver precise, real-time responses to complex transplant queries. The RAG architecture combines LLMs with dynamic retrieval from the client’s curated knowledge base, ensuring answers are both accurate and relevant.

Built with a white-label framework, the solution allows hospitals and healthcare networks to deploy the agent with institution-specific customizations. The platform is designed for cross-platform availability, allowing clinicians to access critical transplant knowledge via web or mobile devices. This AI-driven approach transformed static information into an interactive knowledge agent, supporting better clinical decision-making and improving care delivery across transplant programs.

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