{"id":8343,"date":"2020-10-09T09:23:28","date_gmt":"2020-10-09T09:23:28","guid":{"rendered":"https:\/\/www.kolabtree.com\/blog\/?p=8343"},"modified":"2020-12-04T11:06:37","modified_gmt":"2020-12-04T11:06:37","slug":"applications-of-data-analytics-in-healthcare","status":"publish","type":"post","link":"https:\/\/www.kolabtree.com\/blog\/applications-of-data-analytics-in-healthcare\/","title":{"rendered":"Applications of Data Analytics in Healthcare"},"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\">Table of Contents<\/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-69f153e011a63\" 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-69f153e011a63\"><\/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\/applications-of-data-analytics-in-healthcare\/#Applications_of_data_science_in_healthcare\" title=\"Applications of data science in healthcare\">Applications of data science in healthcare<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/www.kolabtree.com\/blog\/applications-of-data-analytics-in-healthcare\/#Drug_Discovery\" title=\"Drug Discovery\">Drug Discovery<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/www.kolabtree.com\/blog\/applications-of-data-analytics-in-healthcare\/#Disease_Prevention\" title=\"Disease Prevention\">Disease Prevention<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/www.kolabtree.com\/blog\/applications-of-data-analytics-in-healthcare\/#Diagnosis_and_Treatment\" title=\"Diagnosis and Treatment\">Diagnosis and Treatment<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/www.kolabtree.com\/blog\/applications-of-data-analytics-in-healthcare\/#Post-Care_Monitoring\" title=\"Post-Care Monitoring\">Post-Care Monitoring<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/www.kolabtree.com\/blog\/applications-of-data-analytics-in-healthcare\/#Hospital_Operations\" title=\"Hospital Operations\">Hospital Operations<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/www.kolabtree.com\/blog\/applications-of-data-analytics-in-healthcare\/#The_future_of_data_science_in_healthcare\" title=\"The future of data science in healthcare\">The future of data science in healthcare<\/a><\/li><\/ul><\/nav><\/div>\n<p><em>Nikita N., freelance scientific writer on Kolabtree, outlines the top applications of data analytics in <a href=\"https:\/\/www.kolabtree.com\/blog\/ensuring-reproducibility-in-ai-driven-research-how-freelance-experts-can-help-in-biotech-and-healthcare\/\">healthcare<\/a>.\u00a0<\/em><\/p>\n<p><span style=\"font-weight: 400;\">The term \u201cData analytics\u201d is the practice of accumulating vast quantities of data, which are analyzed and essential insights are drawn from the information contained. Nowadays, new software and technologies make it easier to examine large volumes of data for hidden details.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Off late, the healthcare industry has become increasingly demanding. The increase in the number of patients has made it difficult for doctors and staff members to manage work efficiently. According to a McKinsey analysis report, health-care expenses for the USA are <\/span><a href=\"https:\/\/www.statista.com\/statistics\/184968\/us-health-expenditure-as-percent-of-gdp-since-1960\/\"><span style=\"font-weight: 400;\">17.6%<\/span><\/a><span style=\"font-weight: 400;\"> of GDP, which is almost $600 billion more than the benchmark of the United States\u2019 wealth and size. With the rise in such needs, data analytics can serve as a promising solution to solve issues in the healthcare industry. According to market analysis, the data analytics sector is expected to be more than <\/span><a href=\"https:\/\/healthitanalytics.com\/news\/deep-learning-blockchain-big-data-to-see-huge-growth-in-healthcare\"><span style=\"font-weight: 400;\">$68.03<\/span><\/a><span style=\"font-weight: 400;\"> billion by 2024. The target healthcare sectors where data analytics can bring a significant change include Drug Discovery, Disease Prevention, Diagnosis, Treatment, Post-Care Monitoring, Hospital Operations.