Body Interact now fully supports open-ended, AI-driven patient communication. A major advancement that brings natural, human-like patient communication into the simulation experience.

Using voice recognition or text input, students can now speak or type freely, exactly as they would in a real clinical encounter. The virtual patient’s responses adapt dynamically to both the conversation and the scenario’s evolving physiology.

Why Natural Communication Matters in Healthcare Education

Many healthcare educators are concerned that students are entering the workforce with less confidence in spontaneous, professional communication. In real clinical encounters, communication is clinical care.

History-taking, rapport building, explanation, clarification, and closure all shape the quality of the encounter. They influence what information is gathered, how quickly concerns are recognized, and how safely decisions are made.

Communication Assessment Grounded in Established Frameworks

The new Communication Assessment in Body Interact is structured around the frameworks most widely used in healthcare education: the Calgary-Cambridge Guide, the SEGUE Framework, and the Kalamazoo Consensus Statement.

AI-Generated Analysis Domains

An AI-generated analysis evaluates student performance across four domains:

• Initiating the Encounter and Establishing Rapport
• Information Gathering
• Information Giving and Explanations
• Closing the Encounter

Each domain surfaces specific communication behaviors. Not just whether the student asked the right questions, but how they asked them and how they responded to what the patient said.

In EMS scenarios, Body Interact evaluates coverage of SAMPLE and OPQRST rather than the traditional history-taking structure. This keeps the communication assessment aligned with the protocols EMS providers are expected to follow in practice.

Availability and Technical Requirements

AI-Driven Conversations are available in beta from April 22, 2026, across all Body Interact clinical scenarios on Web, Windows, and Mac.

The update is currently optimized for English and Spanish, supporting more natural interactions across two of the most widely used languages in our Community.

A stable internet access is required. Support for Android, iOS, and additional languages will follow soon.

See What This Can Add to Your Program

By combining voice recognition, natural conversation, real-time physiological response, and scenario-specific communication assessment, AI-Driven Conversations adds a powerful new dimension to Body Interact.

See how Body Interact can support your communication training and clinical reasoning development.