What challenges did Innovaccer face before AI implementation?

Healthcare organizations face data silo challenges due to diverse EHR formats and legacy systems. Complex workflows and strict regulatory compliance require AI agents to securely access and interoperate with varied healthcare systems. Implementing AI agents in healthcare introduces complexity requiring secure access, authentication, encryption, and audit trails across systems.

What was the impact of the AI solution?

Improved operational efficiency and reduced administrative burden on healthcare providers and patients through conversational AI agents. Managed over 80 million unified health records and realized $1.5 billion in cost savings. Significant ROI and enhanced healthcare delivery by enabling scalable, compliant AI agent deployment.

Source

Innovaccer Builds Healthcare AI Agents Using Amazon Bedrock AgentCore to Transform Healthcare Delivery

Use case typeConversational assistantsUpdated Jun 13, 2026

Innovaccer, a healthcare AI company, built a healthcare intelligence platform using Amazon Bedrock AgentCore to address data silos, complex workflows, and regulatory compliance in healthcare. The platform enables secure, scalable AI agents that integrate with healthcare data and tools via MCP-compatible APIs, supporting tasks like immunization scheduling and appointment booking conversationally. Innovaccer's platform manages over 80 million unified health records and has generated $1.5 billion in cost savings, demonstrating significant ROI from AI agent deployment in healthcare.

Organization: Innovaccer
Industry: Healthcare
Location: United States
Published: September 2025

Reported outcomes

Strategic outcomes

New product / capabilityBuilt secure, scalable healthcare AI agentsRisk & complianceEnabled compliant AI agent deploymentCustomer experience & trustImproved healthcare delivery and accessScale & capacityManaged unified health records at scale

Primary read

Use case focus

Showing 2 of 2

1Conversational AI
2AI Agent Deployment

Healthcare organizations face data silo challenges due to diverse EHR formats and legacy systems.
Complex workflows and strict regulatory compliance require AI agents to securely access and interoperate with varied healthcare systems.
Implementing AI agents in healthcare introduces complexity requiring secure access, authentication, encryption, and audit trails across systems.

Innovaccer built an AI healthcare intelligence platform using Amazon Bedrock AgentCore, including AgentCore Gateway, Runtime, and Identity for secure, scalable deployment of AI agents.
The solution leverages Amazon HealthLake for managing patient data, and uses standardized protocols like Model Context Protocol (MCP) and FHIR for interoperability.
AgentCore Gateway converts OpenAPI specifications into MCP-compatible tools, secured with OAuth 2.0 and integrated with Amazon Cognito for authentication.
Innovaccer’s platform supports multi-agent collaboration, logging, traceability, and enterprise-grade security with encryption and audit trails.

Technologies

Amazon Bedrock AgentCore Amazon API Gateway AWS HealthLake Amazon Cognito

Improved operational efficiency and reduced administrative burden on healthcare providers and patients through conversational AI agents.
Managed over 80 million unified health records and realized $1.5 billion in cost savings.
Significant ROI and enhanced healthcare delivery by enabling scalable, compliant AI agent deployment.

Architecture

The architecture includes Amazon Bedrock AgentCore Runtime for deploying AI agents, AgentCore Gateway for secure API access converting OpenAPI specs to MCP tools, AgentCore Identity for authentication using OAuth 2.0 and Amazon Cognito, and AWS HealthLake for patient data management with FHIR standards.

Sources & evidence1

Groundedness: 5/5

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