{"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":"Optimization of staffing and nursing rostering - RigenerAI | AI per la sanit\u00e0","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"aL99eZ6Twd\"><a href=\"https:\/\/rigenerai.com\/en\/case-studies\/optimization-of-staffing-and-nursing-rostering\/\">Optimization of staffing and nursing rostering<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/rigenerai.com\/en\/case-studies\/optimization-of-staffing-and-nursing-rostering\/embed\/#?secret=aL99eZ6Twd\" width=\"600\" height=\"338\" title=\"&#8220;Optimization of staffing and nursing rostering&#8221; &#8212; RigenerAI | AI per la sanit\u00e0\" data-secret=\"aL99eZ6Twd\" 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\/Ottimizzazione-staffing-e-turnazione-infermieristica_LR.jpg","thumbnail_width":2000,"thumbnail_height":1333,"description":"Nursing shift scheduling is increasingly complex: 24\/7 coverage, staffing shortages, and varying demand for care make traditional models based on static rules or manual scheduling ineffective. This can generate under-coverage, unnecessary costs and organizational stress. Through optimization models and data analysis, it is possible to align nursing coverage with actual needs, improve shift balance and reduce operating costs, while ensuring continuity of care and greater sustainability for the health care workforce."}