This white paper presents HITLAB’s heuristic evaluation of Sayvant, an AI-powered ambient clinical documentation
platform designed for acute care environments. Sayvant aims to reduce documentation burden, cognitive load, and workflow friction by transforming real-time clinical conversations into structured, high-quality medical notes while preserving clinician control.

Using Jakob Nielsen’s Ten Usability Heuristics, HITLAB conducted a comprehensive review of Sayvant across key workflows, including chart creation, documentation, review, and data management. The evaluation assessed
system visibility, interaction flow, efficiency, error prevention, and support for real-world clinical use in fast-paced emergency and urgent care settings.

HITLAB’s heuristic evaluation plays a key role in this process by systematically identifying areas for improvement based on established usability principles and real-world clinical needs.

Overall, Sayvant streamlines acute-care workflows by reducing cognitive and administrative burden while standardizing care delivery across teams. With 50,000+ clinician hours saved, a 40% reduction in discharge delays, 30,000+ shifts completed, and adoption across 70 live sites in just nine months, the platform delivers context- aware, real-time guidance and integrated documentation that helps clinicians make faster, safer, and more consistent decisions—ensuring patients receive the right care at the right time. HITLAB’s findings indicate that Sayvant demonstrates strong usability foundations, particularly in workflow alignment, efficiency of use, and clinician empowerment. The platform effectively supports ambient documentation, reduces reliance on retrospective charting, and enables clinicians to focus more fully on patient care. Targeted opportunities for refinement were identified to further strengthen system clarity, error recovery, and onboarding as the platform scales.