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Suki Assistant 2024
Improving Clinician Well-Being and Efficiencies through Ambient Speech AI Technology
Author
Mac Boyter
Author
Braden Taylor
The recent rise of generative AI in clinical documentation has led many healthcare organizations to look at ambient speech products to decrease non-clinical work and burnout for physicians. Suki leverages machine learning and large language models to power their solution’s voice-enabled, fully automated generative AI. The Suki Assistant solution generates clinical notes in real time and provides capabilities such as audibility features and code suggestions. This report examines the experience and satisfaction of Suki customers, including healthcare leaders and physician users.
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Key Findings:
- Suki Assistant Customer Experience: An Initial Look
- Points to Ponder
- Suki: 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. © 2024 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.