PRESS-NEWS.org - Press Release Distribution
PRESS RELEASES DISTRIBUTION

AI could help emergency rooms predict admissions, driving more timely, effective care

2025-08-11
(Press-News.org) New York, NY [August 11, 2025]— Artificial intelligence (AI) can help emergency department (ED) teams better anticipate which patients will need hospital admission, hours earlier than is currently possible, according to a multi-hospital study by the Mount Sinai Health System.

By giving clinicians advance notice, this approach may enhance patient care and the patient experience, reduce overcrowding and “boarding” (when a patient is admitted but remains in the ED because no bed is available), and enable hospitals to direct resources where they’re needed most. Among the largest prospective evaluations of AI in the emergency setting to date, the study published in the July 9 online issue of the journal Mayo Clinic Proceedings: Digital Health [https://doi.org/10.1016/j.mcpdig.2025.100249].

In the study, researchers collaborated with more than 500 ED nurses across the seven-hospital Health System. Together, they evaluated a machine learning model trained on data from more than 1 million past patient visits. Over two months, they compared AI-generated predictions with nurses’ triage assessments to see whether AI could help identify likely hospital admissions sooner after the patient arrives.

“Emergency department overcrowding and boarding have become a national crisis, affecting everything from patient outcomes to financial performance. Industries like airlines and hotels use bookings to forecast demand and plan. In the ED, we don’t have reservations. Could you imagine airlines and hotels without reservations, solely forecasting and planning from historical trends? Welcome to health care,” says lead author Jonathan Nover, MBA, RN, Vice President of Nursing and Emergency Services, Mount Sinai Health System. “Our goal was to see if AI combined with input from our nurses, could help hasten admission planning, a reservation of sorts. We developed a tool to forecast admissions needs before an order is placed, offering insights that could fundamentally improve how hospitals manage patient flow, leading to better outcomes.”

The study, involving nearly 50,000 patient visits across Mount Sinai’s urban and suburban hospitals, showed that the AI model performed reliably across these diverse hospital settings. Surprisingly, the researchers found that combining human and machine predictions did not significantly boost accuracy, indicating that the AI system alone was a strong predictor.

“We wanted to design a model that doesn’t just perform well in theory but can actually support decision-making on the front lines of care,” says co-corresponding senior author Eyal Klang, MD, Chief of Generative AI in the Windreich Department of Artificial Intelligence and Human Health at the Icahn School of Medicine at Mount Sinai. “By training the algorithm on more than a million patient visits, we aimed to capture meaningful patterns that could help anticipate admissions earlier than traditional methods. The strength of this approach is its ability to turn complex data into timely, actionable insights for clinical teams—freeing them up to focus less on logistics and more on delivering the personal, compassionate care that only humans can provide.”

While the study was limited to one health system over a two-month period, the team hopes the findings will serve as a springboard for future live clinical testing. The next phase involves implementing the AI model into real-time workflows and measuring outcomes such as reduced boarding times, improved patient flow, and operational efficiency.

“We were encouraged to see that AI could stand on its own in making complex predictions. But just as important, this study highlights the vital role of our nurses—more than 500 participated directly—demonstrating how human expertise and machine learning can work hand in hand to reimagine care delivery,” says co-corresponding senior author Robbie Freeman, DNP, RN, NE-BC3, Chief Digital Transformation Officer at Mount Sinai Health System. “This tool isn’t about replacing clinicians; it’s about supporting them. By predicting admissions earlier, we can give care teams the time they need to plan, coordinate, and ultimately provide better, more compassionate care. It’s inspiring to see AI emerge not as a futuristic idea, but as a practical, real-world solution shaped by the people delivering care every day.”

The paper is titled “Comparing Machine Learning and Nurse Predictions for Hospital Admissions in a Multisite Emergency Care System.”

The study’s authors, as listed in the journal, are Jonathan Nover, MBA, RN; Matthew Bai, MD; Prem Tismina; Ganesh Raut; Dhavalkumar Patel; Girish N Nadkarni, MD, MPH; Benjamin S. Abella, MD, MPhil; Eyal Klang, MD, and Robert Freeman, DNP, RN, NE-BC3.

This work was supported in part through the computational and data resources and staff expertise provided by Scientific Computing and Data at the Icahn School of Medicine at Mount Sinai and supported by the Clinical and Translational Science Awards (CTSA) grant UL1TR004419 from the National Center for Advancing Translational Sciences. The research was also supported by the Office of Research Infrastructure of the National Institutes of Health under award number S10OD026880 and S10OD030463.

