{"id":20964,"date":"2020-10-14T11:57:00","date_gmt":"2020-10-14T15:57:00","guid":{"rendered":"https:\/\/michigan.it.umich.edu\/news\/?p=20964"},"modified":"2024-07-08T06:04:46","modified_gmt":"2024-07-08T10:04:46","slug":"new-framework-developed-at-u-m-helps-streamline-ehr-data-extraction","status":"publish","type":"post","link":"https:\/\/michigan.it.umich.edu\/news\/2020\/10\/14\/new-framework-developed-at-u-m-helps-streamline-ehr-data-extraction\/","title":{"rendered":"New framework developed at U-M helps streamline EHR data extraction"},"content":{"rendered":"\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"700\" height=\"367\" src=\"https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2020\/11\/health-tech1_1200-700x367.jpg\" alt=\"Doctor in white lab coat sitting at laptop. Overalay of medical and data icons.\" class=\"wp-image-20966\" srcset=\"https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2020\/11\/health-tech1_1200-700x367.jpg 700w, https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2020\/11\/health-tech1_1200-300x157.jpg 300w, https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2020\/11\/health-tech1_1200-200x105.jpg 200w, https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2020\/11\/health-tech1_1200-665x349.jpg 665w, https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2020\/11\/health-tech1_1200.jpg 724w\" sizes=\"auto, (max-width: 700px) 100vw, 700px\" \/><figcaption>(Healthcare IT News)<\/figcaption><\/figure><\/div>\n\n\n\n<p class=\"wp-block-paragraph\">A cross-disciplinary team of researchers from U-M have developed an\u00a0<a rel=\"noreferrer noopener\" href=\"https:\/\/www.healthcareitnews.com\/news\/new-framework-helps-streamline-ehr-data-extraction\" target=\"_blank\">open-source framework<\/a>\u00a0that streamlines the preprocessing of data extracted from the electronic health record.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The framework, which the researchers call FIDDLE (Flexible Data-Driven Pipeline), has the power to greatly speed up EHR data preprocessing and assist machine learning (ML) practitioners working with health data, according to a study published in early October in the Journal of the American Medical Informatics Association.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">&#8220;By accelerating and standardizing the labor-intensive preprocessing steps, FIDDLE can help stimulate progress in building clinically useful ML tools,&#8221; wrote the researchers.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>A cross-disciplinary team of researchers from U-M have developed an\u00a0open-source framework\u00a0that streamlines the preprocessing of data extracted from the electronic health record. The framework, which the researchers call FIDDLE (Flexible Data-Driven Pipeline), has the power to greatly speed up EHR data preprocessing and assist machine learning (ML) practitioners working with health data, according to a study published in\u2026 <span class=\"read-more\"><a href=\"https:\/\/michigan.it.umich.edu\/news\/2020\/10\/14\/new-framework-developed-at-u-m-helps-streamline-ehr-data-extraction\/\">Read More &raquo;<\/a><\/span><\/p>\n","protected":false},"author":1,"featured_media":20966,"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":[43,228,489,51],"class_list":["post-20964","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-campus-news","tag-data","tag-ehr","tag-health-care","tag-medical"],"uagb_featured_image_src":{"full":["https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2020\/11\/health-tech1_1200.jpg",724,380,false],"thumbnail":["https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2020\/11\/health-tech1_1200-200x105.jpg",200,105,true],"medium":["https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2020\/11\/health-tech1_1200-300x157.jpg",300,157,true],"medium_large":["https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2020\/11\/health-tech1_1200.jpg",665,349,false],"large":["https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2020\/11\/health-tech1_1200-700x367.jpg",600,315,true],"1536x1536":["https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2020\/11\/health-tech1_1200.jpg",724,380,false],"2048x2048":["https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2020\/11\/health-tech1_1200.jpg",724,380,false],"excerpt-thumbnail":["https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2020\/11\/health-tech1_1200-200x140.jpg",200,140,true],"themonic-thumbnail":["https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2020\/11\/health-tech1_1200-60x42.jpg",60,42,true],"ioslider-thumbnail":["https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2020\/11\/health-tech1_1200-658x300.jpg",658,300,true],"post-thumbnail":["https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2020\/11\/health-tech1_1200-665x349.jpg",665,349,true],"400x250-crop":["https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2020\/11\/health-tech1_1200.jpg",400,210,false]},"uagb_author_info":{"display_name":"News Staff","author_link":"https:\/\/michigan.it.umich.edu\/news\/author\/mitnewsadm\/"},"uagb_comment_info":0,"uagb_excerpt":"A cross-disciplinary team of researchers from U-M have developed an\u00a0open-source framework\u00a0that streamlines the preprocessing of data extracted from the electronic health record. The framework, which the researchers call FIDDLE (Flexible Data-Driven Pipeline), has the power to greatly speed up EHR data preprocessing and assist machine learning (ML) practitioners working with health data, according to a&hellip;","_links":{"self":[{"href":"https:\/\/michigan.it.umich.edu\/news\/wp-json\/wp\/v2\/posts\/20964","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=20964"}],"version-history":[{"count":4,"href":"https:\/\/michigan.it.umich.edu\/news\/wp-json\/wp\/v2\/posts\/20964\/revisions"}],"predecessor-version":[{"id":21162,"href":"https:\/\/michigan.it.umich.edu\/news\/wp-json\/wp\/v2\/posts\/20964\/revisions\/21162"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/michigan.it.umich.edu\/news\/wp-json\/wp\/v2\/media\/20966"}],"wp:attachment":[{"href":"https:\/\/michigan.it.umich.edu\/news\/wp-json\/wp\/v2\/media?parent=20964"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/michigan.it.umich.edu\/news\/wp-json\/wp\/v2\/categories?post=20964"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/michigan.it.umich.edu\/news\/wp-json\/wp\/v2\/tags?post=20964"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}