CASE PREVIEW09 / 100
Simulated patient
DIAGNOSIS & CLINICAL REASONING
Acute Dyspnea
Elena Brooks · Age 37
Focused historyPretest probabilityUrgent planning
AI-POWERED CLINICAL SIMULATION
Practice the conversation.
Reflect on the care.
Realistic patient conversations. Purposeful practice. Feedback that helps physicians and trainees reflect on how they communicate, reason, and care.
Explore this overview without an account or microphone.
Built for medical education
AI-powered clinical simulation · Structured feedback · Learner development
Simulated patient
Practice. Reflect. Improve.A learning cycle, not just a conversation.
100Published patient cases
Natural voiceConversational patient encounters
Structured feedbackCase-specific assessment & reflection
Instructor toolsAssignments, rosters & custom cases
THE LEARNING EXPERIENCE
A clear path from practice to reflection.
EncounterLab connects a focused clinical scenario with a realistic conversation and a structured opportunity to learn from it.
Practice with purpose.
Choose a case, review the patient briefing, and speak naturally with an AI standardized patient. Each encounter has its own context and learning objectives.
Clinical reasoning + communicationReflect with feedback.
End the encounter to receive case-specific rubric scores, narrative feedback, and a spoken summary highlighting strengths and opportunities to improve.
Assessment + individualized feedbackReturn with a plan.
Review your encounter history and performance trends. Use the feedback to focus your next practice session or guide a conversation with a faculty mentor.
Repeat practice + progress trackingINSIDE ENCOUNTERLAB
Explore the actual platform.
These application screens are available to view here without a login, microphone, or live AI connection.
THE ENCOUNTER LIBRARY
A PURPOSE FOR EVERY ENCOUNTER
More than a chatbot.
A case-based learning experience.
Patient context, learner tasks, and case-specific assessment give each conversation an educational purpose.
FEATURED CASE · ENCOUNTER 9
Acute Dyspnea
Evaluate possible pulmonary embolism using focused history, VTE risk assessment, pretest probability, and urgent diagnostic planning.
ENCOUNTER 9 BRIEFING
INDIVIDUAL PRACTICE. EDUCATIONAL WORKFLOWS.
Built for learners and the people who teach them.
Practice on your schedule.
Browse cases across clinical reasoning, communication, patient experience, behavioral health, and systems-based practice. Return to your feedback and encounter history as you continue learning.
Enter the learner appConnect practice to your curriculum.
Use the instructor portal to manage learner rosters, assign cases, create custom scenarios, and organize clinical simulation exam packages. Existing account and access requirements apply.
Open the instructor portalDesigned for educational practice.
Patient cases are fictional. Do not enter real patient information. EncounterLab is not a tool for patient diagnosis or treatment. Automated feedback supports reflection; it does not replace faculty judgment or establish a validated high-stakes assessment.
DESIGNED FOR MEDICAL EDUCATION
From clinical scenarios
to deliberate practice.
EncounterLab brings case design, conversational AI, structured assessment, and learner progress into one medical education experience.
An independent medical education platform.
A CLOSER LOOK, ON YOUR TERMS
Take the overview with you.
Read a two-page introduction with platform screens and a summary of the learning experience.
Download overview (PDF) Contact: admin@encounterlab.orgExperience EncounterLab.
Browse the library freely. Sign in when you are ready to practice.