Health Catalyst explains that successful AI adoption in healthcare depends less on the technology itself and more on data quality, workflow integration, governance, and organizational readiness. Many AI initiatives fail because healthcare organizations attempt to deploy models without first establishing trusted, accessible, and actionable data foundations. The article emphasizes that AI must be embedded into clinical and operational workflows in ways that support decision-making rather than add complexity. Key success factors include aligning AI initiatives with measurable business and patient outcomes, ensuring explainability and clinician trust, integrating AI directly into existing systems like EHRs, and prioritizing change management and user adoption. Health Catalyst also stresses the

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