ClinicalSim
ClinicalSim provides AI-driven clinical communication simulations that let clinicians, staff, and trainees practice spoken conversations with virtual patients in a browser. Each session generates a formative score linked to the participant's own words, highlighting strengths and pinpointing specific skills to practice next, while leaders can aggregate transcript data to identify cohort-wide patterns. The platform is currently piloted in 29 academic medical centers and children's hospitals.
- Healthcare Technology
- Education Technology
- AI Agents
- Artificial Intelligence
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Healthcare teams often lack sufficient opportunities to practice difficult patient conversations, such as vaccine hesitancy counseling or end-of-life discussions, in a low-stakes setting. Traditional standardized patient programs are resource-intensive and difficult to scale, leaving many clinicians with limited formative feedback on their communication skills.
Solution
ClinicalSim provides an AI-driven clinical communication simulation platform where clinicians, staff, and trainees practice out loud with virtual patients in a browser on a phone, tablet, or computer. Each simulated encounter is scored against a named standard, such as the SEGUE Framework or an institution's own rubric, and every score is linked to the participant's own words in the transcript. Participants receive a detailed report showing what went well and what to practice next, with the ability to review the full recording and transcript. Program leaders can aggregate anonymized cohort data to identify patterns across a unit or team and plan focused practice rounds. The platform is designed as an extension of standardized patient programs, not a replacement, and all output is formative, staying out of personnel files.
Target Audience
Primary customers are academic medical centers, children's hospitals, and health systems seeking to train clinicians, trainees, and staff in communication skills, as well as educators and program directors who oversee communication training curricula.
Features
- Browser-based spoken practice with AI patients, requiring no special hardware or real patient records
- Automated scoring against published frameworks (e.g., SEGUE) or institution-specific rubrics, with transcript excerpts under each score
- Individual feedback reports that include strengths, areas for practice, full transcript, and audio recording
- Leadership dashboard for reviewing cohort patterns, including anonymized unit-level reports and transcript-level analysis
- Case library covering communication priorities such as vaccine hesitancy counseling, with the ability to build custom cases from institutional standards
- Formative-only output explicitly excluded from employment, credentialing, or other high-stakes decisions