| © 2026 Freed Associates, Inc. 10 Starting with the problem rather than the solution and engaging multidisciplinary teams will be essential to realizing the promise of AI. Yet AI adoption is not without challenges. Many organizations struggle with high upfront costs, fragmented vendor tools, and uncertain ROI, making it difficult to move from pilot projects to enterprise-wide impact. Beyond financial considerations, equity and access risks are also rising. AI can unintentionally widen disparities if underserved populations lack trust in or access to digital tools, or if algorithms are trained on biased datasets that fail to represent diverse communities. Embedding equity into AI design, testing, and deployment is critical to ensuring technology benefits all populations, not just the most connected. Perhaps the most profound impact of AI will be on the workforce itself. AI is not only changing how staff are trained, it is also reshaping roles altogether. Some tasks may be automated, while others shift or expand, altering the daily work of physicians, nurses, and administrative staff. Preparing teams through reskilling, change management, and new performance models will be essential to realizing the promise of AI.
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