Case Study | Healthcare

Accelerating Clinical Knowledge Delivery with an AI Assistant

Providing clinicians with instant insights through a centralized AI assistant, 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 assistant 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 built a generative AI assistant that uses retrieval-augmented generation (RAG) to answer complex transplant questions from the client’s curated clinical content, including course manuals and question banks. Source content lives in Amazon S3, with AWS Lambda processing new and updated material as it arrives. The content is embedded using OpenAI models and indexed in Pinecone. Retrieval and reranking surface the most relevant passages for each query, and OpenAI’s GPT models generate responses grounded in those passages.

LangGraph orchestrates the retrieval and generation workflow, including a dedicated agent for quick-reference summaries. Redis maintains conversation memory, allowing clinicians to ask follow-up questions without restating the context. Langfuse traces model calls, helping the team assess response quality and track cost.

The containerized application runs on Amazon EC2, with AWS Elastic Beanstalk managing deployment and scaling behind an Application Load Balancer. Amazon CloudFront delivers the web experience with low latency, while AWS Secrets Manager protects API keys and service credentials. Amazon SES sends transactional emails, including account and access notifications, and Amazon RDS stores structured application data, including records and configuration for each white-labeled instance.

AWS Glue prepares application and usage data for Amazon Redshift, giving the team a central warehouse to analyze adoption and engagement across institutions. The white-label architecture lets each hospital and university deploy the assistant under its own branding, while a single codebase supports web and mobile deployments across multiple countries.

Results & benefits

Clinicians can now get answers to complex transplant questions through a single conversational query instead of searching across static databases. Access to transplant data is 75% faster, and the RAG-based assistant has achieved a relevance rate above 90%.

The solution has supported more than 10 white-labeled hospital instances. Available on web and mobile, it gives clinicians easier access to specialized knowledge when they need it.

About us

10Pearls is an award-winning, AI-native digital development company headquartered in Washington, D.C., with delivery centers across the United States, Latin America, the United Kingdom, and Pakistan. We specialize in product strategy, software engineering, data and analytics, cloud modernization, and AI solutions for clients in healthcare, energy, financial services, technology, and beyond. As an established AWS Partner, we bring deep expertise delivering cloud-native solutions on AWS, with a proven track record across data engineering, application modernization, and managed cloud services.

Customer

Healthcare educational organization

SERVICES

Artificial Intelligence
Custom Software Development
Generative AI
Product Innovation
Mobile App Development
Privacy & Security
Web App Development

Tech stack

  • AWS
    • Amazon S3
    • AWS Lambda
    • Amazon EC2
    • AWS Elastic Beanstalk
    • Application Load Balancer
    • Amazon CloudFront
    • AWS Secrets Manager
    • Amazon SES
    • Amazon RDS
    • AWS Glue
    • Amazon Redshift
  • OpenAI embedding models
  • OpenAI GPT models
  • Pinecone
  • LangGraph
  • Redis
  • Langfuse

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