AI Virtual Patients
Simulate patient age, personality, disease state and emotion for open communication practice.
Immersive Doctor-Patient Communication Training
Use AI virtual patients, scenario dialogue, emotion response and review scoring to train clinical communication, bad-news delivery, informed consent, risk explanation and conflict handling.
At a Glance
| Dimension | Summary |
|---|---|
| Intended users | Medical humanities courses, residency communication training and hospital education |
| Training or delivery workflow | Scenario briefing → role-based conversation → communication review → faculty feedback and repeat practice |
| Scope to confirm | Communication scenarios, role scripts, feedback criteria and faculty review |
Communication Training
Make communication observable, repeatable and assessable
The system turns complex clinical communication into scenarios, tasks, dialogue cues and evaluation criteria for medical humanities and residency training.
- Outpatient, inpatient, preoperative, examination and follow-up communication
- Bad-news delivery, informed consent, complaints and conflict response
- AI patients adjust emotions and reactions based on learner expression
- Reports cover empathy, clarity, risk explanation and communication closure
Modules
Communication training modules
Configure routine communication, difficult conversations and assessment stations.
High-pressure Scenarios
Train bad-news delivery, emergency communication, cost explanation, complaints and family discussion.
Communication Scoring
Evaluate listening, empathy, explanation, confirmation and risk communication.
Build communication training
Contact Yujie Medical for medical humanities, residency and hospital training scenarios.