Some health systems believe they should wait for generative AI to mature before making major investments. Meanwhile, AI developers warn that late adopters could be left behind as the tech rapidly advances.
Some health systems believe they should wait for generative AI to mature before making major investments. Meanwhile, AI developers warn that late adopters could be left behind as the tech rapidly advances.
Based on facts, either observed and verified firsthand by the reporter, or reported and verified from knowledgeable sources.
In the health care industry, generative AI is growing savvier by the day. But despite the tech’s rapid advancement—or because of it—some health care organizations are still deploying with caution.
Hundreds of health systems and clinics across the United States have started infusing AI into their workflows, though many of them are taking it slow, executive leaders told Newsweek in recent conversations. For example, they might pilot a generative AI tool in one department or focus group, then gather feedback and make tweaks before rolling it out to an entire specialty or provider group.
Tensions are building as tech companies urge health systems to keep pace with AI’s rapid evolution—while health systems continue to pull back on the reins. As health care organizations evaluate their options, many are pondering a few key questions: Is it better to act now or wait for the next best thing? Is
Health Systems’ New AI Dilemma: Bet Now, or Wait for Better?
