{"id":5691,"date":"2019-06-21T10:46:12","date_gmt":"2019-06-21T10:46:12","guid":{"rendered":"https:\/\/blog.kolabtree.com\/?p=5691"},"modified":"2019-06-21T11:37:30","modified_gmt":"2019-06-21T11:37:30","slug":"top-4-use-cases-of-data-science-in-healthcare","status":"publish","type":"post","link":"https:\/\/www.kolabtree.com\/blog\/pt\/top-4-use-cases-of-data-science-in-healthcare\/","title":{"rendered":"Top 4 Casos de uso de dados cient\u00edficos na \u00e1rea da sa\u00fade"},"content":{"rendered":"<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_45_1 counter-flat ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\">Tabela de Conte\u00fados<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" area-label=\"ez-toc-toggle-icon-1\"><label for=\"item-69f1540e75de5\" aria-label=\"Table of Content\"><span style=\"display: flex;align-items: center;width: 35px;height: 30px;justify-content: center;direction:ltr;\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewbox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewbox=\"0 0 24 24\" version=\"1.2\" baseprofile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/label><input  type=\"checkbox\" id=\"item-69f1540e75de5\"><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1' ><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/www.kolabtree.com\/blog\/pt\/top-4-use-cases-of-data-science-in-healthcare\/#1_Clinical_trials\" title=\"1. Ensaios cl\u00ednicos\">1. Ensaios cl\u00ednicos<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/www.kolabtree.com\/blog\/pt\/top-4-use-cases-of-data-science-in-healthcare\/#2_Real-time_patient_monitoring\" title=\"2. Monitoramento de pacientes em tempo real\">2. Monitoramento de pacientes em tempo real<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/www.kolabtree.com\/blog\/pt\/top-4-use-cases-of-data-science-in-healthcare\/#3_Public_health_epidemiology\" title=\"3. Sa\u00fade p\u00fablica e epidemiologia\u00a0\">3. Sa\u00fade p\u00fablica e epidemiologia\u00a0<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/www.kolabtree.com\/blog\/pt\/top-4-use-cases-of-data-science-in-healthcare\/#4_Improving_patient_care\" title=\"4. Melhorando o atendimento aos pacientes\">4. Melhorando o atendimento aos pacientes<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/www.kolabtree.com\/blog\/pt\/top-4-use-cases-of-data-science-in-healthcare\/#Privacy_concerns\" title=\"Quest\u00f5es de privacidade \">Quest\u00f5es de privacidade <\/a><\/li><\/ul><\/nav><\/div>\n<p><b>A ind\u00fastria da sa\u00fade tem uma infinidade de dados na ponta de seus dedos. No entanto, muitos ainda est\u00e3o para dar bom uso a esses dados.  Aqui Paul Ricci, um <a href=\"https:\/\/www.kolabtree.com\/services\/data-science-analytics\/?utm_source=Blog&amp;utm_medium=Post&amp;utm_campaign=HealthcareData-Ricci\">cientista de dados freelance<\/a> em Kolabtree, <\/b><b>explains some use cases of data science in healthcare and how it can improve <a href=\"https:\/\/www.kolabtree.com\/blog\/pt\/ensuring-reproducibility-in-ai-driven-research-how-freelance-experts-can-help-in-biotech-and-healthcare\/\">pesquisa<\/a> and patient care.<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Os servi\u00e7os de sa\u00fade em todo o mundo est\u00e3o enfrentando press\u00f5es crescentes para serem mais eficientes e melhorarem os resultados cl\u00ednicos. A an\u00e1lise de dados pode ser usada para informar melhor a tomada de decis\u00f5es em n\u00edvel cl\u00ednico e operacional e ajudar a ind\u00fastria a atender a essas demandas. Aqui est\u00e3o algumas das principais aplica\u00e7\u00f5es da ci\u00eancia de dados na \u00e1rea da sa\u00fade, juntamente com seu impacto na pesquisa.