aceVoice-Enabled Virtual Patients for Interactive Training in Standardized Clinical Assessment: Mixed Methods Pilot Study
Background Training mental health clinicians to conduct standardized clinical assessments is challenging due to a lack of scalable, realistic practice opportunities. Traditional methods often fail to prepare trainees for the variability and complexity of real-world patient interactions, potentially impacting data quality in clinical trials. This paper introduces a novel approach to address this training gap using large language model (LLM)-based interview simulations. Objective This study aimed to develop and va…
In a small pilot, an LLM-driven voice simulator produced virtual patients whose MADRS scores from experienced raters landed close to their preset profiles, suggesting a scalable practice tool.
The study is a pilot proof of concept with only 5 raters and 4 virtual patient personae, so it offers initial rather than definitive evidence.
Evidence
- Peer-reviewedJournal of Medical Internet Research2026-10-02
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Truvace Impact Record TRV-2026-1376, v1: “Voice-Enabled Virtual Patients for Interactive Training in Standardized Clinical Assessment: Mixed Methods Pilot Study.” Truvace, 2026-10-14. /record/TRV-2026-1376 (accessed at citation time). sha256 0cc269b9f5f1187f…
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