Overview
Patient Flow is an AI-powered referral and pre-visit operations platform built on AWS that helps provider groups, specialty practices, and health systems accelerate patient access workflows through automated referral intake, payer-aware pre-authorization, scheduling coordination, and pre-visit packet assembly. Leveraging Amazon Bedrock, retrieval-augmented generation (RAG), and MCP-enabled integrations, the solution connects EHR systems, scheduling platforms, payer portals, referral channels, and operational data sources to deliver explainable, citation-backed intelligence across the patient access lifecycle.
The platform automates the labor-intensive tasks traditionally associated with front-office healthcare operations, including ingesting referrals from fax, portal, EHR, and partner systems, orchestrating pre-authorization workflows against payer policies, supporting scheduling decisions based on clinical and operational constraints, and assembling complete pre-visit documentation packets for care teams. By replacing fragmented intake and coordination workflows with a structured, auditable operational layer, Patient Flow enables clinicians and administrative staff to focus on patient care and care coordination instead of repetitive administrative processes.
Highlights
- Autonomous referral and intake orchestration. Uses AI-powered workflow automation to manage multi-source referral intake, patient triage, scheduling coordination, and pre-visit preparation workflows.
- Explainable payer-aware intelligence. Leverages Amazon Bedrock and retrieval-augmented generation (RAG) to provide transparent, citation-backed pre-authorization workflows and referral decision support aligned to payer policies.
- Operationally tuned patient access workflows. Adapts to EHR integrations, specialty intake packets, payer authorization variants, scheduling rules, and regional care-network requirements through continuously refined workflow intelligence.
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