Healthcare AI Data Science Solutions 2025
04 March 25
| Benjamin Cassity and 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.