{"id":1386665,"date":"2024-06-05T22:25:44","date_gmt":"2024-06-05T20:25:44","guid":{"rendered":"https:\/\/www.supplyvalueconsulting.com\/?post_type=client-case&p=1386665"},"modified":"2024-06-05T22:25:44","modified_gmt":"2024-06-05T20:25:44","slug":"optimierung-der-personaleinsatzplanung-im-gesundheitswesen","status":"publish","type":"client-case","link":"https:\/\/www.supplyvalueconsulting.com\/de\/client-case\/optimisation-of-workforce-planning-in-healthcare\/","title":{"rendered":"Optimierung der Personaleinsatzplanung im Gesundheitswesen"},"content":{"rendered":"

Aufgrund des anhaltenden Personalmangels im Gesundheitswesen stand The Care Group vor der Herausforderung, die Personalfluktuation genauer vorhersagen zu k\u00f6nnen. Als Reaktion darauf unterst\u00fctzten wir das Unternehmen bei der Einf\u00fchrung fortschrittlicher Prognosemethoden, die es ihm erm\u00f6glichen, proaktiv zu handeln und seine Personalplanung zu verbessern. Dank dieses strategischen Ansatzes konnte The Care Group den k\u00fcnftigen Personalbedarf besser vorhersehen und so einen optimierten und widerstandsf\u00e4higeren Personalbestand erreichen.<\/p>","protected":false},"featured_media":0,"template":"","expertise":[207],"class_list":["post-1386665","client-case","type-client-case","status-publish","hentry","expertise-health"],"acf":[],"yoast_head":"\nOptimisation of Workforce Planning in Healthcare - Supply Value Consulting<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.supplyvalueconsulting.com\/de\/kundenfall\/optimierung-der-personaleinsatzplanung-im-gesundheitswesen\/\" \/>\n<meta property=\"og:locale\" content=\"de_DE\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Optimisation of Workforce Planning in Healthcare\" \/>\n<meta property=\"og:description\" content=\"Due to ongoing staff shortages in the healthcare sector, The Care Group faced the challenge of being able to predict staff turnover more accurately. 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