AI in health care

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Health Care AI Is Exposing an Age-Old Problem: How Work Actually Gets Done

With at least 71 percent of U.S. hospitals integrating predictive AI into their electronic health records, the debate over whether AI belongs in health care is becoming outdated. Now, health system leaders tell Newsweek that AI is here to stay. But they're still figuring out how to make longstanding workflows, processes and job descriptions jibe with the new tech. AI in all forms—agentic, generative, predictive—still requires human oversight and sign-off in a high-stakes industry like health care. How does the "human in the loop" keep pace when AI is changing not only the tools they use but the work they're expected to do? Read More on Health Care Say an algorithm can identify that a patient is becoming septic before the signs are obvious. Someone still needs to decide what to do with that warning. Or say AI can help a primary care doctor manage conditions that once required a specialist. The technology may increase capacity, but it cannot create a nephrologist where there isn't one. Those questions will be part of the conversation at Newsweek and Investment Reports' AI Health Summit on September 23 in New York City, where hospital executives and health tech leaders will discuss AI deployment...