\u00a0<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"1_Clinical_trials\"><\/span><b>1. Ensaios cl\u00ednicos<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Um recente <\/span><a href=\"https:\/\/jamanetwork.com\/journals\/jamainternalmedicine\/article-abstract\/2702287?utm_campaign=articlePDF&amp;utm_medium=articlePDFlink&amp;utm_source=articlePDF&amp;utm_content=jamainternmed.2018.3931\"><span style=\"font-weight: 400;\">estudo<\/span><\/a><span style=\"font-weight: 400;\"> descobriu que o custo m\u00e9dio dos ensaios cl\u00ednicos essenciais que levam \u00e0 aprova\u00e7\u00e3o de medicamentos \u00e9 de $19 milh\u00f5es. A ind\u00fastria deve encontrar maneiras de aumentar a efici\u00eancia dos ensaios cl\u00ednicos, para reduzir este custo. H\u00e1 v\u00e1rias maneiras de se utilizar a an\u00e1lise de dados para aumentar a efici\u00eancia dos ensaios cl\u00ednicos. <\/span><\/p>\n<p><span style=\"font-weight: 400;\"><strong>Tamanhos de amostra maiores:<\/strong> Gra\u00e7as aos recentes avan\u00e7os na capacidade de an\u00e1lise de dados, os ensaios cl\u00ednicos podem agora ter tamanhos de amostra muito maiores. Tamb\u00e9m \u00e9 mais f\u00e1cil identificar padr\u00f5es significativos nos dados que, de outra forma, poderiam faltar. Como resultado destes desenvolvimentos, os dados dos ensaios cl\u00ednicos podem ser mais completos, precisos e confi\u00e1veis, o que \u00e9 importante quando se solicita a MHRA ou <a href=\"https:\/\/blog.kolabtree.com\/how-to-get-fda-approval-4-expert-tips\/\">Aprova\u00e7\u00e3o da FDA<\/a>. <\/span><\/p>\n<p><span style=\"font-weight: 400;\"><strong>Melhor tomada de decis\u00f5es:<\/strong> A an\u00e1lise de dados tamb\u00e9m pode apoiar uma melhor tomada de decis\u00e3o em ensaios cl\u00ednicos. Podemos analisar as tend\u00eancias recentes e prever resultados para tomar melhores decis\u00f5es que aumentam a efici\u00eancia dos ensaios, reduzem os custos e garantem maior seguran\u00e7a aos pacientes. <\/span><\/p>\n<p><span style=\"font-weight: 400;\"><strong>Estudos retrospectivos:<\/strong> Al\u00e9m disso, podemos usar a an\u00e1lise de dados para aproveitar ao m\u00e1ximo cada conjunto de dados. Durante os antigos ensaios cl\u00ednicos, os dados n\u00e3o eram analisados t\u00e3o minuciosamente como seriam agora. Estudos retrospectivos s\u00e3o normalmente realizados para reanalisar estes dados usando t\u00e9cnicas avan\u00e7adas de an\u00e1lise de dados, que podem revelar padr\u00f5es que n\u00e3o foram originalmente identificados. Estudos retrospectivos tamb\u00e9m podem ser conduzidos para testar uma hip\u00f3tese secund\u00e1ria - uma forma acess\u00edvel de obter mais informa\u00e7\u00f5es sobre um medicamento sem coletar mais dados. <\/span><\/p>\n<p><span style=\"font-weight: 400;\"><strong>Dica profissional:<\/strong> O vi\u00e9s de sele\u00e7\u00e3o em um ensaio cl\u00ednico pode invalidar os resultados, portanto, certifique-se de que sua amostra de pacientes represente de forma justa a popula\u00e7\u00e3o que lhe interessa. Voc\u00ea pode evitar o vi\u00e9s de sele\u00e7\u00e3o comparando a demografia de sua amostra com os dados do censo para a popula\u00e7\u00e3o de interesse e garantindo que n\u00e3o haja discrep\u00e2ncias. Se sua amostra for tendenciosa, poder\u00e1 ser poss\u00edvel corrigi-la dando \u00e0s amostras sub-representadas mais peso do que \u00e0s amostras sobre-representadas. <\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"2_Real-time_patient_monitoring\"><\/span><b>2. Monitoramento de pacientes em tempo real<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">\u00c0 medida que o escopo do que podemos fazer com os dados aumenta, o monitoramento de pacientes em tempo real se torna mais vi\u00e1vel. As aplica\u00e7\u00f5es de <a href=\"https:\/\/blog.kolabtree.com\/wearable-technology-changing-the-face-of-healthcare\/\">tecnologia wearable em sa\u00fade<\/a> poderia monitorar os par\u00e2metros do paciente, tais como press\u00e3o arterial e freq\u00fc\u00eancia card\u00edaca, e transmitir informa\u00e7\u00f5es aos profissionais de sa\u00fade atrav\u00e9s da nuvem. Isto poderia reduzir, ou mesmo eliminar, a necessidade de visitas e testes regulares aos pacientes, resultando em consider\u00e1vel economia de custos e aumento da efici\u00eancia dos ensaios cl\u00ednicos.