{"id":5543,"date":"2016-04-14T10:27:19","date_gmt":"2016-04-14T10:27:19","guid":{"rendered":"https:\/\/arisglobal.com\/bkp-site\/?p=5543"},"modified":"2016-04-14T10:27:19","modified_gmt":"2016-04-14T10:27:19","slug":"intelligent-monitoring-in-clinical-trials","status":"publish","type":"post","link":"https:\/\/www.arisglobal.com\/uncategorized\/intelligent-monitoring-in-clinical-trials\/","title":{"rendered":"Intelligent Monitoring in Clinical Trials"},"content":{"rendered":"\n\n\nOne of today\u2019s big conversations in clinical research is how the conventional approach for monitoring trial conduct simply doesn\u2019t give the best view of data to protect patient safety, comply with protocol procedures and ensure the accuracy of data collected during the conduct of a study. This conventional approach, involving periodic site visits with 100% SDV, is reactive, resource intensive and based on the retrospective detection of errors.\n\nArisGlobal invites you to learn about the value of intelligent monitoring by downloading a complimentary white paper, \u201cIntelligent Monitoring in Clinical Trials.\u201d This paper describes the various types of risks involved and the importance of a framework that combines optimal monitoring strategies to support decisions about the type, intensity and frequency of monitoring a site during clinical trial conduct.\n\n[contact-form-7 id="41" title="download the White Paper Default"]\n","protected":false},"excerpt":{"rendered":"

One of today\u2019s big conversations in clinical research is how the conventional approach for monitoring trial conduct simply doesn\u2019t give the best view of data. Download this whitepaper which describes the various types of risks involved and the importance of a framework that combines optimal monitoring strategies<\/p>\n","protected":false},"author":27,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-5543","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"acf":[],"yoast_head":"\nWhitepaper: Intelligent Monitoring in Clinical Trials | ArisGlobal<\/title>\n<meta name=\"description\" content=\"One of today\u2019s big conversations in clinical research is how the conventional approach for monitoring trial conduct simply doesn\u2019t give the best view of data. Download this whitepaper which describes the various types of risks involved and the importance of a framework that combines optimal monitoring strategies\" \/>\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.arisglobal.com\/uncategorized\/intelligent-monitoring-in-clinical-trials\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Intelligent Monitoring in Clinical Trials\" \/>\n<meta property=\"og:description\" content=\"One of today\u2019s big conversations in clinical research is how the conventional approach for monitoring trial conduct simply doesn\u2019t give the best view of data. Download this whitepaper which describes the various types of risks involved and the importance of a framework that combines optimal monitoring strategies\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.arisglobal.com\/uncategorized\/intelligent-monitoring-in-clinical-trials\/\" \/>\n<meta property=\"og:site_name\" content=\"ArisGlobal\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/LifeSphereAG\/\" \/>\n<meta property=\"article:published_time\" content=\"2016-04-14T10:27:19+00:00\" \/>\n<meta name=\"author\" content=\"Mladen Prenc\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Mladen Prenc\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/www.arisglobal.com\/uncategorized\/intelligent-monitoring-in-clinical-trials\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/www.arisglobal.com\/uncategorized\/intelligent-monitoring-in-clinical-trials\/\"},\"author\":{\"name\":\"Mladen Prenc\",\"@id\":\"https:\/\/www.arisglobal.com\/#\/schema\/person\/bb2c7aafe44a090bcd667448651eb974\"},\"headline\":\"Intelligent Monitoring in Clinical Trials\",\"datePublished\":\"2016-04-14T10:27:19+00:00\",\"dateModified\":\"2016-04-14T10:27:19+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/www.arisglobal.com\/uncategorized\/intelligent-monitoring-in-clinical-trials\/\"},\"wordCount\":145,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/www.arisglobal.com\/#organization\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/www.arisglobal.com\/uncategorized\/intelligent-monitoring-in-clinical-trials\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.arisglobal.com\/uncategorized\/intelligent-monitoring-in-clinical-trials\/\",\"url\":\"https:\/\/www.arisglobal.com\/uncategorized\/intelligent-monitoring-in-clinical-trials\/\",\"name\":\"Whitepaper: Intelligent Monitoring in Clinical Trials | ArisGlobal\",\"isPartOf\":{\"@id\":\"https:\/\/www.arisglobal.com\/#website\"},\"datePublished\":\"2016-04-14T10:27:19+00:00\",\"dateModified\":\"2016-04-14T10:27:19+00:00\",\"description\":\"One of today\u2019s big conversations in clinical research is how the conventional approach for monitoring trial conduct simply doesn\u2019t give the best view of data. 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