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OrchestrateXR and ChartFlow add AI patient chats to educational EHR

9 hours ago
By AI, Created 14:00 UTC, Sep 30, 2026, AGP -

OrchestrateXR and ChartFlow on Sept. 30, 2026 announced a partnership that embeds live AI patient conversations inside ChartFlow’s educational EHR. The integration lets students practice chart review, patient communication, and documentation in one workflow, with automated feedback returned inside the record.

Why it matters: - The partnership collapses three steps of simulation into one workflow: review the chart, talk to the patient, and document the encounter. - Nursing, allied health, and simulation programs can give students more realistic practice without adding separate tools for charting and patient communication. - The integration is designed to help students build communication and clinical reasoning skills in a setting that mirrors clinical practice.

What happened: - OrchestrateXR and ChartFlow announced a partnership on Sept. 30, 2026. - The deal brings OrchestrateXR Conversations directly into ChartFlow’s educational EHR. - Students can launch a live conversation with an AI patient from within a patient chart and then return to the record to document what they learned. - Conversations is available now to ChartFlow customers. - Institutions can buy Conversations hours through ChartFlow. - Programs already using both platforms can connect their existing OrchestrateXR account. - ChartFlow directs customers to contact sales@chartflow.io to add Conversations.

The details: - The AI patient is built from the ChartFlow chart itself. - The chart’s history, medications, and presenting concerns shape how the patient responds. - That setup is meant to keep the conversation aligned with what students read in the chart. - After the conversation ends, OrchestrateXR’s personalized, automated feedback appears inside ChartFlow alongside the chart. - The feedback focuses on communication and clinical reasoning. - OrchestrateXR says Conversations is meant to put learners in realistic, unscripted encounters with AI-driven standardized patients. - OrchestrateXR says its Experiences product adds 360-degree video training for procedural and environmental scenarios. - Both OrchestrateXR products are no-code, run in a browser, on iPad, or in VR, and integrate with any SCORM-compliant LMS. - ChartFlow says its educational EHR is built for simulation, nursing, allied health, medical assisting, and career and technical education programs. - ChartFlow says its Real-Time Simulation Control Panel lets educators change scenarios on the fly. - ChartFlow says more than 95 pre-built patient scenarios support teaching across simulation, clinical, and classroom settings. - ChartFlow says its mission is to accelerate practice readiness with tools that are accessible and affordable for every discipline. - OrchestrateXR helps nursing and healthcare programs scale clinical simulation.

Between the lines: - The partnership reflects a push to make simulation feel less like a separate exercise and more like a complete clinical encounter. - By tying the AI patient to the chart already in use, both platforms reduce the setup burden that often slows simulation programs. - Rob Moore said the setup removes the need to write a new case or book a standardized patient. - Daniel Shporin said the combined workflow gives students a self-guided simulation that mirrors clinical practice. - Christine M. Thomas of George Washington University School of Nursing said the integration helps students bridge classroom learning and clinical practice while practicing assessment, communication, documentation, and decision-making.

What's next: - ChartFlow customers can begin using Conversations now. - Programs that already use both platforms can connect existing OrchestrateXR accounts. - Interested institutions can add the product through ChartFlow’s sales team. - OrchestrateXR and ChartFlow are positioning the integration as a broader tool for practice readiness and scalable simulation.

Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.

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