Artificial Intelligence Could Increase the Number of Healthcare Workers in the US
Dr. Dhruv Khullar from Weill Cornell Medicine states that artificial intelligence could grow the clinical workforce by lowering costs and increasing demand.
In an article published in The New England Journal of Medicine, Weill Cornell Medicine researcher Dr. Dhruv Khullar argued that artificial intelligence might lead to an expansion rather than a reduction in the U.S. clinical workforce over time.
The Role of Artificial Intelligence in the Healthcare Sector
The rapid adoption of artificial intelligence tools in healthcare brings concerns that they might reduce employment by replacing certain clinical tasks. There are worries about job losses, particularly in fields such as radiology, primary care, and psychiatry.
Economic Theory and Historical Data
Associate Professor Dr. Dhruv Khullar from Weill Cornell Medicine stated, based on economic theory and the history of technology, that artificial intelligence could support the growth of the clinical workforce in the long run.
Jevons Paradox and Efficiency
Dr. Khullar emphasized that examples such as cataract surgery and joint replacement serve as instances of Jevons paradox, where increased efficiency raises service utilization and demand.
The Lump-of-Labor Fallacy and New Treatment Pathways
Stating that expectations of AI-related job losses stem from the 'lump-of-labor' fallacy, the researcher conveyed that technology changes the amount of work over time by creating new treatment methods.
Human Oversight and O-Ring Theory
Recalling that medical practice consists of many interconnected steps, Dr. Khullar noted that human oversight will continue to hold critical importance for safety and reliability.