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Ambient Speech 2025
Examining Vendor Differentiators in a Rapidly Evolving Market
Over the past year, the adoption of ambient speech technology—solutions that use healthcare-specific language models to capture patient-provider encounters and contextualize them into structured notes—has surged exponentially (see below). Additionally, this technology has rapidly evolved in recent months, further enhancing provider documentation and even expanding beyond note creation. More and more, healthcare leaders are looking to ambient speech solutions to improve clinician satisfaction, documentation quality, and efficiency. This report—KLAS’ first to compare vendor performance in this high-performing space—examines how well vendors drive customer satisfaction and facilitate EHR integration; market insights around adoption and outcomes are also shared.
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Key Findings:
- Abridge’s Physician Focus Resonates with Respondents; As a Microsoft Solution, DAX Copilot Garners High Customer Optimism
- Suki Customers Appreciate Deep Integration from athenahealth & MEDITECH Partnerships; Nabla Customers Value Affordability & Patient Data Privacy, Some Await EHR Integration
- Ambience Healthcare* Praised for Applying Customer Feedback to Road Map & Sticking to Timelines; DeepScribe* Valued for High Level of Engagement
- Inefficient/Overburdened Clinicians Are Most Common Initial Users; Peer-to-Peer Promotion Is Most Effective Way to Increase Adoption
- Improved Clinician Experience & Efficiency Are the Core of High Customer Satisfaction
*Limited data
Writer
Natalie Hopkins

Designer
Jess Wallace-Simpson

Project Manager
Sydney Toomer
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.