-####-

About the Mount Sinai Health System

Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with 48,000 employees working across seven hospitals, more than 400 outpatient practices, more than 600 research and clinical labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time—discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it.

Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients’ medical and emotional needs at the center of all treatment. The Health System includes approximately 9,000 primary and specialty care physicians and 11 free-standing joint-venture centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida. Hospitals within the System are consistently ranked by Newsweek’s® “The World’s Best Smart Hospitals, Best in State Hospitals, World Best Hospitals and Best Specialty Hospitals” and by U.S. News & World Report's® “Best Hospitals” and “Best Children’s Hospitals.” The Mount Sinai Hospital is on the U.S. News & World Report® “Best Hospitals” Honor Roll for 2025-2026.

For more information, visit https://www.mountsinai.org or find Mount Sinai on Facebook, Instagram, LinkedIn, X, and YouTube.

 

 

 

 

END



ELSE PRESS RELEASES FROM THIS DATE:

Is writing with AI at work undermining your credibility?

2025-08-11
With over 75% of professionals using AI in their daily work, writing and editing messages with tools like ChatGPT, Gemini, Copilot or Claude has become a commonplace practice. While generative AI tools are seen to make writing easier, are they effective for communicating between managers and employees? A new study of 1,100 professionals reveals a critical paradox in workplace communications: AI tools can make managers’ emails more professional, but regular use can undermine trust between them ...

Parasitic worms evolved to suppress neurons in skin

2025-08-11
New research, published in The Journal of Immunology, discovered that a parasitic worm suppresses neurons in the skin to evade detection. The researchers suggest that the worm likely evolved this mechanism to enhance its own survival, and that the discovery of the molecules responsible for the suppression could aid in the development of new painkillers. Schistosomiasis is a parasitic infection caused by helminths, a type of worm. Infection occurs during contact with infested water through activities like ...

Stalking, obtaining restraining order linked with increased cardiovascular disease risk in women

2025-08-11
Embargoed for release: Monday, August 11, 5:00 AM ET Key points: In a 20-year study, women with experience being stalked had a 41% higher risk of cardiovascular disease (CVD) than women without this experience. Women with experience obtaining a restraining order—typically indicative of severe violence—had a 70% higher risk of CVD than women without that experience. Prior studies have not looked at the relationship between women’s experiences with stalking and CVD outcomes, and few have investigated the link between physical health outcomes and psychological violence commonly faced by women. According to ...

Women who have been stalked may have a higher risk of heart disease, stroke

2025-08-11
Research Highlights: Women who reported being stalked by a current/former partner or other persons were more likely to develop heart disease and stroke during 20 years of follow-up than those who did not report those events. Among women who obtained a restraining order for protection, their risk of developing cardiovascular disease was significantly higher than women who had not requested a restraining order. The link between stalking and cardiovascular disease may be due to psychological distress, which may disrupt the nervous system, impair proper blood vessel function ...

Milestone for medical research: New method enables comprehensive identification of omega fatty acids

2025-08-11
Omega-3 fatty acids are known to be an essential part of a healthy diet. As humans cannot produce them, they have to be consumed in sufficient amounts. However, omega-6, -7, -9, and -10 fatty acids also play important roles in the metabolism of fats. These numbers indicate the position of the first double bond in a fatty acid chain. Deviations in the omega position can signal enzyme malfunctions or pathological metabolic processes, such as those occurring in cancer. Now, researchers at the University of Graz and the University of California, San Diego present in Nature Communications a novel, effective method to determine omega positions of lipids – the scientific ...

Strategically bringing back beavers could support healthy and climate-resilient watersheds

2025-08-11
In brief: Ponds created by beaver dams can help increase freshwater storage, boost biodiversity, contain wildfires, and improve water quality. Beaver populations in North America have fallen from an estimated 60-400 million before European colonization to roughly 10-15 million today because of extensive hunting, habitat degradation, and trapping. Better maps could help watershed managers prioritize areas for beaver reintroduction that would maximize benefits while highlighting trade-offs for water users. After enduring centuries of hunting, habitat loss, and disease, North American beavers (Castor canadensis) are ...

