Huixin Teaching
A virtual teaching and assessment platform for medical students and residents, connecting case training, course management, and evaluation into a unified learning loop.
Pain Points & Solutions
Have you run into these problems?
Starting from teaching pain points, we connect virtual training with course-management capabilities.
Too few chances for clinical practice
Medical students lack contact with real patients, and theory is disconnected from practice
AI virtual-patient simulation
Immersive case interaction, training the full workflow from history-taking to diagnosis
Teaching outcomes are hard to assess
Traditional exams measure knowledge only and struggle to assess clinical reasoning
Multidimensional AI scoring
Comprehensive evaluation of diagnostic logic, communication, and decision quality
Scattered teaching resources
Slides, cases, and videos sit on different platforms and are hard to manage together
A unified AI resource center
One-stop management of courses, cases, and AI-assisted teaching content
Core Capabilities
Core capabilities
Centered on teaching goals, unifying case training, course design, assessment, and interactive instruction.
Virtual patients
Realistic case simulation and an immersive learning experience
- Case library
- Symptom simulation
- Interactive dialogue
- Diagnostic training
Course management
A flexible curriculum and personalized learning paths
- Course design
- Learning progress
- Resource management
- Online learning
Assessment
Multidimensional evaluation of learning outcomes
- Online exams
- Skills assessment
- Score analysis
- Certificate management
Live teaching
Real-time interactive teaching, unconstrained by time and place
- Live classroom
- Interactive Q&A
- Recorded replay
- Material sharing
Technical Highlights
Technical highlights
AI-driven virtual patients and intelligent assessment, shaping a new teaching paradigm.
Socratic AI tutor
The AI does not give answers directly; it trains clinical reasoning through guided questions
7-dimension learner profile
Multidimensional evaluation of knowledge, skills, attitude, decision speed, and more, pinpointing weak spots
Exam-to-analysis loop
From examination to AI analysis and feedback, then to targeted training, forming a learning loop