Emergency departments (EDs) are under more pressure than ever. Apart from the growing patient volumes, staffing shortages, and increasing expectations to deliver safe, high-quality care, EDs are also a frequent destination for some of the most vulnerable patients, those transferred from skilled nursing facilities (SNFs) and other post-acute facilities.
Too often, SNF patients arrive with incomplete or outdated information, leaving clinicians to make critical decisions with limited context. Frontline teams must then find ways to manage higher demand and complexity without compromising outcomes.
As an emergency physician, I have seen firsthand how this lack of information can slow care, drive up costs, and lead to avoidable hospitalizations. But I have also seen how artificial intelligence

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