The healthcare industry has largely been overlooked in discussions about the impact of artificial intelligence on various sectors of the economy. However, it is clear that a sector that accounts for nearly one-fifth of the economy cannot avoid the disruptive effects of AI, driven by efficiency and cost considerations.
To better understand the challenges and opportunities associated with the adoption of AI in healthcare, experts from diverse fields have come together to examine the primary obstacles in four key areas: incentives, management, data availability, and regulation. Their findings are presented in “The Economics of Artificial Intelligence: Health Care Challenges,” edited by Ajay Agrawal, Joshua Gans, Avi Goldfarb, and Catherine Tucker.
Despite these challenges, the contributors also highlight the potential for AI to enhance outcomes and reduce costs in healthcare. In order to shape policies that will guide the evolution of the healthcare system, it is crucial to have a thorough understanding of both the benefits and obstacles associated with AI integration into healthcare. The insights provided in this book will prove invaluable in navigating this complex landscape.
