Communication intelligence for healthcare
Clinicians, learners, and patient facing staff practice spoken conversations with AI patients. ClinicalSim scores each simulation against a published clinical framework or your institution's own standard and quotes the participant's words behind every score. Participants see what they did well and what to practice next, while leaders can see patterns across a cohort or unit. Residency, fellowship, and medical school programs use the same tool for competency assessment and OSCE practice.
More than 25 academic medical centers and children's hospitals are piloting ClinicalSim.
A learner talks a hesitant parent through a two-month vaccine visit. The report then scores the conversation and quotes the lines that earned each score.
Your standard becomes a clear guide for feedback and practice.
A service model, consent policy, disclosure policy, debrief framework, or rubric. We review which elements a spoken conversation can show before anyone records a word.
Choose a group and a conversation where more consistent communication would help. Each person talks through the case with an AI patient by voice, from any device, with no observer in the room.
The report shows strengths and areas for focused practice, with the participants' words behind every score. The same cases give people another chance to practice, and formative scores stay out of personnel files.
What one health system learned
In one health system pilot, participants consistently opened conversations well. The report identified three elements to reinforce at the close: thanking the patient for raising a concern, reflecting the concern back, and summarizing the plan. Leaders could see those patterns in the transcripts and use the same cases for focused practice.
Bring the policy, service model, script, or rubric your institution already teaches. ClinicalSim scores the conversation element by element, as you wrote it.
Policy, service model, script, or rubric
We review which elements a spoken conversation can show before the assessment begins.
Start with a case built on a named, published framework that health care or medical education already uses.
Either way, every score quotes the participant's own words, so participants and faculty can inspect the feedback.
Conversations ready to measure today
ClinicalSim turns practice in consent, disclosure, debriefing, and patient service into feedback for each participant and measurable patterns for leaders. Each simulation uses your own service standard or policy, with the participant's words behind every score.
Learners get repeatable practice between scheduled SP encounters. Faculty get rubric-scored feedback with the transcript behind every score, so they can inspect any case rather than trust a number.
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, major health system
