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Healthcare AI Data Science Solutions 2025
Which Vendors Are Partnering with Customers to Deepen Adoption & Drive Outcomes?
Author
Benjamin Cassity
Author
Jennifer Hickenlooper
Author
Tyson Blauer
Artificial intelligence (AI) capabilities are rapidly evolving, and healthcare organizations are trying not to fall behind in the rush of progress. Many look to their data science vendors—either third party or EHR-specific—for guidance on how to deepen AI adoption and achieve greater outcomes. In this market, vendors do not directly compete, as customers use their solutions in unique ways. Based on feedback from healthcare and payer organizations, this report—an update to KLAS’ Healthcare AI 2024 report—shares how customers are using machine learning (ML) models within their data science solutions, what outcomes they are achieving, and how well their vendors are partnering to help them drive success.
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Key Findings:
- ClosedLoop Sees Most Use Cases & Highest Customer Satisfaction Thanks to Strong Partnership
- N1 Health* Customers Value Partnership, Some Unsure of Long-Term Plans
- Epic Customers Achieve Wide Variety of Outcomes, Want More Strategic Guidance
- Some Oracle Health* Customers Achieve Outcomes Despite Lack of Vendor Partnership
*Limited data
Writer
Natalie Hopkins
Designer
Kath Spencer
Project Manager
Andrew Wright
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.