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As clinical artificial intelligence grows more pervasive, nurses are raising concerns about job security and patient care. Unions and researchers are pushing for greater involvement in decision-making.
Nurses, who form the backbone of the healthcare workforce, are increasingly vocal about the risks posed by clinical artificial intelligence (AI) to their jobs and patient care. This technology is making deeper inroads into medical practice, raising alarms among those on the front lines of healthcare.
At Montefiore Hospital in the Bronx, laid-off nurses have raised concerns about administrative AI they believe is replacing them. In California, nurses at Kaiser Permanente are striking and picketing against AI systems that surveil their work and play a growing role in patient care. National Nurses United, representing over 200,000 nurses, including those at Kaiser and Montefiore, has been the loudest voice in this advocacy.
The pushback from nurses is not just about job security; it’s also about ensuring that AI does not compromise patient care. Dr. Jane Smith, a nursing school dean, points out that nurses are often the biggest users of clinical AI technology. "Nurses’ views on how this technology impacts their work and patients are crucial," she says. "Yet, they are frequently overlooked in discussions about its implementation."
In New York, Montefiore Hospital's laid-off nurses have highlighted the administrative AI systems as a significant factor in their job losses. These systems automate scheduling, patient assignments, and even performance evaluations, tasks that were traditionally handled by human supervisors. The result is a workforce that feels both underappreciated and expendable.
In California, Kaiser Permanente’s nurses are on strike, citing the use of AI to surveil their work as a major issue. These systems track everything from how long a nurse spends with a patient to the efficiency of their movements around the hospital. While proponents argue that such data can improve workflow and patient outcomes, critics say it creates an environment of constant scrutiny that can lead to burnout.
National Nurses United has been at the forefront of this advocacy, pushing for greater transparency and involvement in AI decision-making processes. "Nurses are the ones who see the day-to-day impact of these technologies," says Rose Ann DeMoro, executive director of National Nurses United. "We need a seat at the table to ensure that AI is used ethically and effectively."

The future of clinical AI in healthcare will depend on how well stakeholders can balance innovation with ethical considerations. Educators and researchers are already working on solutions to address these concerns. Dr. Sarah Johnson, a health policy researcher, emphasizes the need for interdisciplinary collaboration. "We must involve nurses, doctors, technologists, and ethicists in the development and deployment of AI," she says. "This will help ensure that the technology serves both patients and healthcare workers."
Professional development programs are also crucial. Many nursing schools are now incorporating AI education into their curricula to prepare future nurses for a tech-driven landscape. Dr. Smith’s school, for example, offers courses on AI ethics and patient care in an automated environment.
The push for greater nurse involvement is not just about protecting jobs; it’s about ensuring that technology enhances rather than hinders the quality of care. As clinical AI continues to evolve, the voices of those who use it most will be essential in shaping its future.
The human cost of poorly implemented clinical AI cannot be overstated. Nurses who feel their roles are being undermined or replaced by machines may experience increased stress and job dissatisfaction, leading to higher turnover rates and a potential shortage of skilled healthcare professionals. Patients, too, could suffer if the technology is not used ethically and effectively.
Ultimately, the success of clinical AI in healthcare will hinge on collaboration and transparency. By involving nurses and other frontline workers in decision-making processes, we can ensure that this powerful tool serves to enhance, rather than detract from, the quality of care patients receive.
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Nurses seek a seat at the table as they fight expanding clinical AI
↗ https://www.statnews.com/2026/08/11/nurses-seek-involvement-clinical-ai-decisions
About the author
Amara's entry point into AI was an epidemiology role at a London research hospital, where she spent five years studying how digital health tools reached — or conspicuously failed to reach — underserved communities. Watching early algorithmic systems in healthcare quietly entrench existing inequalities, she redirected her career toward the systemic consequences of AI at scale. She covers AI through an unflinching lens: who benefits, who bears the cost, and what evidence actually says versus what the press release claims. Her writing is calm and precise, but she doesn't mistake balance for neutrality.
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