AI-powered patient narratives for medical education — culturally diverse, clinically accurate case stories with assessment integration, faculty customization, and usage analytics. Better than standardized patients, at a fraction of the cost.
Get My Free Checklist →"Stories can offer the kind of contextual richness that promotes and nourishes empathy, prompting a provider to switch from 'How can I treat this disease?' to 'How can I help my patient?'"
"allowing comparisons between learning objectives and the patients a student has actually encountered"
"The insight into the potential of narratives is not new, but it is necessary to re-enliven it: to find ways and forms to share stories"
Generate clinically accurate patient narratives on demand — specify condition, demographics, cultural background, and complexity.
Every narrative reflects real cultural contexts — language, beliefs, social determinants, and family dynamics that shape the patient experience.
Built-in quiz generation, rubrics, and competency mapping. Track student performance against learning objectives.
Faculty can fine-tune generated cases — adjust complexity, add teaching points, or modify cultural details to match curriculum needs.
Track which cases students engage with most, where they struggle, and how narrative exposure correlates with empathy scores.
Embed directly into Canvas, Blackboard, or any LMS. SCORM-compatible with single sign-on support.
Choose condition, demographics, cultural context, and learning objectives for your case.
AI creates a rich, multi-layered patient story with clinical accuracy and cultural authenticity.
Faculty reviews, adjusts, and approves the case. Add teaching points and assessment questions.
Push to your LMS and track student engagement, performance, and empathy development.
Built by a physician trained in narrative medicine. Cases are both medically sound and stories that teach empathy.
Student data is encrypted and protected. Full compliance with educational privacy standards.
Generate 10 or 10,000 cases. No per-case fees, no scheduling, no standardized patient burnout.
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