Tired and Fatigued
Available in VR and web browser
This tool for assessing a patient who is feeling tired and fatigued is designed to help learners practice their patient assessment skills.
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.
The MedVR Ed XR Platform provides trainers and instructors with 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.
- Identifying and interpreting symptoms of fatigue, sleep patterns, and mood disturbances
- Practice eliciting a detailed psychosocial history
- Assessing the impact of fatigue and other symptoms on the patient’s daily functioning
- Differentiating symptoms of medical conditions that can cause fatigue
- Dunphy, L. M., Winland-Brown, J. E., Porter, B. O., & Thomas, D. J. (2022). Primary Care: The Art and Science of Advanced Practice Nursing – an Interprofessional Approach (6th ed.). F.A. Davis Company.
- Jameson, J. L., Fauci, A. S., Kasper, D. L., Hauser, S. L., Longo, D. L., & Loscalzo, J. (2022). Harrison’s Principles of Internal Medicine (21st ed.). McGraw-Hill Education.
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
Case History
Tired and Fatigued
Megan O’Sullivan is 39-years-old. Lately, she has been feeling very tired and fatigued. She does not remember ever feeling like this and cannot identify what makes the symptoms better or worse. Her symptoms started around three months back. Since then she has lost her appetite and has lost 10lb unintentionally. She has noticed that she does not enjoy spending time with friends anymore, something she was fond of doing earlier. Megan has never been diagnosed for mental health issues. Your task, as a healthcare practitioner, is to conduct an assessment of the patient’s symptoms and formulate a diagnostic hypothesis.
