A simulation lab for psychiatric conversations
TMind AI gives psychiatry learners a safe, repeatable way to practice patient interviews, mental status exams, risk assessment conversations, medication counseling, and treatment planning with AI-simulated patients.
Simulation-based training for essential psychiatry residency competencies
Scenario Example
A 28-year-old patient presents with low mood, insomnia, poor concentration, and increasing isolation. The learner must establish rapport, explore symptoms, assess functioning, and gather information for a mental status exam.
Skills Evaluated
- Establishing rapport
- Symptoms checking
- Transitioning smoothly from open-ended questions to targeted structured screening
- Accurate classification of thought process and affect
Establishing rapport
Scenario Example
A 45-year-old individual going with worsening depression says, 'Sometimes I wonder if people would be better off without me.' The learner must respond calmly, ask direct risk questions, assess protective factors, and discuss next steps.
Skills Evaluated
- Direct inquiry and elicitation
- Evaluating risk and protective factors
- Means restriction
- Safety planning and intervention
- Risk formulation
Scenario Example
A 31-year-old patient diagnosed with Generalized Anxiety Disorder (GAD) is hesitant to start an SSRI (Sertraline) because they read horror stories online about severe weight gain, emotional numbing, and permanent side effects.
Skills Evaluated
- Validating patient fears regarding medication side effects instead of dismissing them
- Explaining onset delay and temporary vs. long-term side effects
- Establishing a clear collaborative plan for health monitoring
Scenario Example
A 19-year-old college student is brought in by family due to a sudden onset of extreme irritability, rapid, pressured speech, and decreased need for sleep.
Skills Evaluated
- Systematically ruling out conditions to settle on a psychiatric diagnosis
- Screening for medical mimics
- Differentiating between various medical conditions
Scenario Example
A patient arrives highly suspicious, speaking rapidly, and becoming increasingly agitated when asked about hospitalization.
Skills Evaluated
- Managing patient escalation verbally
- Maintaining a calm, non-threatening, low-arousal tone
- Avoiding defensive arguments, logical debates, or challenging the patient's anger
- Offering clear, realistic, face-saving choices to de-escalate the immediate physical threat
Scenario Example
A 68-year-old post-operative patient becomes confused overnight, pulls at IV lines, and insists the nurses are poisoning their medication. The medical team requests a psychiatry consult to evaluate agitation, delirium, and decision-making capacity.
Skills Evaluated
- Assessing delirium and medical contributors to behavioral changes
- Gathering collateral from the medical team and chart
- Evaluating decision-making capacity
- Communicating clear recommendations to the primary team
Practice the cases that
keep you up at night
Observation-based learning is limited by case availability, supervisor bandwidth, and feedback timing. AI Simulation removes those constraints.
| Training Dimension | Traditional / Observation-Based | TMind AI Simulation |
|---|---|---|
| Access to complex cases | Depends on case mix; can't be requested | ✓ Select any scenario, any time |
| Repetition & deliberate practice | Rarely possible — same patient, once | ✓ Unlimited reps across variations |
| Feedback timing | Days later, from memory | ✓ Immediate structured debrief |
| Patient risk | Real patient; errors have consequences | ✓ Low risk — fully simulated |
| Crisis scenario preparation | Unpredictable, high-stakes, infrequent | ✓ Structured, repeatable drills |
| Progress tracking | Supervisor subjective observation | ✓ Data-driven milestone tracking |
| Scheduling flexibility | Tied to clinic hours and supervision availability | ✓ On-demand, 24/7 |
AI Simulation Lab
Improving learner outcomes while decreasing faculty workload
Realistic AI-Simulated Patients
Create unique patients with detailed psychiatric presentations, psychosocial histories, cultural contexts, medication concerns, and emotional responses.
Text & Voice Practice
Let learners practice through typed dialogue or voice-based conversations to build both clinical reasoning and live communication confidence.
Instant Feedback
Give learners structured feedback on empathy, reflection, risk exploration, diagnostic reasoning, professionalism, and treatment communication.
Instructor Review & Comments
Review transcripts, leave comments, highlight missed opportunities, and guide learners the way you would in supervision.
Custom Evaluation Rubrics
Build rubrics aligned with your program's learning objectives, competencies, or course modules.
Repeatable Practice
Assign the same scenario to your entire cohort while still allowing each learner's conversation to unfold differently.
Assess the skills that matter
in psychiatry
Client was unsure how to manage the prescribed medication and asked about side effects, warning signs, and follow-up steps.
Reviewed dosage timing, medication purpose, allergy precautions, and when to contact the care team.
Evaluation Reports
TMind AI helps faculty evaluate not only what students say, but how they communicate, educate, prioritize, and respond under pressure.
Google-Docs Style Transcript Comments
Every session generates a shareable transcript that supervisors/instructors can annotate directly, pinning comments to the exact line of dialogue where a teaching moment occurred.
Share with view-only or editor access, just like Google Docs. No scheduling a debrief just to give feedback.
Custom Scoring Rubrics
Evaluate what matters most for your residents. Move beyond simple 'correct' or incorrect answers to measure alliance building, clinical reasoning, and risk management.
The Learning Cycle
Scenario Design
Choose from our library or build a custom patient profile with specific clinical traits.
Assign
Send scenarios to a cohort of students or residents with a single click.
Complete
Learners interact with the AI patient through text or voice.
Review
Instructors provide feedback on performance rubrics.
Repeat
Learners can repeat scenarios, practice higher-difficulty versions, and track improvement across competencies.
Frequently Asked Questions
Can faculty customize the patient scenario?
Can instructors review what the learner said during a session?
Is this a replacement for standardized patients or clinical supervision?
Can TMind AI provide diagnoses or clinical recommendations?
Can the same case be assigned to an entire cohort?
How does TMind AI evaluate psychiatry student performance?
What psychiatry simulation should I start with?
Practice your first case
Explore how TMind AI can support psychiatry training, build clinical judgment, and prepare you for your first real client.