Mental Health Assessment
Available in VR and web browser
This tool for Mental Health Assessment is designed to help learners practice their patient assessment skills.  Â
Employing end-to-end AI and technologies like large language model (LLM) and deep learning, these virtual ‘clients’ possess the ability to respond like real humans. Learners can conduct a completely organic conversation with the client, asking them about their symptoms and problems faced. Based on the client’s responses, a line of diagnosis can be established, and treatment plan formulated.  Â
The MedVR Ed XR Platform provides trainers and instructors the facility to review conversation logs and analyze learner performance based on customized rubrics. Based on the performance review, trainers will be able to provide precise and effective feedback.
- Evaluate patient’s current state of mental health by asking relevant questionsÂ
- Enquire about case history and medications, if anyÂ
- Formulate diagnostic hypotheses of patient’s state of mind based on patient’s answers to assessment questionsÂ
- Evaluate obtained information to formulate relevant differential diagnoses
- American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (5th ed.). American Psychiatric Publishing.
- Nezu, A. M., Nezu, C. M., & D’Zurilla, T. J. (2012). Problem-solving therapy: A treatment manual. Springer Publishing Company.
- Beck, A. T., & Alford, B. A. (2009). Depression: Causes and treatment (2nd ed.). University of Pennsylvania Press.
Customize Your Case
Build your own AI-Humans patient
MedVR Education is bringing to you a no-code authoring platform to create new patient cases and customized patient history. Put together your own cases by making selections from a wide range of customizing features.
- Create with web-based authoring tool
- Publish in VR, desktop, and mobile devices
- Train your virtual patient by yourself
- Select patient from a diverse background
- Choose preferred virtual environment
- Perform real-time testing
- Track and train new data
AI Patient Assessment
Natural Language Processing
Core Skills Training
Mental Health Assessment
Twenty-two-year-old Lucia Moreno has been admitted into the psychiatric unit to address severe depression. She used to see a therapist but has now stopped. She is, however, taking her medication. Lucia has not tried to harm herself but at the same time does not mind if she ‘didn’t wake up in the morning.’ She lives with her mother and has a fairly good relationship with her parents and sisters.
As a mental health professional, whether a psychiatrist, technician, or someone with a social work background, your task is to converse with the patient, enquire about additional medical conditions (if any), and formulate a diagnostic hypotheses of the patient’s mental state.
