{"version":"1.0","provider_name":"RigenerAI | AI per la sanit\u00e0","provider_url":"https:\/\/rigenerai.com\/en\/","author_name":"debora","author_url":"https:\/\/rigenerai.com\/en\/author\/debora\/","title":"Prioritization in the emergency room with LLM - RigenerAI | AI per la sanit\u00e0","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"2eBimpghaF\"><a href=\"https:\/\/rigenerai.com\/en\/case-studies\/prioritization-in-the-emergency-room-with-llm\/\">Prioritization in the emergency room with LLM<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/rigenerai.com\/en\/case-studies\/prioritization-in-the-emergency-room-with-llm\/embed\/#?secret=2eBimpghaF\" width=\"600\" height=\"338\" title=\"&#8220;Prioritization in the emergency room with LLM&#8221; &#8212; RigenerAI | AI per la sanit\u00e0\" data-secret=\"2eBimpghaF\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script>\n\/*! This file is auto-generated *\/\n!function(d,l){\"use strict\";l.querySelector&&d.addEventListener&&\"undefined\"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!\/[^a-zA-Z0-9]\/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret=\"'+t.secret+'\"]'),o=l.querySelectorAll('blockquote[data-secret=\"'+t.secret+'\"]'),c=new RegExp(\"^https?:$\",\"i\"),i=0;i<o.length;i++)o[i].style.display=\"none\";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute(\"style\"),\"height\"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):\"link\"===t.message&&(r=new URL(s.getAttribute(\"src\")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener(\"message\",d.wp.receiveEmbedMessage,!1),l.addEventListener(\"DOMContentLoaded\",function(){for(var e,t,s=l.querySelectorAll(\"iframe.wp-embedded-content\"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute(\"data-secret\"))||(t=Math.random().toString(36).substring(2,12),e.src+=\"#?secret=\"+t,e.setAttribute(\"data-secret\",t)),e.contentWindow.postMessage({message:\"ready\",secret:t},\"*\")},!1)))}(window,document);\n\/\/# sourceURL=https:\/\/rigenerai.com\/wp-includes\/js\/wp-embed.min.js\n<\/script>\n","thumbnail_url":"https:\/\/rigenerai.com\/wp-content\/uploads\/2026\/03\/Prioritizzazione-in-Pronto-Soccorso-con-LLM_LR.jpg","thumbnail_width":2000,"thumbnail_height":1120,"description":"In emergency rooms, triage correctly classifies clinical urgency, but within the same class remain very different patients in terms of severity and care complexity. This heterogeneity can generate decision-making discretion, variability among operators, and inefficiencies in flows, especially during congestion phases. By integrating structured data and information contained in triage texts through artificial intelligence models and prioritization algorithms, real-time operational decisions can be supported. The approach allows for improved management of intraclass priorities, reduced wait times, and more transparent and governable decision making, without replacing clinical judgment."}