{"id":7214,"date":"2018-02-14T09:46:59","date_gmt":"2018-02-14T14:46:59","guid":{"rendered":"https:\/\/michigan.it.umich.edu\/news\/?p=7214"},"modified":"2024-07-08T06:06:03","modified_gmt":"2024-07-08T10:06:03","slug":"hospitals-algorithms","status":"publish","type":"post","link":"https:\/\/michigan.it.umich.edu\/news\/2018\/02\/14\/hospitals-algorithms\/","title":{"rendered":"To fight fatal infections, hospitals may turn to algorithms"},"content":{"rendered":"<div id=\"attachment_7217\" style=\"width: 460px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-7217\" class=\"size-full wp-image-7217\" src=\"https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2018\/02\/40912648_s.jpg\" alt=\"composite image of medical and information technology icons and devices\" width=\"450\" height=\"193\" srcset=\"https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2018\/02\/40912648_s.jpg 450w, https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2018\/02\/40912648_s-125x54.jpg 125w, https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2018\/02\/40912648_s-300x129.jpg 300w\" sizes=\"auto, (max-width: 450px) 100vw, 450px\" \/><p id=\"caption-attachment-7217\" class=\"wp-caption-text\">(Copyright: <a href=\"https:\/\/www.123rf.com\/profile_bakhtiarzein\">bakhtiarzein \/ 123RF Stock Photo<\/a>)<\/p><\/div>\n<p><strong>Jenna Wiens<\/strong>, a computer scientist and assistant professor of engineering at U-M, helped create <a class=\"underlink bluelink\" tabindex=\"-1\" href=\"https:\/\/www.scientificamerican.com\/article\/to-fight-fatal-infections-hospitals-may-turn-to-algorithms\/\" target=\"_blank\" rel=\"noopener\">an algorithm to predict<\/a>\u00a0a patient\u2019s risk of developing\u00a0a C-diff infection (CDI),\u00a0one of the deadliest killers in American hospitals.\u00a0The algorithm uses a form of artificial intelligence called machine learning to extract warning signs of disease from\u00a0patients\u2019 vital signs and other health records\u2014constellations of symptoms, circumstances, and details of medical history most likely to result in infection at any point in the hospital stay.<\/p>\n<p>The CDI algorithm, and other innovations like it, are at the leading edge of a technological wave starting to hit the U.S. health care industry. Machine learning\u2019s predictive powers are well-established, and it is poised to move from labs to broad real-world applications. \u201cThink about all the data we are collecting right now,\u201d Wiens said. \u201cElectronic health records. Hospitalizations. At outpatient centers. At home. We are starting to collect lots of data on personal monitors. These data are valuable in ways we can\u2019t yet know.\u201d<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Jenna Wiens, a computer scientist and assistant professor of engineering at U-M, helped create an algorithm to predict\u00a0a patient\u2019s risk of developing\u00a0a C-diff infection (CDI),\u00a0one of the deadliest killers in American hospitals.\u00a0The algorithm uses a form of artificial intelligence called machine learning to extract warning signs of disease from\u00a0patients\u2019 vital signs and other health records\u2014constellations of symptoms, circumstances,\u2026 <span class=\"read-more\"><a href=\"https:\/\/michigan.it.umich.edu\/news\/2018\/02\/14\/hospitals-algorithms\/\">Read More &raquo;<\/a><\/span><\/p>\n","protected":false},"author":1,"featured_media":7217,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_uag_custom_page_level_css":"","_umich_oidc_access":"","_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"_ef_editorial_meta_date_first-draft-date":"","_ef_editorial_meta_paragraph_assignment":"","_ef_editorial_meta_checkbox_needs-photo":"","_ef_editorial_meta_number_word-count":"","footnotes":""},"categories":[5],"tags":[61,43,228,21,51],"class_list":["post-7214","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-campus-news","tag-ai","tag-data","tag-ehr","tag-innovation","tag-medical"],"uagb_featured_image_src":{"full":["https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2018\/02\/40912648_s.jpg",450,193,false],"thumbnail":["https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2018\/02\/40912648_s-125x54.jpg",125,54,true],"medium":["https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2018\/02\/40912648_s-300x129.jpg",300,129,true],"medium_large":["https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2018\/02\/40912648_s.jpg",450,193,false],"large":["https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2018\/02\/40912648_s.jpg",450,193,false],"1536x1536":["https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2018\/02\/40912648_s.jpg",450,193,false],"2048x2048":["https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2018\/02\/40912648_s.jpg",450,193,false],"excerpt-thumbnail":["https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2018\/02\/40912648_s-200x140.jpg",200,140,true],"themonic-thumbnail":["https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2018\/02\/40912648_s-60x42.jpg",60,42,true],"ioslider-thumbnail":["https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2018\/02\/40912648_s.jpg",450,193,false],"post-thumbnail":["https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2018\/02\/40912648_s.jpg",450,193,false],"400x250-crop":["https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2018\/02\/40912648_s.jpg",400,172,false]},"uagb_author_info":{"display_name":"News Staff","author_link":"https:\/\/michigan.it.umich.edu\/news\/author\/mitnewsadm\/"},"uagb_comment_info":0,"uagb_excerpt":"Jenna Wiens, a computer scientist and assistant professor of engineering at U-M, helped create an algorithm to predict\u00a0a patient\u2019s risk of developing\u00a0a C-diff infection (CDI),\u00a0one of the deadliest killers in American hospitals.\u00a0The algorithm uses a form of artificial intelligence called machine learning to extract warning signs of disease from\u00a0patients\u2019 vital signs and other health records\u2014constellations&hellip;","_links":{"self":[{"href":"https:\/\/michigan.it.umich.edu\/news\/wp-json\/wp\/v2\/posts\/7214","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/michigan.it.umich.edu\/news\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/michigan.it.umich.edu\/news\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/michigan.it.umich.edu\/news\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/michigan.it.umich.edu\/news\/wp-json\/wp\/v2\/comments?post=7214"}],"version-history":[{"count":5,"href":"https:\/\/michigan.it.umich.edu\/news\/wp-json\/wp\/v2\/posts\/7214\/revisions"}],"predecessor-version":[{"id":7220,"href":"https:\/\/michigan.it.umich.edu\/news\/wp-json\/wp\/v2\/posts\/7214\/revisions\/7220"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/michigan.it.umich.edu\/news\/wp-json\/wp\/v2\/media\/7217"}],"wp:attachment":[{"href":"https:\/\/michigan.it.umich.edu\/news\/wp-json\/wp\/v2\/media?parent=7214"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/michigan.it.umich.edu\/news\/wp-json\/wp\/v2\/categories?post=7214"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/michigan.it.umich.edu\/news\/wp-json\/wp\/v2\/tags?post=7214"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}