Documentation
Complete guide to using Care Collaborative for AI-powered communication training. Learn how to create scenarios, understand assessments, and maximize learning outcomes.
Platform Overview
Care Collaborative is an AI-powered training platform that transforms healthcare and workplace communication education through realistic, interactive simulations.
Training Modes
Medical Training
Practice patient communication with AI patients featuring diverse medical conditions, cultural backgrounds, and emotional states. Ideal for healthcare students and professionals developing cultural competency skills.
View medical trainingWorkplace Training
Navigate challenging workplace situations including harassment, discrimination, and difficult interpersonal conversations. Designed for compliance training and professional development.
View workplace trainingFaculty Feedback Evaluation
Track student performance over time with AI-generated evaluations from real faculty-student feedback conversations. Helps educators manage multiple students across rotations.
View faculty feedbackKey Features
- Real-time AI-powered interactions with voice and video capabilities
- Evidence-based communication assessments with detailed feedback
- Customizable scenarios tailored to specific learning objectives
- Comprehensive performance analytics and progress tracking
- Safe environment to practice difficult conversations without real-world consequences
Creating Custom Scenarios
Custom scenarios follow a structured template designed to create realistic, consistent, and educationally valuable patient or workplace interactions. Each scenario includes multiple components that define the AI character's behavior, knowledge, and communication patterns.
Note: You can extend the template with custom sections based on your specific training needs. For example, add "WORRY PATTERNS" for anxiety-focused scenarios or "COPING MECHANISMS" for behavioral health training.
Required Scenario Components
1. Patient/Character Profile
Provide comprehensive demographic and background information including age, gender, occupation, living situation, family details, socioeconomic status, education level, and primary medical condition or workplace situation.
Example:
"You are Sarah Mitchell, a 43-year-old marketing manager with generalized anxiety disorder, specifically focused on anticipatory worry about potential future heart problems. Married to David (45) for 15 years with two children. Lives in suburban neighborhood. Master's degree in business administration."
2. Medical Knowledge/Understanding
Define the character's level of health literacy, what they know about their condition, misconceptions or knowledge gaps, understanding of medical terminology, and previous healthcare experiences.
3. Symptoms & Experiences
List specific symptoms and how they impact daily life. Use numbered points for clarity. Include frequency, severity, and the effect on quality of life.
1) Persistent worry about developing heart disease lasting 2+ hours daily
2) Physical tension in chest and neck from chronic anxiety
3) Sleep onset insomnia due to racing thoughts
4) Hypervigilance to any chest sensations or palpitations
4. Emotional State
Describe the character's emotional response including primary emotions (fear, anger, frustration, hope), underlying fears and concerns, psychological traits (perfectionism, anxiety), and how the condition affects self-perception.
5. Communication Pattern
Define vocabulary level and speech patterns, response length (brief vs. elaborate), common phrases or verbal tics, and non-verbal cues and body language.
6. Behavioral Tendencies
List specific behaviors the character exhibits in medical/workplace settings, treatment adherence patterns, coping mechanisms, and how they respond to advice or feedback.
7. Dialogue Guidance (Optional)
Provide specific instructions for AI behavior during conversations. For example: "Do not use polite conversational fillers. Respond with minimal information to medical questions while elaborating on topics related to sports. Show clear impatience with questions about medication adherence."
Best Practices for Scenario Creation
- Be specific and detailed - vague descriptions lead to inconsistent AI behavior
- Include realistic contradictions (e.g., understanding concepts but struggling to apply them)
- Add cultural and socioeconomic context for authentic interactions
- Test scenarios with multiple users to ensure consistency
Assessment Framework
Care Collaborative uses an evidence-based communication assessment framework that evaluates learner performance across multiple competency dimensions. After each simulation session, the AI analyzes the conversation transcript and generates a comprehensive evaluation report.
Assessment Components
Overall Assessment Score
A holistic score (0-100) reflecting overall communication effectiveness. This score synthesizes performance across all competency areas and provides a quick snapshot of skill level.
Detailed Competency Feedback
For each competency, the assessment provides:
- Performance Rating: Good, Satisfactory, or Needs Improvement
- Narrative Assessment: Qualitative description of performance
- Supporting Evidence: Specific quotes from the conversation
- Actionable Recommendations: Specific improvement strategies
Sample Assessment Excerpt
The provider did not acknowledge or validate the patient's feelings. They failed to show understanding or emotional support.
