Oracle Health Expands Clinical AI Agent to Automate Coding, Dictation & Chart Review

The new capabilities are part of Oracle Health’s broader Clinical AI Agent architecture, which is designed to connect AI-driven workflows and share clinical context across tasks.

Oracle Health has expanded its Clinical AI Agent with new capabilities for professional fee coding, chart review, and clinician-controlled dictation.

Available in the U.S., the additions extend AI assistance beyond note generation to administrative and clinical workflows while keeping clinicians responsible for reviewing and approving outputs.

“Care teams can't afford to spend hours on documentation and administrative tasks,” said Seema Verma, Executive Vice President and General Manager, Oracle Health and Life Sciences.

“With our expanding portfolio of AI capabilities embedded directly into clinical and revenue cycle workflows, we're helping healthcare organizations operate more efficiently while enabling clinicians to stay focused on delivering high-quality care.” - Seema Verma, Executive Vice President and General Manager, Oracle Health and Life Sciences.

Oracle Health Clinical AI Agent has been developed as part of Oracle’s broader push to embed AI directly into healthcare workflows.

Earlier this year, the platform added automated order creation, allowing the system to interpret clinician-patient conversations and draft orders for medications, laboratory tests, imaging, and follow-up appointments for review and approval.

With the latest update, the Clinical AI Agent can analyze conversations during ambulatory visits and suggest professional fee charge codes within the orders workflow. Clinicians can review and confirm the recommendations before submission.

Oracle Health said the capability is intended to reduce manual coding work, limit rework, and support more consistent charge capture.

The Clinical AI Agent has also gained an AI-powered chart review capability. Instead of requiring clinicians to search through multiple parts of an electronic health record, the tool brings together relevant information such as medical history, laboratory results, medications, and other clinical details.

Another addition is clinician-controlled dictation, which allows physicians to speak directly into text fields within the clinical documentation workflow.

The agent transcribes speech in real time, after which clinicians can review, edit, and finalize the content.

Oracle describes the agents as using semantic reasoning to interpret clinical meaning and collaborate across workflows rather than operating as isolated tools.

Oracle Health said its Clinical AI Agent note-generation capability has saved physicians more than 400,000 hours across U.S. healthcare organizations since its launch nearly two years ago.

The company has also reported reductions in EHR time and after-hours documentation at some customer organizations using the platform.

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