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@ShahidNShah
@ShahidNShah
3 Ways AI Is Helping Hospitals Reduce Costs While Enhancing The Quality Of Care
Today, healthcare systems face mounting financial strain, labor shortages and operational inefficiencies that not only increase costs but also limit the attention each patient receives. According to the World Health Organization, chronic diseases now account for 74% of global deaths, a sharp rise from 63% in 2008, leading to an increasing demand for medical services. All of this is unfolding at a time when the number of care providers is shrinking. According to the American Association of Colleges of Nursing, the United States will face a shortfall of 500,000 nurses this year, intensifying the challenges hospitals must navigate.Hospital bed management is a prime example of how rising patient volumes and operational inefficiencies intersect. Hospitals often face bed shortages because patients who are ready to leave stay longer than necessary, taking up space needed for new patients in the ICU and emergency department.
Medigy Insights
Bed management is one of hospitals’ toughest challenges, with patients arriving from emergency departments, procedural areas and transfer lines. Matching each patient to the right bed is complicated by limited availability and more than 20 clinical and operational factors.For instance, when a unit bed opens and multiple patients are waiting, AI helps staff choose the best match by factoring in urgency, staffing and capacity constraints. The system also alerts teams when an ICU bed becomes available, ensuring the right patient receives timely care. The result: digital solutions and AI can help facilitate faster placements, ER congestion is reduced and costly resources are used more efficiently—without overburdening staff.
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