AI-Powered Healthcare Conversational Agent for Unified Clinical and Academic Knowledge Access

A top-tier US-based academic medical system combining advanced patient care, biomedical research, and medical education. The organization operates a large digital ecosystem spanning hospitals, medical schools, research programs, and community healthcare initiatives, serving millions of users annually.

• Clinical, academic, and research information existed across multiple specialized web properties.
• Users found it difficult to quickly identify relevant cross-functional information without navigating several domains.
• The growing volume of unstructured healthcare and academic content increased search complexity.
• The institution required a scalable solution that could unify knowledge access without disrupting existing digital experiences.

We developed a centralized conversational AI assistant that acts as a digital concierge across the institution’s healthcare and academic web platforms. The assistant complements existing navigation systems by enabling users to ask natural language questions and instantly receive accurate, context-aware responses.

The solution uses automated ingestion pipelines, enterprise semantic search, and foundation models to retrieve and synthesize information from clinical, research, and educational domains in real time.

Key Features

• Parallel ingestion of healthcare, research, and medical education content
• Enterprise semantic search for unstructured medical and academic information
• AI-generated conversational responses grounded in institutional data
• Serverless orchestration for low-latency query processing
• Infrastructure as Code (IaC) for secure and repeatable deployments

• Built using AWS Bedrock, AWS Kendra, AWS Lambda, AWS Step Functions, and AWS CloudFormation
• FastAPI-based API layer for conversational query handling
• Automated state-machine workflows for parallel content ingestion
• Event-driven serverless compute architecture for scalable AI orchestration
• Cloud-native infrastructure supporting secure and maintainable deployments

• Reduced information discovery time by more than 50% through AI-powered conversational search experiences.
• Increased user engagement and self-service interactions by nearly 35% across healthcare and academic web platforms.
• Unified fragmented healthcare and academic knowledge into a single conversational experience.
• Enabled scalable processing of millions of documents with dynamic cloud-native infrastructure scaling.
• Delivered actionable search analytics to support future content and engagement strategies.