AI and digital innovation bridge the gap between healthcare policy design and real-world practice. From predictive analytics and telemedicine to automated diagnostics and data-driven decision-making, these technologies reshape how care is delivered, managed, and evaluated. As governments and institutions implement policies to modernize healthcare systems, the integration of AI introduces opportunities for improved efficiency and outcomes, and challenges related to ethics, equity, and data privacy. Understanding how these innovations impact everyday use may build more responsive, accessible, and sustainable healthcare systems. AI and Digital Innovation in Healthcare Reform: From Policy to Practice explores how AI and digital technologies shape healthcare reform from policy development to practical implementation. It examines the benefits and challenges of integrating these innovations into healthcare systems, including their impact on efficiency, accessibility, ethics, and patient outcomes. This book covers topics such as social media, women's health, and medical technologies, and is a useful resource for medical and healthcare professionals, engineers, academicians, researchers, and scientists.
Sale
