Preparing for AI Transformation: Measuring Readiness in Health Systems
As healthcare organizations explore the transformative potential of artificial intelligence to improve patient care, enthusiasm for AI-driven solutions is at an all-time high. However, simply investing in AI is not enough. True AI readiness goes beyond implementation—it requires a strategic foundation encompassing robust infrastructure, governance, change management, and a culture of continuous learning. Without these essential elements, even the most advanced AI systems may fail to deliver long-term impact. To ensure AI’s scalability and sustainability, health systems must do more than adopt innovative technology. They need the right frameworks, policies, and workforce capabilities to support AI-driven decision-making. By focusing on these factors, organizations can unlock AI’s full potential, enhancing operational efficiency, improving patient outcomes, and building a more resilient healthcare ecosystem. What Does It Mean to Be AI-Ready? AI readiness is not just about acq...