Raising Health Ambience CEO Nikhil Buduma on AI in Clinical Workflows
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Feb 20, 2026 
Nikhil Buduma, CEO and co‑founder of Ambience Healthcare and former Stanford‑affiliated researcher, applies deep learning to clinical workflows. He discusses running a medical practice before building a platform. Short takes cover Transformer adoption, EHR integration and decision traces, clinician adoption at academic centers, and AI-driven virtual care teams and ROI for health systems.
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Two-Tier Provider Market
- Clinical complexity splits market adoption: mid-market is easier to serve while large academic centers require deep customization.
- Ambience achieves 75%+ clinician daily use at some academic centers because it handles that complexity.
AI Clock Speed Vs Product Clock Speed
- AI improves fast but product and clinical integration move slower; the "floor is lava" requires teams to build for future capabilities.
- Success needs cleaned EHR context, decision traces, quality definitions, and rapid clinical learning loops.
Prioritize Data And Decision Traces
- Solve messy EHR context and preserve decision traces before layering intelligence on top.
- Build groomed data layers and explicit quality metrics to make models reliable in clinical settings.