{"id":117265,"date":"2025-04-07T13:45:43","date_gmt":"2025-04-07T13:45:43","guid":{"rendered":"https:\/\/sii.pl\/?post_type=case-study&#038;p=117265"},"modified":"2025-04-08T07:36:04","modified_gmt":"2025-04-08T07:36:04","slug":"ai-advancing-healthcare-quality","status":"publish","type":"case-study","link":"https:\/\/sii.pl\/en\/case-study\/ai-advancing-healthcare-quality\/","title":{"rendered":"AI advancing healthcare quality"},"content":{"rendered":"<h2>The challenge<\/h2>\n<div class=\"sii-rl-content-item-value sii-rl-businessNeed-value sii-rl-content-item-value-display\">\n<div class=\"sii-rl-content-item-value sii-rl-businessNeed-value sii-rl-content-item-value-display\">\n<ul>\n<li class=\"ng-scope\"><span class=\"TextRun SCXP147040411 BCX8\" lang=\"EN-GB\" xml:lang=\"EN-GB\" data-scheme-color=\"@595959,1,18:65000,19:35000\" data-usefontface=\"true\" data-contrast=\"none\"><span class=\"NormalTextRun SCXP147040411 BCX8\">Fresenius needed to monitor and understand large volumes of customers\u2019 opinions data posted <\/span><\/span><span class=\"TextRun SCXP147040411 BCX8\" lang=\"EN-GB\" xml:lang=\"EN-GB\" data-scheme-color=\"@595959,1,18:65000,19:35000\" data-usefontface=\"true\" data-contrast=\"none\"><span class=\"NormalTextRun SCXP147040411 BCX8\">online. <\/span><\/span><\/li>\n<li class=\"ng-scope\"><span class=\"TextRun SCXP147040411 BCX8\" lang=\"EN-GB\" xml:lang=\"EN-GB\" data-scheme-color=\"@595959,1,18:65000,19:35000\" data-usefontface=\"true\" data-contrast=\"none\"><span class=\"NormalTextRun SCXP147040411 BCX8\">Manual monitoring was <\/span><\/span><span class=\"TextRun SpellingErrorZoomed SCXP147040411 BCX8\" lang=\"EN-GB\" xml:lang=\"EN-GB\" data-scheme-color=\"@595959,1,18:65000,19:35000\" data-usefontface=\"true\" data-contrast=\"none\"><span class=\"SCXP147040411 BCX8\">labor-intensive<\/span><\/span><span class=\"TextRun SCXP147040411 BCX8\" lang=\"EN-GB\" xml:lang=\"EN-GB\" data-scheme-color=\"@595959,1,18:65000,19:35000\" data-usefontface=\"true\" data-contrast=\"none\"><span class=\"NormalTextRun SCXP147040411 BCX8\">, slow, and risked missing crucial insights.\u00a0<\/span><\/span><\/li>\n<\/ul>\n<\/div>\n<\/div>\n<h2>What we did<\/h2>\n<ul>\n<li>We built a sentiment analysis pipeline that collects web feedback, classifies sentiment, and visualizes aggregate results in an interactive dashboard.<\/li>\n<\/ul>\n<h2>Benefits for the client<\/h2>\n<ul>\n<li><span class=\"TextRun SCXP203756867 BCX8\" lang=\"EN-GB\" xml:lang=\"EN-GB\" data-scheme-color=\"@595959,1,18:65000,19:35000\" data-usefontface=\"true\" data-contrast=\"none\"><span class=\"NormalTextRun SCXP203756867 BCX8\">Management now sees real-time brand health indicators, can address <\/span><\/span><span class=\"TextRun SCXP203756867 BCX8\" lang=\"EN-GB\" xml:lang=\"EN-GB\" data-scheme-color=\"@595959,1,18:65000,19:35000\" data-usefontface=\"true\" data-contrast=\"none\"><span class=\"NormalTextRun SCXP203756867 BCX8\">negative trends quickly, and base decisions on data-driven insights.\u00a0<\/span><\/span><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>The challenge Fresenius needed to monitor and understand large volumes of customers\u2019 opinions data posted online. Manual monitoring was labor-intensive, &hellip; <a class=\"continued-btn\" href=\"https:\/\/sii.pl\/en\/case-study\/ai-advancing-healthcare-quality\/\">Continued<\/a><\/p>\n","protected":false},"author":109,"featured_media":117270,"template":"views\/single-old-case-study.blade.php","offering":[5112],"industry":[1658],"client":[1574],"technologies":[],"country":[],"class_list":["post-117265","case-study","type-case-study","status-publish","has-post-thumbnail","hentry","offering-artificial-intelligence","industry-healthcare","client-fresenius-en"],"acf":[],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/sii.pl\/en\/wp-json\/wp\/v2\/case-study\/117265"}],"collection":[{"href":"https:\/\/sii.pl\/en\/wp-json\/wp\/v2\/case-study"}],"about":[{"href":"https:\/\/sii.pl\/en\/wp-json\/wp\/v2\/types\/case-study"}],"author":[{"embeddable":true,"href":"https:\/\/sii.pl\/en\/wp-json\/wp\/v2\/users\/109"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/sii.pl\/en\/wp-json\/wp\/v2\/media\/117270"}],"wp:attachment":[{"href":"https:\/\/sii.pl\/en\/wp-json\/wp\/v2\/media?parent=117265"}],"wp:term":[{"taxonomy":"offering","embeddable":true,"href":"https:\/\/sii.pl\/en\/wp-json\/wp\/v2\/offering?post=117265"},{"taxonomy":"industry","embeddable":true,"href":"https:\/\/sii.pl\/en\/wp-json\/wp\/v2\/industry?post=117265"},{"taxonomy":"client","embeddable":true,"href":"https:\/\/sii.pl\/en\/wp-json\/wp\/v2\/client?post=117265"},{"taxonomy":"technologies","embeddable":true,"href":"https:\/\/sii.pl\/en\/wp-json\/wp\/v2\/technologies?post=117265"},{"taxonomy":"country","embeddable":true,"href":"https:\/\/sii.pl\/en\/wp-json\/wp\/v2\/country?post=117265"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}