The cerebral cortex ages less than thought

2025-08-11
The human brain ages less than thought and in layers – at least in the area of the cerebral cortex responsible for the sense of touch. Researchers at DZNE, the University of Magdeburg, and the Hertie Institute for Clinical Brain Research at the University of Tübingen come to this conclusion based on brain scans of young and older adults in addition to studies in mice. Their findings, published in the journal “Nature Neuroscience”, also provide new insights into how the ability to process sensory information changes with age. The human cerebral cortex ...

Neurodegenerative diseases: What if the key lies in the mitochondria?

2025-08-11
Mitochondria, the tiny organelles without which our bodies would be deprived of energy, are gradually revealing their mysteries. In a new study published in Nature Neuroscience, researchers from Inserm and the University of Bordeaux at the NeuroCentre Magendie, in collaboration with researchers from the Université de Moncton in Canada, have for the first time succeeded in establishing a causal link between mitochondrial dysfunction and the cognitive symptoms associated with neurodegenerative diseases. Thanks to the creation of a specific and unprecedented tool, they succeeded in increasing mitochondrial activity ...

Researchers discover tantalisingly ‘sneaky’ way to help diners make healthier, greener menu choices

2025-08-11
Pioneering research has uncovered a cunning way to curry favour with diners’ food choices, so they’re more likely to select meals which have a much lower carbon footprint and reduced fat content. The study, led by the University of Bristol in the UK and published today in the journal Nature Food, showed the carbon footprint of canteen diners’ weekly meal choices dropped overall by around a third – and saturated fat levels also significantly fell – when selecting from a cleverly reshuffled weekly ...

Conditional cash transfers significantly reduce AIDS incidence and mortality among brazil’s most vulnerable women

2025-08-11
The world's largest conditional cash transfer programme, the Bolsa Família Programme (BFP), is associated with a substantial reduction in AIDS cases and deaths, especially among brown and black women with lower income and limited education. This was the main conclusion of a study coordinated by the Barcelona Institute for Global Health (ISGlobal), a centre supported by ”la Caixa” Foundation, in collaboration with the National Institute of Allergy and Infectious Diseases (NAIDS/NIH). The ...

LAST 30 PRESS RELEASES:

Long-term anticoagulation discontinuation after catheter ablation for atrial fibrillation

Fractional flow reserve–guided complete vs culprit-only revascularization in non–ST-elevation myocardial infarction and multivessel disease

Participation of women in cardiovascular trials from 2017 to 2023

Semaglutide and tirzepatide in patients with heart failure with preserved ejection fraction

Changes in biology of internal fat may be the leading cause of heart failure

Transcatheter or surgical treatment of patients with aortic stenosis at low to intermediate risk

Promising new drug for people with stubborn high blood pressure

One shot of RSV vaccine effective against hospitalization in older adults for two seasons

Bivalent RSV prefusion F protein–based vaccine for preventing cardiovascular hospitalizations in older adults

Clonal hematopoiesis and risk of new-onset myocarditis and pericarditis

Risk of myocarditis or pericarditis with high-dose vs standard-dose influenza vaccine

High-dose vs standard-dose influenza vaccine and cardiovascular outcomes in older adults

Prevalence, determinants, and time trends of cardiovascular health in the WHO African region

New study finds that, after a heart attack, women have worse prognosis when treated with beta-blockers

CNIC-led REBOOT clinical trial challenges 40-year-old standard of care for heart attack patients

Systolic blood pressure and microaxial flow pump–associated survival in infarct-related cardiogenic shock

Beta blockers, the standard treatment after a heart attack, may offer no benefit for heart attack patients and women can have worse outcomes

High Mountain Asia’s shrinking glaciers linked to monsoon changes

All DRII-ed up: How do plants recover after drought?

Research on stigma says to just ‘shake it off’

Scientists track lightning “pollution” in real time using NASA satellite

Millions of women rely on contraceptives, but new Rice study shows they may do more than just prevent pregnancy

Hot days make for icy weather, Philippine study finds

Roxana Mehran, MD, receives the most prestigious award given by the European Society of Cardiology

World's first clinical trial showing lubiprostone aids kidney function

Capturing language change through the genes

Public trust in elections increases with clear facts

Thawing permafrost raised carbon dioxide levels after the last ice age

New DNA test reveals plants’ hidden climate role

Retinitis pigmentosa mouse models reflect pathobiology of human RP59

[Press-News.org] AI could help emergency rooms predict admissions, driving more timely, effective care