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About The Course:

This patient assessment tool for a case of Diabetes 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 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:
  • Gather patient’s health information by applying clinical expertise, skills, and experience
  • Develop diagnostic hypothesis by drawing upon clinical experience, understanding of pathophysiology, and the collected health history data
  • Examine the health history data to create appropriate differential diagnoses
Reference:
  • “Clinical Diabetes: Translating Research into Practice” by American Diabetes Association
  • “Diabetes Mellitus: Diagnosis and Treatment” by Thomas Ransom and Barry J. Goldstein
  • “Joslin’s Diabetes Mellitus” by C. Ronald Kahn, Gordon C. Weir, and George L. King

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

Diabetes Assessment

Shyanne is 34 years old and suffering from frequent vaginal yeast infections for over a year. She has noticed that her water intake has gone up significantly since she is often feeling thirsty during the day. This results in frequent visits to the washroom. Shyanne has always struggled with her weight and has put on more weight in the past couple of years.
As a primary care clinician, your job is to ask the patient relevant questions regarding their symptoms, assess the information shared by the patient and diagnose the cause of discomfort.

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Diabetes Assessment

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