![Gayfeather and Sunrise, J.T. Nickel Preserve, Oklahoma sun setting above a large green field with purple flowers](https://www.sph.umn.edu/sph/wp-content/uploads/2025/01/upper-midwest-center-banner-1200-630.jpg)
New SPH center will focus on stronger, locally adaptable responses to public health emergencies
Recent public health crises have highlighted the urgent need for a stronger public health response system that is flexible and able to adapt to the unique needs of particular regions and communities. The new SPH Upper Midwest (Region 5) Center for Public Health Preparedness and Response will strengthen public health emergency preparedness systems and response networks across six states and Tribal communities in the Upper Midwest region.
![Mixed Race Mother Snuggling Newborn After Delivery Woman in a hospital bed holds a newborn baby that is wrapped in a pink blanket](https://www.sph.umn.edu/sph/wp-content/uploads/2024/12/kozhimannil-closures-banner-1200-630-300x158.jpg)
Number of U.S. hospitals offering obstetric care is declining
New School of Public Health study shows that between 2010 and 2022, more than 500 hospitals in the U.S. discontinued obstetric care, with nearly half in rural areas.
![morales-student-who-rocked-banner-1200-630 Rodrigo Andres Stein Morales standing in front of a colorful wall](https://www.sph.umn.edu/sph/wp-content/uploads/2025/02/morales-student-who-rocked-banner-1200-630-300x158.jpg)
MPH student named one of top public health students by prestigious national publication
Rodrigo Andres Stein Morales included as one of the Journal of Public Health Management & Practice’s “Students Who Rocked Public Health in 2024.”
![Nurse working at the reception desk in the private clinic Black woman healthcare worker in a blue uniform working on a computer](https://www.sph.umn.edu/sph/wp-content/uploads/2025/01/nong-hhealthcare-ai-banner-1200-630-300x158.jpg)
New study analyzes hospitals’ use of AI-assisted predictive tools for accuracy and biases
Although use of various AI-assisted predictive tools has increased in hospitals across the U.S., effective evaluation of them—and their potential for bias— is lacking. A new SPH study offers one of the first national analyses of how hospitals in the U.S. are using AI-assisted predictive models, finding that approximately 65% of U.S. hospitals reported using AI-assisted models, while less than half—44%—evaluated them for bias.
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