Montefiore’s AI Layoffs Put Utilization Review Nursing on the Front Line
Montefiore’s decision to lay off 12 utilization review nurses and replace them with software from Datavant has turned a contract fight into a test case for artificial intelligence in bedside-adjacent care. The move landed after nurses had already won contract language meant to require member input before new technology was introduced, making the layoffs feel less like a workflow update than a direct challenge to negotiated protections.
Utilization review is not a back-office clerical task. These nurses argue cases to insurance companies, pressing for coverage of hospital stays, lifesaving surgeries, medications, and other treatment when patients are medically complex and every approval can alter the course of care. Their work depends on years of clinical experience, the ability to read nuance in a chart, and the judgment to recognize when a rule-based system misses the reality of a sick patient with multiple comorbidities.
The dispute has an immediate bedside consequence.
When management told staff to keep working after concerns were raised about workflow changes, the department was already under strain. Then Montefiore announced the layoff plan in May, giving the affected nurses 45 days to find new positions. For the nurses involved, the change was not theoretical. Marilyn Shuler, RN, said the hospital gutted a department of veteran nurses only months after a strike secured language meant to protect positions from being outsourced to AI, and she was moved from utilization review to case management.
Clinical Judgment Versus Algorithmic Review
The central argument from the nurses is straightforward: software can process information, but it does not practice nursing. Laurel Carlin-Leclerc, RN, said years spent in utilization review gave her the ability to handle sensitive data responsibly while working from home and caring for her ill husband. She and Shuler both have more than 40 years of nursing experience, and that depth of practice shapes how they assess chart details, ask follow-up questions, and advocate when an insurance company pushes back on necessary care.
In utilization review, those details matter because a denial is rarely just administrative. A missed approval can delay a surgery, block access to a medication, or interrupt a treatment plan that has already been tailored to a patient with complicated illness. The concern among the nurses is that an untested AI program will flatten those decisions into a narrower, less responsive process and increase denials at the exact point where advocacy is most needed.
The hospital’s move also raises a broader question about what health systems are willing to automate. Charting and scheduling software can support care delivery without replacing the clinician who knows the patient. Replacing utilization review nurses, by contrast, removes the human advocate who can interpret context, pursue clarification, and press an insurer to cover care that falls outside a rigid review template.
Privacy Risks and the Stakes for a Vulnerable Patient Population
Montefiore serves a diverse and vulnerable patient population, and the nurses say that makes data protection inseparable from the staffing fight. Patients seeking coverage for major care often have to disclose sensitive medical and personal information, and they need to know who can access it, how it will be used, and what safeguards stand between that information and misuse.
Carlin-Leclerc pointed to Datavant’s partnership with Palantir and described concerns about the company’s history of data breaches. In a setting where patients already face barriers to accessing care, any breach or misuse of protected information could do more than violate privacy. It could expose patients to discrimination, harassment, or other serious harm. That concern is amplified when technology is inserted into a process that already determines whether a patient gets an approved stay, a procedure, or a medication on time.
The issue is not limited to confidentiality in the abstract. Utilization review sits at the intersection of diagnosis, coverage, and treatment timing. If an automated system is trusted to make or shape those decisions without enough clinical oversight, the downstream risk is not simply a paperwork error. It becomes delayed care, denied care, and greater friction for patients trying to navigate a system that already tends to punish complexity.
Union Resistance Has Moved Into Public and Political View
NYSNA responded by hosting a virtual town hall on July 1 that drew more than 200 members, reporters, and elected officials. New York State Senator Nathalia Fernandez and Assembly Members Karines Reyes, Jeffrey Dinowitz, and Amanda Septimo joined the call, along with New York City Council Member and Labor Chair Shirley Aldebol. Aldebol called on Montefiore to reverse the layoffs and described the use of AI as unproven technology that could compromise patient care.
The fight has also spilled into contract enforcement. NYSNA has filed a grievance on behalf of the workers and is pressing Montefiore to open positions so that no nurse is displaced. That strategy reflects how the dispute is being framed by the union: not as a narrow labor issue, but as a direct challenge to the role of clinical judgment in decisions that affect patient access.
For the nurses, the concern is not that health care should avoid technology. Both Shuler and Carlin-Leclerc said advances have a place in care delivery. Their objection is to a model in which software replaces experienced nurses instead of supporting them. In a department built on advocacy, that substitution changes the entire character of the work.
The outcome at Montefiore may echo beyond one hospital. Union nurses say the use of AI in this setting will only grow unless stronger safeguards are imposed, and they plan to keep raising the issue through media coverage, policy discussions, and coordination with elected officials. For now, the immediate test is whether a health system can replace decades of nursing judgment with software and still claim that patient care has been protected.