Overview
Lab Flow is an AI-powered diagnostic lab operations platform built on AWS that helps clinical, molecular, and anatomic pathology laboratories accelerate workflows from order intake to reported result through automated accessioning, specimen tracking, result routing, and structured reporting workflows. Leveraging Amazon Bedrock, retrieval-augmented generation (RAG), and MCP-enabled integrations, the solution connects laboratory information systems (LIS), instrument middleware, order-intake channels, and clinical systems to deliver explainable, citation-backed operational intelligence across the diagnostic testing lifecycle.
The platform automates the labor-intensive tasks traditionally associated with diagnostic lab operations, including ingesting orders from fax, portal, and EHR channels, managing accessioning and specimen-tracking exceptions, orchestrating rule-driven result routing and reflex testing logic, and generating structured reports for reviewer sign-off. By replacing fragmented manual workflows and transcription-heavy processes with a structured, auditable workflow environment, Lab Flow enables technologists, reviewers, and laboratory operations teams to focus on clinical judgment and exception management instead of repetitive administrative work.
Highlights
- Autonomous laboratory workflow orchestration. Uses AI-powered automation to manage multi-channel order intake, accessioning, specimen tracking, result routing, and structured report generation across diagnostic workflows.
- Explainable diagnostic intelligence. Leverages Amazon Bedrock and retrieval-augmented generation (RAG) to provide citation-backed reporting, reviewer transparency, and auditable workflow decisioning.
- Reviewer-centric operational workflows. Supports exception handling, reviewer sign-off workflows, reflex testing logic, and rule-driven escalations through a centralized reviewer cockpit.
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