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Sayvant 2025
Automating Clinical Documentation with AI to Reduce Physician Burden
Author
Greg Hughes
Author
Drew Partridge
Healthcare organizations often struggle with manual documentation, scribe costs, provider burnout, and reduced patient interaction time. Existing solutions don’t always address the complex, real-time, and specialty-specific needs of acute care settings. Sayvant aims to solve these challenges by using ambient AI-driven scribing and clinical decision support to streamline documentation, improve billing and patient communication, and reduce cognitive workload. This report examines the real-world experiences and outcomes of healthcare organizations and clinicians using Sayvant.
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Key Findings:
- Sayvant Customer Experience: An Initial Look
- Points to Ponder
- Sayvant: Company Profile at a Glance
Project Manager
Kyle Chilton
This material is copyrighted. Any organization gaining unauthorized access to this report will be liable to compensate KLAS for the full retail price. Please see the KLAS DATA USE POLICY for information regarding use of this report. © 2025 KLAS Research, LLC. All Rights Reserved. NOTE: Performance scores may change significantly when including newly interviewed provider organizations, especially when added to a smaller sample size like in emerging markets with a small number of live clients. The findings presented are not meant to be conclusive data for an entire client base.