Based on recent findings from KLAS Research's comprehensive industry report, healthcare AI adoption is accelerating rapidly, transforming everything from clinical decision support to operational efficiency. Organizations balancing financial constraints and workforce limitations need to understand whether they're keeping pace with industry trends.
Note that acute care organizations are most heavily represented in the information below. For research findings on AI adoption in the home-based care sector, see “2025 AI Opportunities in Home-Based Care.”
Why it Matters
Most organizations are still early in developing their AI strategy, but implementation is expanding quickly. Those falling behind risk missing significant operational efficiencies and clinical improvements that early adopters are beginning to realize.
By the Numbers
- 56% of large acute care organizations use AI solutions
- 54% of organizations are considering AI solutions in the future
- 256 healthcare professionals interviewed provided insights on current adoption and future plans
Where Adoption is Strongest
Healthcare organizations are prioritizing AI implementation in these key areas:
- Administrative/operational efficiency (50 respondents) - Most widely reported use case, especially for documentation and workflow automation
- Clinical applications (37 respondents) - Ambient speech documentation tools and clinical AI assistants gaining significant traction
- Imaging (24 respondents) - Continues to be a strong focus area for AI, particularly in radiology
Who's leading the way
Not all organizations are advancing at the same pace:
- Large acute care organizations (100% of executives report using AI) lead implementation with more resources and infrastructure
- Ambulatory care organizations are frontrunners in ambient speech technology adoption
- Most organizations are taking a departmental approach to AI rather than enterprise-wide implementation
Looking Ahead
Investment in AI will continue to grow, with organizations focusing on:
- Radiology solutions for diagnostic support
- Administrative and financial capabilities to optimize revenue cycle management
- AI-driven chatbots and virtual assistants to enhance patient engagement
The Bottom Line
Organizations succeeding with AI implementation are establishing strong governance structures that balance innovation with regulatory compliance while leveraging established partners across healthcare operations.
Data and findings sourced from KLAS Research report "Healthcare AI 2025: Are You Keeping Pace with Industry Adoption?" based on interviews with 256 healthcare professionals in January 2025.
Check out Forcura’s AI Authority resource center to learn more about AI in the home-based care sector.
