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Suki ROI Validations 2026
Cross-Organizational Results from Suki’s Clinical Intelligence Platform
Author
Mac Boyter
Author
Sidnee Wood
Author
Tyson Blauer
Three large health systems—FMOL Health, McLeod Health, and Rush University System for Health—set out to adopt an ambient speech technology solution that would (1) significantly reduce their clinicians’ documentation burden and (2) generate measurable operational and financial impact. To accomplish this, they deployed Suki, an AI-powered clinical intelligence platform that streamlines clinical note creation and supports accurate coding within existing EHR workflows in their ambulatory care settings. All three organizations experienced reduced documentation burden, greater time savings, and improved E/M coding, which have led to improved efficiency and clear financial gain. Additional benefits include improved provider satisfaction, enhanced patient care, and improved patient satisfaction. This report examines outcomes achieved and lessons learned by the three participating organizations.
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Writer
Carlisa Cramer
Designer
Nikki Christensen
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. © 2026 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.