{"id":3116,"date":"2018-04-27T09:04:57","date_gmt":"2018-04-27T09:04:57","guid":{"rendered":"https:\/\/blog.kolabtree.com\/?p=3116"},"modified":"2018-08-28T20:32:16","modified_gmt":"2018-08-28T20:32:16","slug":"tips-for-effective-clinical-data-management","status":"publish","type":"post","link":"https:\/\/www.kolabtree.com\/blog\/fr\/tips-for-effective-clinical-data-management\/","title":{"rendered":"Conseils pour une gestion efficace des donn\u00e9es cliniques"},"content":{"rendered":"<p>Les essais cliniques cr\u00e9ent un flux incessant de donn\u00e9es non structur\u00e9es. <a href=\"https:\/\/www.kolabtree.com\/find-an-expert\/subject\/clinical-trials?utm_source=Blog_ClinicalData\">Gestion experte des donn\u00e9es cliniques<\/a>La s\u00e9curit\u00e9 et l'acc\u00e8s des utilisateurs sont autant de facteurs qui doivent \u00eatre soigneusement planifi\u00e9s, sinon vos donn\u00e9es exp\u00e9rimentales, logistiques et relatives aux patients deviennent rapidement une b\u00eate impitoyable capable de ralentir les d\u00e9cisions de l'entreprise. La technologie peut bien s\u00fbr la dompter - si vous \u00eates pr\u00eat \u00e0 le faire. Que faut-il donc faire pour regrouper plusieurs flux de travail derri\u00e8re une seule interface accessible ? Nous nous y sommes attaqu\u00e9s et avons surv\u00e9cu pour en parler....<\/p>\n<p><strong>Gestion efficace des donn\u00e9es<\/strong><\/p>\n<p>Dans certains environnements tels que la fabrication, la logistique, la distribution et les retours, le volume de donn\u00e9es est toujours consid\u00e9rable et se d\u00e9verse g\u00e9n\u00e9ralement de diff\u00e9rentes sources (souvent incompatibles). Comment se faire une id\u00e9e de ce qui se passe de la fabrication au march\u00e9 lorsque plusieurs fournisseurs exploitent leurs propres syst\u00e8mes propri\u00e9taires ? La seule r\u00e9ponse est de les int\u00e9grer.<\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"alignnone wp-image-3246 size-full\" src=\"https:\/\/blog.kolabtree.com\/wp-content\/uploads\/2018\/04\/Clinical-Trial-Diagram-01.png\" alt=\"\" width=\"600\" height=\"400\" srcset=\"https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2018\/04\/Clinical-Trial-Diagram-01-300x200@2x.png 600w, https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2018\/04\/Clinical-Trial-Diagram-01-300x200.png 300w\" sizes=\"(max-width: 600px) 100vw, 600px\" \/><\/p>\n<p>Commencez par r\u00e9unir une \u00e9quipe de chefs de projet et d'experts en la mati\u00e8re issus des principales disciplines de l'organisation. R\u00e9unissez-vous pour convenir de la port\u00e9e du projet et des ressources n\u00e9cessaires. Parcourez les parcours des clients, \u00e9tape par \u00e9tape, en indiquant o\u00f9 les donn\u00e9es sont collect\u00e9es, transform\u00e9es, partag\u00e9es et quelles sont les lacunes, les limites ou les impr\u00e9cisions \u00e9ventuelles. Ce type d'approche ax\u00e9e sur les donn\u00e9es permet \u00e0 l'\u00e9quipe de \"parcourir le processus\" en d\u00e9terminant o\u00f9 un portail pourrait avoir le plus grand impact, cr\u00e9er le plus de valeur et aider le plus grand nombre d'\u00e9quipes.<\/p>\n<p><strong>Simplification des rapports et de la visualisation<\/strong><\/p>\n<p>Dans le cadre d'un projet r\u00e9cent, nous avons d\u00e9couvert que les options de rapport \u00e9taient insuffisantes. Les rapports disponibles offraient trop de donn\u00e9es, pas assez de filtres ou \u00e9taient mal pr\u00e9sent\u00e9s. Les syst\u00e8mes pr\u00e9c\u00e9dents permettaient de g\u00e9n\u00e9rer un nombre illimit\u00e9 de rapports ad hoc. Il y avait litt\u00e9ralement des milliers de rapports inutilis\u00e9s, des centaines de copies identiques et beaucoup de ces rapports \u00e9taient envoy\u00e9s quotidiennement par e-mail \u00e0 des personnes qui avaient quitt\u00e9 leur poste ou l'entreprise. C'\u00e9tait un cauchemar de maintenance.<\/p>\n<p>L'\u00e9quipe de projet souhaitait conserver une certaine souplesse tout en maintenant l'ordre. Un mod\u00e8le flexible a \u00e9t\u00e9 adopt\u00e9, permettant de r\u00e9pondre \u00e0 80% des demandes de rapports par un ensemble plus restreint de mod\u00e8les. En concevant d'abord le r\u00e9sultat, l'\u00e9quipe a pu travailler \u00e0 rebours en apportant des changements aux \u00e9tapes de transformation et de collecte qui transformeraient la qualit\u00e9 du r\u00e9sultat. Les scientifiques aiment les donn\u00e9es et les visualisations de donn\u00e9es qui permettent de faire de la science mieux ou plus rapidement.