We develop analytic solutions that transform clinical conversations into structured, measurable insights—supporting healthcare quality improvement and research.
CCQ builds infrastructure to analyze clinical encounters and extract signals related to interaction and decision processes—using transcripts generated by existing ambient documentation technologies.
We focus on measurement, not judgment. Our work is grounded in established decision-science and clinical communication literature and is designed to be:
AI scribe and ambient documentation vendors seeking to evaluate communication and decision-related signals derived from transcripts.
Provider organizations conducting aggregated analysis of clinical communication patterns across clinicians, services, or care settings.
Academic researchers and pilot partners studying clinical communication and decision-making processes in real-world settings.
CCQ is built to integrate with existing clinical documentation and AI scribe environments. Our tools are designed to complement—not replace—clinical workflows and existing health IT infrastructure.
CCQ is an early-stage healthcare analytics company led by a multidisciplinary founding team that includes a practicing clinician, health-services researchers, and health-system operators.
Together, we combine clinical insight with technical expertise to build scalable, policy-aware measurement infrastructure.