It picked up the Aiconics AI Enterprise Business of the Year award at the National AI Awards 2026, after judges weighed in on its real-world application.<\/p>\n
Latest Videos From The system was built to give managers an earlier warning of retention problems across a workforce of around 7,500 NHS employees.<\/p>\n Unlike the Trust’s old reactive process, this model actually explains the reasoning behind each prediction, rather than just spitting out a result.<\/p>\n You may like<\/p>\n “This award reflects what’s possible when academic expertise in AI and forecasting is applied directly to a real problem facing the NHS,” said Shixuan Wang, a professor at the University of Reading.<\/p>\n The model pinpoints specific factors tied to resignation risk, so HR teams can actually understand why a prediction was made instead of treating it as a mystery.<\/p>\n The initiative ties directly into NHS workforce goals, tackling turnover, cutting down disruption, and looking for ways to keep more staff in post.<\/p>\n It brings academic research together with operational healthcare data, which wasn’t simple, and questions remain about how well these scales or holds up over time.<\/p>\n Royal Berkshire NHS Foundation Trust delivers acute and specialist care across Berkshire, serving roughly a million people through its hospitals and services.<\/p>\n What to read next<\/p>\n Before this, the Trust leaned on reactive reporting, meaning managers often only found out about a retention problem once someone had already decided to walk.<\/p>\n The researchers used data analysis to build an AI tool<\/a> that supports workforce planning while still leaving the final call to human decision-makers.<\/p>\n Throughout development, the team kept a close eye on combining operational know-how with academic rigor, without losing sight of responsible AI use in a healthcare setting.<\/p>\n Recognition comes as organizations explore predictive AI systems<\/p>\n “Entries for the 2026 National AI Awards were hugely impressive, with companies spanning a huge range of industries and innovations,” said Fergus Bruce, CEO of The National AI Awards.<\/p>\n The organisation said this year’s entries showed measurable value, responsible innovation, and genuinely practical results across different sectors.<\/p>\n As LLMs<\/a> increasingly find their way into workforce management, interest in predictive tools for organisational decisions keeps growing.<\/p>\n People from different backgrounds shaped this project, spanning data analytics, strategic HR research, and healthcare workforce operations throughout.<\/p>\n The forecasting tool is meant to give managers more to work with, not replace them, since employment decisions still rest with human judgement.<\/p>\n Whether tools like this catch on more broadly will come down to accuracy, trust, privacy concerns, and whether they genuinely deliver useful outcomes.<\/p>\n \n Follow TechRadar on Google News<\/a> and add us as a preferred source<\/a> to get our expert news, reviews, and opinion in your feeds. <\/p>\n","protected":false},"excerpt":{"rendered":"AI tool predicts NHS staff resignations using workforce patterns and dataRoyal Berkshire NHS wins award for innovative employee…\n","protected":false},"author":2,"featured_media":503771,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[34],"tags":[163,521,85,46],"class_list":["post-503770","post","type-post","status-publish","format-standard","has-post-thumbnail","category-healthcare","tag-health","tag-healthcare","tag-il","tag-israel"],"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/posts\/503770","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/comments?post=503770"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/posts\/503770\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/media\/503771"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/media?parent=503770"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/categories?post=503770"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/tags?post=503770"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}![\"\"](\"https:\/\/www.techradar.com\/media\/img\/techradar_logo_v2.svg\"){kind=logo}
AI model digs into workforce patterns behind possible departures<\/p>\n![\"Google](\"https:\/\/www.newsbeep.com\/il\/wp-content\/uploads\/2026\/04\/diM9tpwF2Lz85R8q85CT78.jpg\")
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