<\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"alignnone wp-image-3247 size-full\" src=\"https:\/\/blog.kolabtree.com\/wp-content\/uploads\/2018\/04\/Analytics-Dashboard-Tablet.jpg\" alt=\"\" width=\"600\" height=\"400\" srcset=\"https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2018\/04\/Analytics-Dashboard-Tablet-300x200@2x.jpg 600w, https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2018\/04\/Analytics-Dashboard-Tablet-300x200.jpg 300w\" sizes=\"(max-width: 600px) 100vw, 600px\" \/><\/p>\n<p>L'effort de conception s'est concentr\u00e9 sur la pr\u00e9sentation de donn\u00e9es granulaires avec des filtres intuitifs, des agr\u00e9gations, des tendances et des calculs sous une forme tr\u00e8s visuelle. En pla\u00e7ant l'exp\u00e9rience utilisateur au c\u0153ur du processus de conception, l'objectif a \u00e9t\u00e9 atteint : faciliter la prise de d\u00e9cisions commerciales fond\u00e9es sur des informations exploitables. (Investissez dans ceci. D\u00e9veloppez cela. Exp\u00e9diez cela.)<\/p>\n<p>La gestion de plusieurs flux de travail au moyen d'une interface unique et la collaboration avec des coll\u00e8gues distants par le biais d'une plateforme partag\u00e9e ont permis d'acc\u00e9l\u00e9rer les analyses, de faciliter la diffusion des informations et d'am\u00e9liorer la prise de d\u00e9cision. En somme, une meilleure utilisation du temps pour toutes les personnes concern\u00e9es.<\/p>\n<p>&#8212;&#8211;<br \/>\nVous souhaitez consulter un sp\u00e9cialiste des essais cliniques ? Engagez un expert ind\u00e9pendant sur <a href=\"https:\/\/www.kolabtree.com\/?utm_source=Blog_ClinicalData\">Kolabtree<\/a>.<\/p>","protected":false},"excerpt":{"rendered":"<p>Les essais cliniques cr\u00e9ent un flux incessant de donn\u00e9es non structur\u00e9es. La gestion experte des donn\u00e9es cliniques, la s\u00e9curit\u00e9 et l'acc\u00e8s des utilisateurs sont autant de facteurs qui doivent \u00eatre soigneusement planifi\u00e9s, sinon vos donn\u00e9es exp\u00e9rimentales, logistiques et relatives aux patients deviennent rapidement une b\u00eate impitoyable capable de ralentir les d\u00e9cisions commerciales. La technologie peut bien s\u00fbr l'apprivoiser, si vous \u00eates pr\u00eat \u00e0...<\/p>\n<div class=\"read-more\"><a href=\"https:\/\/www.kolabtree.com\/blog\/fr\/tips-for-effective-clinical-data-management\/\" title=\"Lire la suite\">Lire la suite<\/a><\/div>","protected":false},"author":44,"featured_media":3247,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[247,443],"tags":[410,336],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v20.1 (Yoast SEO v20.1) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Tips for Effective Clinical Data Management - The Kolabtree Blog<\/title>\n<meta name=\"description\" content=\"Expert clinical data management helps to streamline the relentless stream of unstructured data that comes from clinical trials.\" \/>\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.wyoming-interactive.com\/blog\/show\/Taming_Clinical_Trial_Data_With_Technology\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Tips for Effective Clinical Data Management\" \/>\n<meta property=\"og:description\" content=\"Expert clinical data management helps to streamline the relentless stream of unstructured data that comes from clinical trials.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.wyoming-interactive.com\/blog\/show\/Taming_Clinical_Trial_Data_With_Technology\" \/>\n<meta property=\"og:site_name\" content=\"The Kolabtree Blog\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/kolabtree\" \/>\n<meta property=\"article:published_time\" content=\"2018-04-27T09:04:57+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2018-08-28T20:32:16+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2018\/04\/Analytics-Dashboard-Tablet.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"600\" \/>\n\t<meta property=\"og:image:height\" content=\"400\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Michelle Waddell\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@kolabtree\" \/>\n<meta name=\"twitter:site\" content=\"@kolabtree\" \/>\n<meta name=\"twitter:label1\" content=\"\u00c9crit par\" \/>\n\t<meta name=\"twitter:data1\" content=\"Michelle Waddell\" \/>\n\t<meta name=\"twitter:label2\" content=\"Dur\u00e9e de lecture estim\u00e9e\" \/>\n\t<meta name=\"twitter:data2\" content=\"2 minutes\" \/>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"Tips for Effective Clinical Data Management - 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