How ready are health systems to deploy AI successfully?

Global health systems have achieved only 65% of key AI readiness indicators, per HIMSS’ chief scientific research officer Anne Snowdon, highlighting gaps despite recent governance and workforce advancements. Workforce development remains a critical barrier, with many systems lacking skilled personnel to implement, manage, and scale AI tools effectively in clinical and operational settings. Governance frameworks are progressing but still inconsistent, with disparities in data privacy, ethical guidelines, and regulatory compliance across regions and health institutions. Operational integration poses challenges, as legacy infrastructure and fragmented digital health records hinder seamless AI deployment in real-world healthcare environments. Strategic planning deficiencies persist, with many systems lacking clear roadmaps for AI adoption, measurable outcomes, or alignment between technological investments and patient-care priorities.