04/21/2026
From a recent article by The Commonwealth Fund:
"One of the central challenges of introducing artificial intelligence (AI) to any industry is that its promise and peril are so entwined. The tools that automate routine tasks, such as scheduling appointments or writing code, can reduce drudgery and boost productivity but also eliminate jobs. Algorithms that interpret images and enhance diagnostic accuracy can erode clinicians’ skills. Meanwhile, the data centers powering breakthroughs in disease treatment deplete fresh water and drive up electricity use, causing environmental harm particularly to the communities nearest them.
This dichotomy is mirrored in divisions between people who believe AI can make any industry faster, cheaper, and more efficient, and those who focus on AI’s potential to discriminate and amplify harm. In sectors where jobs can be easily automated, the rosier view of AI tends to prevail. But in health care — where the consequences of AI’s missteps are high, and human expertise can’t be readily replaced — organizations are compelled to strike a balance between innovation and caution."
Read the article at:
This issue of Transforming Care looks at how employees of health care systems are working to make AI useful while also mitigating the risk of harm to patients.