# ClinicalSim.ai > Voice-based AI clinical simulation platform to practice and measure clinical communication at every stage of a medical career — undergraduate medical education, residency and fellowship, communication remediation, and faculty development. Mapped to ACGME ICS Milestones 2.0. Built by simulation directors and communication researchers. ## Pages - [Homepage](https://clinicalsim.ai): Overview of ClinicalSim.ai — voice-based AI clinical simulation to practice the conversations that matter most across the medical-education continuum. Rubric-scored practice mapped to ACGME ICS Milestones 2.0 with milestone-aligned documentation. - [About](https://clinicalsim.ai/about): Why communication is the hardest competency to teach, train, and measure — and how structured, repeatable practice changes that. Built by leaders in simulation and clinical communication. ## Use Cases - [Use Cases](https://clinicalsim.ai/solutions): One platform for clinical communication across remediation, a longitudinal residency and fellowship curriculum, undergraduate medical education, and faculty development. - [Communication Remediation](https://clinicalsim.ai/solutions/remediation): AI clinical simulation for communication remediation. Milestone-mapped practice and CCC-ready documentation for the learner on a remediation plan. - [Residency & Fellowship](https://clinicalsim.ai/solutions/longitudinal-curriculum): A longitudinal communication curriculum for residency and fellowship. Cases progress across PGY years, mapped to ACGME ICS Milestones 2.0 and EPAs. - [Undergraduate Medical Education](https://clinicalsim.ai/solutions/undergraduate-medical-education): Sequence communication practice across all four years of medical school — from history-taking to delivering a new diagnosis — with a dashboard that follows students through clerkships. - [Faculty Development](https://clinicalsim.ai/solutions/faculty-development): Attendings and clinician educators practice the conversations they're expected to model — giving feedback, professionalism concerns, and bedside teaching — with the same rubric-scored simulation. ## Who We Serve - [Who We Serve](https://clinicalsim.ai/audiences): The stakeholders across the training continuum that ClinicalSim serves. - [Program Directors](https://clinicalsim.ai/audiences/program-directors): The remediation toolkit you told CERA you wanted. - [DIOs & GME Leadership](https://clinicalsim.ai/audiences/dios-gme-leadership): Standardize remediation infrastructure across every program. - [Simulation Center Directors](https://clinicalsim.ai/audiences/simulation-center-directors): Extend your SP program, don't replace it. - [Clinical Competency Committees](https://clinicalsim.ai/audiences/clinical-competency-committees): Milestone-aligned data for every learner review. - [Medical School & UME Leadership](https://clinicalsim.ai/audiences/medical-school-leadership): Sequence communication across all four years. - [Faculty & Clinician Educators](https://clinicalsim.ai/audiences/faculty-clinician-educators): Practice the conversations faculty are expected to model. ## More - [Practice Conversations](https://clinicalsim.ai/practice): Free AI simulation to practice difficult conversations firsthand, with milestone-aligned feedback mapped to ACGME ICS Milestones 2.0. - [Research Collaboration](https://clinicalsim.ai/research): Apply to collaborate on research in clinical communication, simulation-based education, and competency assessment. - [Insights](https://clinicalsim.ai/insights): Research and evidence on medical communication training, simulation technology, and clinical conversation outcomes. ## Compare - [Compare](https://clinicalsim.ai/compare): Neutral, side-by-side comparisons of clinical communication training approaches. - [AI Clinical Simulation vs. Standardized Patients](https://clinicalsim.ai/compare/ai-clinical-simulation-vs-standardized-patients): How AI clinical simulation and standardized patients (SPs) compare across cost, scalability, availability, standardization, scheduling, and scoring — and where each fits in a communication-training program. - [Voice-Based vs. Text-Based Virtual Patient Simulation](https://clinicalsim.ai/compare/voice-vs-text-virtual-patient-simulation): How voice-based and text-based virtual patient simulation compare for clinical communication training — realism, skills assessed, accessibility, and where each format fits. ## Glossary - [Glossary](https://clinicalsim.ai/glossary): Clear, sourced definitions of key medical-education and clinical-simulation terms — competency-based medical education (CBME), EPAs, ACGME Milestones, Clinical Competency Committees, OSCEs, standardized patients, deliberate practice, and remediation. ## Insights - [Six of 105: Why End-of-Life Communication Training Has a Measurement Problem](https://clinicalsim.ai/insights/eol-communication-training-measurement-gap): A systematic review of 105 studies found only 6 with clear training objectives — none sharing the same outcomes. A pediatric intensivist and palliative care physician explains what this means for fellows learning to navigate the hardest conversations in medicine. - [Breaking Bad News Is a Practice Problem, Not a Knowledge Problem](https://clinicalsim.ai/insights/breaking-bad-news-practice-not-knowledge): Residents who score well on written exams still freeze in real conversations. Only 17.6% of residents report formal training in breaking bad news, and the gap isn't knowledge, it's comfort. Communication skills improve through repetition and feedback in realistic scenarios, not lectures. - [What Programs Lost When Step 2 CS Disappeared, and What Hasn't Replaced It](https://clinicalsim.ai/insights/what-programs-lost-when-step-2-cs-disappeared): USMLE Step 2 CS was permanently discontinued in 2021. Five years later, residency programs still have no standardized way to assess communication skills. Milestones 2.0 raised the bar, but gave programs no new tools to meet it. - [The Faculty Hour Problem with Communication Remediation, and Why It Doesn't Scale](https://clinicalsim.ai/insights/faculty-hour-problem-communication-remediation): 93% of residency programs face remediation, and communication is the hardest competency to fix. Each case consumes 25-75 faculty hours. Programs build their approach from scratch every time. The math doesn't work. - [When Affirming Care Training Disappears, Simulation Has to Fill the Gap](https://clinicalsim.ai/insights/ai-affirming-care-communication-training): A new AI simulation approach presented at IPSS Rome tackles the growing gap in transgender communication training for pediatric residents, where 60% of programs lack direct clinical exposure. - [How to Design Effective OSCE Cases: A Practical Guide for Medical Educators](https://clinicalsim.ai/insights/osce-case-design-guide): Proven strategies for creating OSCE cases that assess clinical competence. Practical frameworks, common pitfalls, and validation methods. - [The ROI of Communication Training: By the Numbers](https://clinicalsim.ai/insights/hospital-communication-training-roi): The business case for communication training is clear: reduced malpractice risk, improved HCAHPS scores, and better outcomes. - [Where Medical Simulation Is Headed in 2026](https://clinicalsim.ai/insights/healthcare-simulation-technology-trends): From VR to AI voice agents, medical simulation technology is evolving rapidly. Heres what matters for 2026. - [What Medical Learners Actually Want from AI Standardized Patients](https://clinicalsim.ai/insights/what-learners-want-from-ai-sps): New CHI 2026 research reveals six key requirements for AI-SP design—straight from the medical students who would use them. - [End-of-Life Conversations: Practice Makes Progress](https://clinicalsim.ai/insights/end-of-life-care-communication): EOL conversations are low-frequency, high-stakes events. Traditional training models cant provide the practice clinicians need. - [Breaking Bad News: The Skill No One Teaches](https://clinicalsim.ai/insights/breaking-bad-news-medical-training): Breaking bad news is a core clinical skill — yet most clinicians have never practiced it before doing it for real. - [The Scalability Problem with Standardized Patient Programs](https://clinicalsim.ai/insights/scalability-problem-sp-programs): Traditional SP encounters cost $150-300 each and can't scale to meet demand. Why AI augments — rather than replaces — existing simulation programs. - [Why Communication Training Matters](https://clinicalsim.ai/insights/why-communication-training-matters): Communication failures are the leading driver of malpractice claims, yet most clinicians receive minimal structured training. The gap between what's at stake and how we prepare is wider than most realize. - [Privacy Policy](https://clinicalsim.ai/privacy): Privacy policy covering data collection, cookies, online advertising opt-out, and user rights.