<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"3_Public_health_epidemiology\"><\/span><b>3. Sa\u00fade p\u00fablica e epidemiologia\u00a0<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">A tecnologia de processamento de linguagem natural automatiza a an\u00e1lise de milh\u00f5es de conjuntos de dados m\u00e9dicos, o que facilita a previs\u00e3o e a preven\u00e7\u00e3o de doen\u00e7as. Por exemplo, informa\u00e7\u00f5es de farm\u00e1cias e cl\u00ednicos gerais, sobre prescri\u00e7\u00f5es vendidas e diagn\u00f3sticos feitos, podem ser usadas para detectar um surto de doen\u00e7a e agir rapidamente para evitar que ela se propague ainda mais.<\/span><\/p>\n<p><a href=\"https:\/\/blog.kolabtree.com\/six-ways-biostatistics-transforming-healthcare\/\">Bioestat\u00edsticos<\/a> (estat\u00edsticos que trabalham com dados biol\u00f3gicos e m\u00e9dicos) projetam ativamente pesquisas e avaliam o impacto dos programas de sa\u00fade p\u00fablica. Os estat\u00edsticos t\u00eam historicamente ajudado a fazer correla\u00e7\u00f5es importantes que t\u00eam impactado o mundo - por exemplo, a liga\u00e7\u00e3o entre o tabagismo e o c\u00e2ncer de pulm\u00e3o.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"4_Improving_patient_care\"><\/span>4. Melhorando o atendimento aos pacientes<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-size: 14px;\">No futuro, os registros eletr\u00f4nicos de sa\u00fade (EHR) poder\u00e3o ser totalmente digitais e conectados atrav\u00e9s da nuvem, para que qualquer pessoa com autoriza\u00e7\u00e3o possa acess\u00e1-los. Os pacientes poder\u00e3o receber alertas quando uma consulta estiver marcada, ou quando os resultados dos testes estiverem dispon\u00edveis, e os profissionais de sa\u00fade poder\u00e3o monitorar a sa\u00fade de seus pacientes remotamente. Entretanto, para que esta vis\u00e3o se torne realidade, h\u00e1 v\u00e1rias quest\u00f5es de seguran\u00e7a e confidencialidade de dados a serem abordadas.<\/span><\/p>\n<p>H\u00e1 v\u00e1rios outros casos de uso de cientistas de dados em sa\u00fade, mas o objetivo final \u00e9 o mesmo: melhorar a pesquisa e a presta\u00e7\u00e3o de servi\u00e7os de sa\u00fade, torn\u00e1-la mais acess\u00edvel e acess\u00edvel e acelerar o atendimento e o suporte ao paciente.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Privacy_concerns\"><\/span><b>Quest\u00f5es de privacidade <\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Voc\u00ea deve ter ouvido a hist\u00f3ria de como o varejista americano Target descobriu que uma garota estava gr\u00e1vida antes de contar ao pai. A Target concebeu uma estrat\u00e9gia para prever quais de suas clientes femininas estavam gr\u00e1vidas com base nos itens que elas compraram. Em seguida, enviou a esses clientes material de marketing relacionado a beb\u00eas no correio. Quando uma menina de 17 anos de Minnesota recebeu este material, seus pais ficaram chocados e entraram com uma a\u00e7\u00e3o judicial contra a Target. A mensagem desta hist\u00f3ria \u00e9 estar ciente do potencial de conseq\u00fc\u00eancias n\u00e3o intencionais da an\u00e1lise de dados. <\/span><\/p>\n<p><span style=\"font-weight: 400;\">Outro exemplo de mau uso da an\u00e1lise de dados \u00e9 o recente esc\u00e2ndalo da Cambridge Analytica. A empresa obteve dados pessoais dos perfis de milh\u00f5es de pessoas no Facebook sem seu consentimento e os utilizou para fins pol\u00edticos. <\/span><\/p>\n<p><span style=\"font-weight: 400;\">Os dados de sa\u00fade s\u00e3o informa\u00e7\u00f5es sens\u00edveis que os pacientes confiam a governos, consult\u00f3rios privados, hospitais e ag\u00eancias de sa\u00fade. Se voc\u00ea planeja compartilhar os dados das pessoas, voc\u00ea deve primeiro certificar-se de que elas lhe deram consentimento para compartilhar seus dados como voc\u00ea pretende.