Artificial intelligence and health care waste—Promise or peril?

Artificial intelligence and health care waste—Promise or peril?
JAMA Health Forum; by William H. Shrank, Suhas Gondi, David J. Brailer; 6/25
One obvious target of AI [artificial intelligence] tools in health care is the reduction of waste. While LLM [large language model] applications to health care are still nascent—many still make errors, and more rigorous evaluations are needed—most agree that the long-term opportunity for AI in health care is tremendous. A recent study estimated that widespread adoption of AI could lead to savings of 5% to 10% of total US health care spending. Realizing even a fraction of this potential would increase the affordability of care for people in the US and free substantial societal resources to make other valuable investments. But getting there will require deliberate choices from leaders and policymakers and careful attention to risks that could set back progress.