AI clinical simulation
Medicine's most performed procedure is also its least measured.
Voice-based practice for breaking bad news, goals of care, informed consent, and other high-stakes clinical conversations. Learners speak with AI patients and receive rubric-scored feedback tied to the transcript.
In pilot at 20 or more academic medical centers and children's hospitals.
Faculty can inspect every score
- Scoring evidence
- Traceable to the transcript
- Framework alignment
- Named on every case
Faculty can review the cited transcript evidence behind each score and see which published framework the case uses.
See ClinicalSim in action
Hear a learner work through a vaccine hesitancy conversation with an AI patient, and see the rubric-scored feedback that follows.
What is ClinicalSim?
ClinicalSim gives learners voice-based practice with AI patients and gives faculty the transcript evidence behind each score.
Named physicians write and review each case. Every case names the competency and communication frameworks it uses.
Across the training continuum
- Undergraduate medical education
- Scored against AAMC Foundational Competencies
- Graduate medical education, residency and fellowship
- Scored against ACGME Milestones 2.0
- Faculty development
- Scored against Pendleton and SBI feedback frameworks
Every session produces documented feedback.
Written and reviewed by named physicians
Each case names the physician authors and reviewers responsible for its clinical and educational content.
Mapped to published frameworks
Every case names the competency and communication frameworks used for feedback.
Every score tied to transcript evidence
Every score cites the learner's words, so a faculty member can check the rating against the evidence.
All three are documented case by case on our methodology page.
Conversations you can practice
- Breaking bad news
- Goals of care
- Informed consent
- Error disclosure
- High-stakes family meetings
- Delivering a new diagnosis
- Communicating uncertainty
- Giving corrective feedback
- Professionalism conversations
- History taking
One platform. Many conversations.
One dashboard with case-specific frameworks for each learner, specialty, and task.
Evidence for CCC review
Each report maps observed behavior to the relevant milestone and cites the learner's words. A CCC can review it alongside faculty observation and the other evidence it already uses.
Private, repeatable practice
Learners practice high-stakes conversations privately, without a faculty observer in the encounter. They can repeat a case before sharing the report with a coach or program.
Built for program directors, DIOs, simulation centers, and clinical competency committees.
What clinicians are saying
I just tried it out and it was like talking to a real patient.
Faculty, Johns Hopkins University School of Medicine
It was helpful to have time to think and reflect without feeling the pressure of a person across from you expecting a response.
Clinician, Pilot Study Participant
I had to tell a patient's father that his daughter would need long-term oxygen support through a tracheostomy. Before speaking with him, I practiced the conversation on ClinicalSim. It gave me confidence and feedback on my tone and delivery. Having difficult conversations can be extremely stressful, but having the practice beforehand allowed me to give appropriate time for silence and empathy.
Nurse practitioner, Advocate Health
Give learners practice before the conversation is real
Tell us which learners and conversations matter most in your program. We will show you what one pilot cycle could look like.
Have questions first? Read the FAQ