{"id":16410,"date":"2021-05-06T18:19:51","date_gmt":"2021-05-06T16:19:51","guid":{"rendered":"https:\/\/www.cirff.it\/?p=16410"},"modified":"2024-02-07T11:22:53","modified_gmt":"2024-02-07T10:22:53","slug":"patient-adherence-standard-measures-to-be-used-with-big-data-collections-available-in-digital-repositories-digi-pass-2","status":"publish","type":"post","link":"https:\/\/www.cirff.it\/?p=16410&lang=en","title":{"rendered":"Patient Adherence Standard measures to be used with big data collections available in DIGItal repositories \u2013 DIGI.PASs"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"16410\" class=\"elementor elementor-16410\" data-elementor-settings=\"[]\">\n\t\t\t\t\t\t<div class=\"elementor-inner\">\n\t\t\t\t\t\t\t<div class=\"elementor-section-wrap\">\n\t\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-5ab5f9ff elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"5ab5f9ff\" data-element_type=\"section\" data-settings=\"{&quot;ekit_has_onepagescroll_dot&quot;:&quot;yes&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t\t\t<div class=\"elementor-row\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-2c4172d6\" data-id=\"2c4172d6\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-column-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t<div class=\"elementor-widget-wrap\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-1554ab4e elementor-widget elementor-widget-text-editor\" data-id=\"1554ab4e\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-text-editor elementor-clearfix\"><p><!-- wp:paragraph --><\/p>\n<p>The DIGI.PASs project was born within the EIT-Health program with the aim of creating consensus on standards for evaluating and measuring adherence to therapies, starting from Big Data, through a <em>patient and public engagement<\/em> (<strong>PPIE<\/strong>) approach.<\/p>\n<p><!-- \/wp:paragraph --><\/p>\n<p><!-- wp:paragraph {\"style\":{\"typography\":{\"fontSize\":15}}} --><\/p>\n<p style=\"font-size: 15px;\"><strong>Available results:<\/strong><\/p>\n<p><!-- \/wp:paragraph --><\/p>\n<p><!-- wp:paragraph {\"style\":{\"typography\":{\"fontSize\":15}}} --><\/p>\n<p style=\"font-size: 15px;\"><a href=\"https:\/\/www.jmir.org\/2020\/8\/e18150\/\"><strong>The Need to Develop Standard Measures of Patient Adherence for Big Data: Viewpoint.<\/strong> <em>Journal of Medical Internet Research<\/em><\/a><\/p>\n<p><!-- \/wp:paragraph --><\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>The DIGI.PASs project was born within the EIT-Health program with the aim of creating consensus on standards for evaluating and measuring adherence to therapies, starting from Big Data, through a patient and public engagement (PPIE) approach. Available results: The Need to Develop Standard Measures of Patient Adherence for Big Data: Viewpoint. Journal of Medical Internet [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[72],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v15.9.1 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Patient Adherence Standard measures to be used with big data collections available in DIGItal repositories \u2013 DIGI.PASs - CIRFF<\/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.cirff.it\/?p=16410&#038;lang=en\" \/>\n<meta property=\"og:locale\" content=\"it_IT\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Patient Adherence Standard measures to be used with big data collections available in DIGItal repositories \u2013 DIGI.PASs - CIRFF\" \/>\n<meta property=\"og:description\" content=\"The DIGI.PASs project was born within the EIT-Health program with the aim of creating consensus on standards for evaluating and measuring adherence to therapies, starting from Big Data, through a patient and public engagement (PPIE) approach. Available results: The Need to Develop Standard Measures of Patient Adherence for Big Data: Viewpoint. 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