Health systems worldwide are grappling with rising costs, workforce shortages, and increasing consumer demands for digital capabilities such as telemedicine. Despite recognizing the need for digital and AI transformation to enhance care quality and reduce costs, many health system executives report insufficient investment in these Investments in digital and AI technologies, including machine learning and deep learning, could save the healthcare sector between $200 billion and $360 billion. However, achieving these savings requires health systems to address budget limitations, modernize outdated infrastructure, and adopt new operating models. Successful digital transformation involves leveraging cloud-based platforms, optimizing clinical workflows, and building partnerships to scale operations. Despite challenges, health systems that invest wisely in digital and AI capabilities can drive substantial value, improving patient outcomes, operational efficiency, and workforce retention. By overcoming barriers to digital investment, health systems can position themselves to capture significant financial and operational benefits.
