Warfarin Patient
Available in VR and web browser
This tool for assessing a Warfarin Patient 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.
- Educating the patient on warfarin’s role in preventing blood clots after heart valve replacement
- Identifying the appropriate INR target range and testing frequency
- Discussing important drug-drug and food-drug interactions while on warfarin
- Identifying signs of abnormal bleeding and clotting and counselling patient on management
- Educating the patient on what to do for missed doses
- Evaluating the use of the teach-back method
- Warfarin. Lexi-Drugs. UpToDate Lexidrug. UpToDate Inc. Accessed April 30, 2025. http://online.lexi.com/
- Warfarin. Drugs, Herbs, and Supplements. MedlinePlus. Last updated June 15, 2017. Accessed April 30, 2025. https://medlineplus.gov/druginfo/meds/a682277.html
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
Assessing a Warfarin Patient
Esmeralda Santiago is a 58-year-old female and she is at the Outpatient Anticoagulation Clinic for routine warfarin (Coumadin) management following a heart procedure two months ago. She reports good adherence, with no missed doses, and her INR today is 2.1. She takes over-the-counter supplements including ginger tea, turmeric, and occasional ibuprofen, and has recently adopted a diet rich in leafy greens via green smoothies. She is unsure of her warfarin dose but takes “peach” tablets and has 25 left from a refill 17 days ago. Your task is to assess Esmeralda’s adherence, identify potential interactions or factors affecting INR stability, and address her concerns about long-term warfarin use. Use the information gathered to guide clinical decisions and provide the patient appropriate education and support.
