Case Study: DeepScribe achieves 40% faster AI updates and stronger clinician trust with Vellum

How DeepScribe Builds Clinician Trust by Iterating on AI Feedback 40% Faster

DeepScribe, a company that uses AI to automatically generate medical notes from patient conversations, faced the challenge of needing to rapidly incorporate feedback to improve their AI's precision and build trust with clinicians. They needed a solution to rigorously test and refine their AI features without disrupting their users.

Using Vellum's Workflows product, DeepScribe was able to systematically test models and refine logic efficiently. This solution enabled them to iterate on AI feedback 40% faster, leading to increased customer trust and time savings of 20-40% on project delivery. Vellum provided DeepScribe with the tools to deploy rapid and precise updates, transforming their ability to scale their AI-driven medical documentation.

DeepScribe

Katie Christiano

Solutions Consultant