\u00a0<\/span><\/p>\n<p>&#8212;<br \/>\n<strong>Procurando contratar um <a href=\"https:\/\/www.kolabtree.com\/services\/data-science-analytics\/?utm_source=Blog&amp;utm_medium=Post&amp;utm_campaign=HealthcareData-Ricci\">cientista de dados freelance<\/a> ou um bioestat\u00edstico? Publique seu projeto no Kolabtree e receba gratuitamente cita\u00e7\u00f5es de especialistas. Voc\u00ea tamb\u00e9m pode entrar em contato com <a href=\"https:\/\/www.kolabtree.com\/find-an-expert\/paul-ricci\/?utm_source=Blog&amp;utm_medium=Post&amp;utm_campaign=HealthcareData-Ricci\">Paul Ricci<\/a> para sua exig\u00eancia.\u00a0<\/strong><\/p>","protected":false},"excerpt":{"rendered":"<p>The healthcare industry has a plethora of data at its fingertips. However, many are yet to put this data to good use.\u00a0 Here Paul Ricci, a freelance data scientist on Kolabtree, explains some use cases of data science in healthcare and how it can improve research and patient care. Healthcare services around the world are<\/p>\n<div class=\"read-more\"><a href=\"https:\/\/www.kolabtree.com\/blog\/pt\/top-4-use-cases-of-data-science-in-healthcare\/\" title=\"Leia mais\">Leia mais<\/a><\/div>","protected":false},"author":12,"featured_media":5695,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[398,443,433],"tags":[],"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>Top 4 Use Cases of Data Science in Healthcare - The Kolabtree Blog<\/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.kolabtree.com\/blog\/pt\/zh\/top-4-use-cases-of-data-science-in-healthcare\/\" \/>\n<meta property=\"og:locale\" content=\"pt_BR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Top 4 Use Cases of Data Science in Healthcare\" \/>\n<meta property=\"og:description\" content=\"The healthcare industry has a plethora of data at its fingertips. 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Healthcare services around the world areRead More\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.kolabtree.com\/blog\/pt\/zh\/top-4-use-cases-of-data-science-in-healthcare\/\" \/>\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=\"2019-06-21T10:46:12+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2019-06-21T11:37:30+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2019\/06\/data-sciences-healthcare.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1280\" \/>\n\t<meta property=\"og:image:height\" content=\"720\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Ramya Sriram\" \/>\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=\"Ramya Sriram\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. tempo de leitura\" \/>\n\t<meta name=\"twitter:data2\" content=\"4 minutos\" \/>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"Top 4 Use Cases of Data Science in Healthcare - The Kolabtree Blog","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.kolabtree.com\/blog\/pt\/zh\/top-4-use-cases-of-data-science-in-healthcare\/","og_locale":"pt_BR","og_type":"article","og_title":"Top 4 Use Cases of Data Science in Healthcare","og_description":"The healthcare industry has a plethora of data at its fingertips. However, many are yet to put this data to good use.\u00a0 Here Paul Ricci, a freelance data scientist on Kolabtree, explains some use cases of data science in healthcare and how it can improve research and patient care. 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