{"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\/pt\/tips-for-effective-clinical-data-management\/","title":{"rendered":"Dicas para um gerenciamento eficaz dos dados cl\u00ednicos"},"content":{"rendered":"

Os ensaios cl\u00ednicos criam um fluxo implac\u00e1vel de dados n\u00e3o estruturados. Gerenciamento especializado de dados cl\u00ednicos<\/a>A seguran\u00e7a e o acesso do usu\u00e1rio s\u00e3o fatores que precisam ser cuidadosamente planejados, ou seus dados experimentais, log\u00edsticos e pacientes rapidamente se tornam uma besta implac\u00e1vel capaz de retardar as decis\u00f5es comerciais. \u00c9 claro que a tecnologia pode dom\u00e1-la - se voc\u00ea estiver pronto para a tarefa. Ent\u00e3o, o que \u00e9 preciso para aconchegar v\u00e1rios fluxos de trabalho atr\u00e1s de uma \u00fanica interface acess\u00edvel? N\u00f3s a enfrentamos e vivemos para contar a hist\u00f3ria....<\/p>\n

Gerenciamento efetivo dos dados<\/strong><\/p>\n

Em certos ambientes, como fabrica\u00e7\u00e3o, log\u00edstica, distribui\u00e7\u00e3o e devolu\u00e7\u00f5es, o volume de dados \u00e9 sempre extenso e, geralmente, \u00e9 proveniente de fontes diferentes (muitas vezes incompat\u00edveis). Como voc\u00ea pode ter uma id\u00e9ia do que est\u00e1 acontecendo desde a fabrica\u00e7\u00e3o at\u00e9 o mercado quando m\u00faltiplos fornecedores est\u00e3o operando seus pr\u00f3prios sistemas propriet\u00e1rios? A \u00fanica resposta \u00e9 integr\u00e1-los.<\/p>\n

\"\"<\/p>\n

Comece reunindo uma equipe de l\u00edderes de projeto e especialistas no assunto de disciplinas-chave em torno da organiza\u00e7\u00e3o. Reunir-se para concordar sobre o escopo do projeto e os recursos necess\u00e1rios. Trabalhar atrav\u00e9s das viagens do cliente, passo a passo, marcando onde os dados s\u00e3o coletados, transformados, compartilhados e quais lacunas, limites ou imprecis\u00f5es podem existir. Este tipo de abordagem baseada em dados permite \u00e0 equipe 'caminhar no processo' descobrindo onde um portal poderia causar maior impacto, criar o maior valor e auxiliar a mais ampla sele\u00e7\u00e3o de equipes.<\/p>\n

Relat\u00f3rios e visualiza\u00e7\u00e3o facilitados<\/strong><\/p>\n

Em um projeto recente, descobrimos que as m\u00e1s op\u00e7\u00f5es de relat\u00f3rios eram um empecilho. Os relat\u00f3rios dispon\u00edveis ofereciam demasiados dados, n\u00e3o possu\u00edam filtros suficientes ou eram mal apresentados. Os sistemas anteriores haviam permitido a gera\u00e7\u00e3o de relat\u00f3rios ad hoc sem limites. Havia literalmente milhares de relat\u00f3rios n\u00e3o utilizados, centenas de c\u00f3pias id\u00eanticas e muitos destes relat\u00f3rios estavam sendo enviados diariamente por e-mail para pessoas que haviam deixado seu papel, ou para o neg\u00f3cio. Era um pesadelo de manuten\u00e7\u00e3o.<\/p>\n

A equipe do projeto queria manter a flexibilidade, mas manter a ordem. Um modelo flex\u00edvel foi adotado, permitindo que o 80% de pedidos de relat\u00f3rios fosse atendido por um conjunto menor de modelos. Ao projetar a sa\u00edda primeiro, a equipe foi capaz de trabalhar de tr\u00e1s para frente, projetando mudan\u00e7as nas etapas de transforma\u00e7\u00e3o e coleta que transformariam a qualidade da sa\u00edda. Os cientistas adoram dados e visualiza\u00e7\u00f5es de dados que permitem que a ci\u00eancia seja feita melhor ou mais rapidamente.<\/p>\n

\"\"<\/p>\n

O esfor\u00e7o de projeto concentrou-se na apresenta\u00e7\u00e3o de dados granulares com filtros intuitivos, agrega\u00e7\u00f5es, tend\u00eancias e c\u00e1lculos em uma forma altamente visual. Com a experi\u00eancia do usu\u00e1rio firmemente no cora\u00e7\u00e3o do processo de design, o objetivo foi alcan\u00e7ado - tomar decis\u00f5es comerciais baseadas em insight accion\u00e1vel mais facilmente. (Invista nisto. Amplie isto. Envie estes).<\/p>\n

Gerenciar v\u00e1rios fluxos de trabalho atrav\u00e9s de uma \u00fanica interface e colaborar com colegas remotos atrav\u00e9s de uma plataforma compartilhada resultou em uma an\u00e1lise mais r\u00e1pida, dissemina\u00e7\u00e3o mais f\u00e1cil de informa\u00e7\u00f5es e melhor tomada de decis\u00f5es. Em suma, um melhor aproveitamento do tempo para todos os envolvidos.<\/p>\n

—–
\nDeseja consultar um especialista em ensaios cl\u00ednicos? Contrate um especialista freelance em Kolabtree<\/a>.<\/p>","protected":false},"excerpt":{"rendered":"

Clinical trials create a relentless stream of unstructured data. Expert clinical data management, security and user access are all factors that need to be carefully planned, or your experimental, logistical and patient data quickly becomes an unforgiving beast capable of slowing down business decisions. Technology can of course tame it – if you\u2019re up for<\/p>\n

Leia mais<\/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":"\nTips 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=\"pt_BR\" \/>\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=\"Escrito por\" \/>\n\t<meta name=\"twitter:data1\" content=\"Michelle Waddell\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. tempo de leitura\" \/>\n\t<meta name=\"twitter:data2\" content=\"2 minutos\" \/>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"Tips for Effective Clinical Data Management - 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