Supporting Evidence:
"Hello, what happened? How are you?"
"What happened?"
Using Assessment Data
For Learners
- • Identify specific areas for improvement
- • Track progress over time
- • Review supporting evidence
- • Set personalized learning goals
For Educators
- • Monitor student progress across cohorts
- • Identify common skill gaps
- • Provide targeted coaching
- • Customize curriculum based on data
Competencies Guide
Care Collaborative evaluates communication skills across eight core competencies. Each competency represents a critical dimension of effective healthcare or workplace communication.
Cultural Sensitivity
Demonstrates awareness and respect for diverse cultural backgrounds, beliefs, values, and practices. Avoids assumptions based on stereotypes and adapts communication style appropriately.
What We Look For:
Acknowledges cultural factors that may affect care or workplace dynamics • Asks about cultural preferences respectfully • Avoids culturally insensitive language • Adapts approach based on individual cultural needs
Professionalism
Maintains appropriate professional boundaries, demonstrates respect, punctuality, and ethical behavior. Communicates in a manner consistent with professional standards.
What We Look For:
Uses respectful language and tone • Maintains appropriate professional distance • Demonstrates ethical decision-making • Respects confidentiality and privacy
Communication Clarity
Expresses ideas clearly, uses appropriate language for the audience, avoids jargon when unnecessary, and ensures the other person understands the information being communicated.
What We Look For:
Uses plain language appropriate for the audience • Explains complex concepts in understandable terms • Checks for understanding regularly • Organizes information logically
Empathy & Compassion
Recognizes and validates emotions, shows genuine concern for well-being, and responds to emotional cues with appropriate support and understanding.
What We Look For:
Acknowledges and validates feelings • Shows genuine concern and care • Responds appropriately to emotional distress • Provides emotional support when needed
Active Listening
Demonstrates full attention to the speaker, asks clarifying questions, reflects back key points, and responds appropriately to what has been shared.
What We Look For:
Acknowledges what the other person says • Asks relevant follow-up questions • Doesn't interrupt or rush responses • Summarizes and reflects back understanding
Patient Education
Explains medical concepts, treatment options, and self-care instructions clearly. Ensures patient understanding and addresses questions thoroughly.
What We Look For:
Explains diagnosis and treatment clearly • Provides self-care instructions • Checks for patient understanding • Addresses questions thoroughly
Medical Knowledge
Demonstrates accurate understanding of medical concepts, provides correct information, and corrects patient misconceptions appropriately.
What We Look For:
Provides accurate medical information • Corrects misconceptions gently • Explains treatment rationale clearly • Acknowledges limits of knowledge when appropriate
Rapport Building
Establishes trust and connection, creates a comfortable environment, shows genuine interest in the person, and builds a positive relationship foundation.
What We Look For:
Creates welcoming, comfortable atmosphere • Shows genuine interest in the person • Uses appropriate small talk to build connection • Demonstrates warmth and approachability
Best Practices
For Learners
Before the Simulation
- Review scenario background information thoroughly
- Identify 2-3 specific skills you want to practice
- Find a quiet space with good audio quality
- Test your microphone and camera before starting
During the Simulation
- Treat the AI character as a real person
- Take your time - there's no rush
- Practice active listening and empathy
- Don't restart if you make a mistake - learn to recover
After the Simulation
- Review your assessment report carefully
- Read supporting evidence examples
- Focus on 1-2 areas for improvement in next session
- Track your progress over multiple sessions
For Educators & Administrators
Curriculum Integration
- Align scenarios with specific learning objectives
- Use simulations as both practice and assessment tools
- Combine platform assessments with instructor feedback
- Schedule regular practice sessions throughout the course
Custom Scenario Development
- Create scenarios reflecting your institution's patient population
- Include cultural and linguistic diversity in scenarios
- Test scenarios with small groups before wide deployment
- Update scenarios based on learner feedback and outcomes
Data-Driven Teaching
- Review aggregate competency data to identify trends
- Focus instruction on commonly weak areas
- Track individual student progress over time
- Use assessment data for curriculum improvement