Abstract
Nurses, who have been on the frontlines of caring for patients and have been ruthless in their fight to protect federal health care funding, are demanding hospitals do their part. In a statement to Newsweek, Maimonides said it uses a "rigorous review process with direct input from clinicians before implementing any new technology to improve patient care, including AI." One of their main demands was for private hospitals, including Mount Sinai, Montefiore and New York-Presbyterian, to invest in safe patient care "rather than executive pay and risky speculations on artificial intelligence." This comes amid impending federal health care cuts that threaten the quality of patient care and job security for nurses and other hospital technicians in New York City by kicking millions off their health insurance and increasing health care premiums. "Meanwhile, they've implemented new technologies which directly affect patient care, again without the input of nurses." She added that nurses have to check Sofiya's work for mistakes, noting that "when hospitals try to cut corners like this on safe patient care, mistakes are made, biases are magnified and more work is often created down the line." In her testimony, Forbes asked for Mount Sinai to prioritize patients and safety over the creation of machines and technologies "that have little research to back them up." What People Are Saying City Council Member Mercedes Narcisse said in a statement: "As a proud nurse and as Chair of the Hospitals Committee of the New York City Council, I know the difference that safe staffing and real investment in patient care make. I stand firmly with the 20,000 nurses heading into contract negotiations who are fighting for safe staffing, fair wages, and the health and well-being of every New Yorker." New York State Assembly Member Phara Souffrant Forrest said in a statement: "I join my NYSNA siblings to defend health care in Brooklyn and demand that our city's hospitals protect health care and invest in patients, rather than executive pay and risky artificial intelligence."
Key Data
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Publication Date01 December 2025
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Primary AuthorLauren Giella
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SourceMSNBC Newsweek
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LanguageEnglish
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