This scenario is powered by AI-based patient conversation. Learn More

MedVR
down arrow
About The Course:

This tool for assessing a patient suffering from chest pain during activities 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.

Learning Objectives:
  • Conducting a thorough assessment of cardiovascular symptoms
  • Eliciting a detailed patient history, focusing on cardiovascular risk factors
  • Differentiating between cardiac and non-cardiac causes of chest discomfort
Reference:
  • 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

Chest Discomfort with Activity

Seventy -year-old Richard Adams is experiencing chest pain and breathlessness during physical exertion, especially during his morning walks. Each episode lasts up to a few minutes. The symptoms started six months ago and have worsened progressively, limiting his ability to exercise. He also experiences cold sweats and light-headedness during his episodes of chest pain.
Your task, as a healthcare practitioner, is to conduct an assessment of the patient’s symptoms and formulate a diagnostic hypothesis.

Try Now

Patient Assessment - Chest Discomfort with Activity

Enter your details and click Try Now.