Clinical Communication Platform

Abstract

Effective clinical communication is central to patient outcomes, yet nearly 50% of medical malpractice claims cite communication failures as a contributing factor. Current training relies on expensive, unscalable actor-based simulations that are cost-prohibitive. There is a critical need for an automated, data-driven coaching tool that provides objective, ongoing feedback on real patient interactions to reduce medical errors and physician burnout.

MedComAI is a coaching platform that analyzes recorded clinical encounters to deliver objective communication feedback. The multi-stage AI pipeline employs PyAnnote 3.1 for speaker diarization, Whisper for high-fidelity transcription, and OpenSMILE with eGeMAPS for clinical acoustic biomarker extraction. A LangGraph-orchestrated supervisor–worker architecture drives seven parallel AI analysis agents grounded in the VR-CoDES and Kalamazoo clinical frameworks. The system is designed to run locally on-device or within secure clinical HPC infrastructure, ensuring maximum patient data privacy while delivering rapid, automated feedback.

The MedComAI prototype achieves a Word Error Rate (WER) and Diarization Error Rate (DER) below 12% on clinical dialogue benchmarks. Processing time for a standard 15-minute encounter has been reduced to under 45 seconds on high-performance infrastructure, meeting the <60-second design specification. A fully functional UI and software platform displays comprehensive analysis of dialogue metrics, emotional timelines, and clinical coaching trends, providing clinicians with actionable, structured feedback immediately following interactions.

MedComAI replaces costly simulations with automated, objective analysis integrated into clinical workflows. Developed according to industry best practices with a focus on quality and design controls, the platform enables standardized communication assessment for medical education. It offers a scalable solution for professional development, facilitating hospital-wide deployment to enhance clinical outcomes and reduce physician burnout.

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