Commure Launches AI-Native Orchestrator Platform to Automate Referral Management and Patient Intake

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The platform streamlines referral management by moving referrals through a single automated workflow.

Commure has announced the general availability of Commure Orchestrator, an AI-native referral management and patient intake platform designed to automate the pre-visit process and address referral leakage across healthcare organizations.

The platform streamlines referral management by moving referrals through a single automated workflow. It can ingest unstructured referral data, extract structured clinical and payer information, validate referrals against organizational rules, coordinate tasks through a unified dashboard, and write accepted referrals directly into electronic health record (EHR) systems.

"Every referral that doesn't convert is a patient who fell through the cracks and revenue that never shows up in the books," said Dan Warner, President of Commure. "Orchestrator automates the entire pre-visit workflow so neither of those things has to happen."

Commure said the platform is designed to support multiple care settings, including inpatient, outpatient, post-acute, home health, hospice, and specialty care. According to the company, Orchestrator is already deployed across home health and ambulatory health systems, where it is processing hundreds of thousands of referral-related tasks autonomously.

For organizations looking to automate the complete referral-to-visit process, Orchestrator integrates with Commure's AI-powered Call Center Agents to schedule appointments after referrals are accepted. It also connects with Digital Intake agents that assist patients with consent forms, pre-visit documentation, and insurance information before appointments.

The platform is built on Commure's unified data model, allowing it to connect with the company's Ambient AI clinical workflow tools and revenue cycle management (RCM) solutions to support care coordination across the patient journey.

Commure said Orchestrator is designed to address several operational challenges commonly associated with referral management. These include reducing referral leakage through automated outreach and real-time referral queues, improving time-to-care with automated referral triage and provider matching, minimizing authorization delays through payer verification and prior authorization tracking, digitizing patient intake by sending structured data directly into EHRs, and consolidating multiple referral and intake tools into a single platform.

The company said the launch reflects increasing demand for AI-driven automation that reduces administrative workload while improving referral conversion and patient access to care.

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