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Healthcare AI Update 2025
What Use Cases Are Adopted the Most?
Author
Mark Allphin
Author
Tyson Blauer
Healthcare organizations increasingly view AI as an essential tool for improving performance, and they are investing in AI to streamline documentation, improve operational efficiency, and alleviate staffing challenges. Although enthusiasm is strong, most organizations are focused on automating well-defined, lower-risk workflows (e.g., ambient speech, coding support, administrative tasks) and are cautious about higher-stakes clinical applications. At the same time, healthcare leaders are developing governance frameworks and running targeted pilots to evaluate safety, oversight, and measurable ROI before broader AI deployment. This report—an update to the previous Healthcare AI 2025 report—examines how healthcare organizations are using AI, which use cases are most common, what vendors are being used and considered, and what areas organizations plan to invest in going forward. This report is intended to be a high-level look at healthcare AI use cases; to view KLAS data on AI use cases in specific areas or departments, use the links provided throughout the report. KLAS plans to conduct more specific AI research in the future.
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Key Findings:
- AI Is Used to Improve Operational Efficiency More Than to Reinvent Care Delivery
- As AI Adoption Ramps Up, Microsoft & Epic Continue to Be Most Frequently Used/Considered
- Ambient Speech Continues to Be Top AI Use Case; EHR Vendors That Are Rolling Out Competing Solutions Are Considered for Price & Integration
- Plans for AI Are Focused on Revenue Cycle & Patient Engagement Use Cases
Writer
Sarah Brown
Designer
Kath Spencer
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. © 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.