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But we saved everything 🙂.
Administrative processes continue to weigh heavily on the U.S. health care system. In a recent post, Mark Cuban remarked that significant portions of doctors' time—up to 25 percent—are spent managing the demands of large healthcare conglomerates. According to Cuban, these organizations increase both the complexity and cost of care for physicians and patients alike. He further commented on the potential role of artificial intelligence as a tool for easing this administrative friction, suggesting that AI could serve as a future agent to streamline interactions and reduce burdens. Cuban's statements add to ongoing conversations about efficiency and affordability in U.S. health services.
Cuban has previously raised the possibility that leading AI models, such as Anthropic, could help address complex challenges in healthcare by reverse engineering key issues. In a separate discussion, he questioned whether U.S. malpractice insurance rates might vary under digital healthcare models. His recent comments add to ongoing debates about cost drivers in the sector.