This study evaluated whether an emotionally and interactionally adaptive real-time voice virtual patient can improve clinical communication training for resident physicians. Communication with patients in emotionally challenging situations, such as breaking bad news, requires clinicians to deliver information clearly, recognize emotional cues, respond empathically, and maintain a coherent interaction. Standardized patient training can support these skills but is resource intensive and difficult to provide repeatedly. Real-time voice virtual patients may offer scalable practice opportunities, but simple spoken interaction alone may not provide patient responses that change meaningfully according to the learner's communication.
The adaptive virtual patient used in this study was designed to update the patient's emotional tone, openness, defensiveness, and interactional style during the conversation based on the learner's communication behavior. The study compared this adaptive virtual patient training with a non-adaptive real-time voice virtual patient and with standardized patient training.
Resident physicians were randomly assigned in a 1:1:1 ratio to one of three groups: emotionally and interactionally adaptive virtual patient training, non-adaptive virtual patient training, or standardized patient training. Participants completed two communication training sessions focused on breaking bad news. After training, participants completed learner-reported measures of perceived response contingency and patient realism. Approximately four weeks later, participants completed a mini-objective structured clinical examination using a human standardized patient to assess communication performance in a delayed near-transfer setting.
The primary outcome was the total mini-OSCE communication score at four weeks. Secondary outcomes included mini-OSCE domain scores for structured delivery, emotional responsiveness, and interactional process; learner-reported response contingency and patient realism; and expert-rated behavioral consistency and clinical credibility of virtual patient interactions.