How Health Systems Are Embracing AI-Powered Staffing Tools
In Spring 2025, THMA surveyed senior clinical executives at large U.S. health systems about their workforce strategies, with a focus on how they're leveraging technology and AI to address staffing-related challenges.
To help you better understand adoption trends and perspectives across your customer base, this resource distills key insights on how health system leaders view AI-powered scheduling and staffing tools.
Data is based on responses from 39 leaders, including CPEs, CNOs/CNEs, and Medical Group executives, all representing health systems with over $1B in operating revenue.
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Key Takeaways
Low Current Adoption: Only 28% of health system leaders have implemented AI-powered scheduling/staffing tools, though 41% plan to invest.
High Perceived Value: 62% believe these tools can aid recruitment and retention, revealing a gap between belief and implementation.
Minimal Adoption Across Service Lines: Hospital medicine shows the highest adoption (20%), while most other areas are below 17%.
Clinician Support Exists: 76% of physicians and 61% of nurses are supportive of AI-powered scheduling tools, offering a trust foundation for industry partners to build on.
Strategic Opportunity: Industry partners can bridge the adoption gap by targeting high-acuity areas and aligning solutions with workforce pain points.