\u00a0<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Applications_of_data_science_in_healthcare\"><\/span>Applications of data science in healthcare<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<h3><span class=\"ez-toc-section\" id=\"Drug_Discovery\"><\/span><strong>Drug Discovery<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Generally, the drug discovery process takes a long time, about 12 years, and costs way too much, about <\/span><a href=\"https:\/\/www.policymed.com\/2014\/12\/a-tough-road-cost-to-develop-one-new-drug-is-26-billion-approval-rate-for-drugs-entering-clinical-de.html\"><span style=\"font-weight: 400;\">$2.6 billion<\/span><\/a><span style=\"font-weight: 400;\">. Data analytics increases the drug delivery process rate in medical science, helping to gain faster approval in the Food and Drug Administration and curing patients faster. <\/span><span style=\"font-weight: 400;\">Quite a few companies are developing artificial intelligent machines for applications in various sectors. For example, the company BenevolentAI has developed different artificial smart devices such as a <\/span><a href=\"https:\/\/www.prnewswire.com\/news-releases\/benevolentai-raises-115-million-to-extend-its-leading-global-position-in-the-field-of-ai-enabled-drug-development-680180573.html\"><span style=\"font-weight: 400;\">bioscience machine brain<\/span><\/a><span style=\"font-weight: 400;\"> and other model algorithms to create new medicines for hard to treat diseases. The organization is an example of a fully integrated AI company with clinical development and pharmaceutical discovering capabilities. The technology revolutionizes pharmaceutical industries by lowering costs, decreasing failure rates, and delivering medicines to the patients at a faster pace.\u00a0<\/span><\/p>\n<h3><span class=\"ez-toc-section\" id=\"Disease_Prevention\"><\/span><strong>Disease Prevention<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Data analytics prevents diseases by early recognition of risks, and the tools also recommend preventive plans. Various smart devices using data analytics use people\u2019s genetic information and historical patterns to recognize issues before it gets out of hand.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Various companies are developing smart devices that use data analytics to analyze patients\u2019\u00a0 various behavior plans at an early stage, which can help prevent diseases such as chronic health conditions, such as diabetes, hypertension, and high cholesterol at an early stage.\u00a0<\/span><\/p>\n<h3><span class=\"ez-toc-section\" id=\"Diagnosis_and_Treatment\"><\/span><strong>Diagnosis and Treatment<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Another useful application of data science in healthcare is medical imaging, wherein the algorithms efficiently interpret <\/span><span style=\"font-weight: 400;\">X-rays, MRIs, mammographies, and other types of images, which helps in the identification of patterns in the data and detection of tumors, organ anomalies, artery stenosis clearer. <\/span><span style=\"font-weight: 400;\">\u00a0Data analytics algorithm models can diagnose irregular heart rhythms<\/span><span style=\"font-weight: 400;\"> from ECGs faster than a cardiologist and clearly distinguish between images of malignant lesions and benign skin marks.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Today&#8217;s treatment in healthcare has become more comfortable with the availability of more data on individual patient characteristics, enabling the delivery of more precise prescription data and personalized care. Data science is enhancing the emerging field of gene therapy. Inserting genetic material into cells and replacing traditional drugs is more manageable than before.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Analytics consulting companies like <\/span><a href=\"https:\/\/www.bain.com\/vector-digital\/advanced-analytics\/%C2%A0\"><span style=\"font-weight: 400;\">Bain<\/span><\/a><span style=\"font-weight: 400;\"> or <\/span><a href=\"https:\/\/www.scnsoft.com\/services\/analytics\/consulting\"><span style=\"font-weight: 400;\">ScienceSoft<\/span><\/a><span style=\"font-weight: 400;\"> can develop data analytics software for various industries, including the healthcare industry.\u00a0 <\/span><span style=\"font-weight: 400;\">There exists a lack of patient-caregiver communication between appointments and a lack of patient engagement for patients with various chronic diseases such as diabetes, asthma, cardiovascular diseases. The software received from the EHR and a patient, analyzes the health data, and alters care team members or the patients for effective solutions. It&#8217;s <\/span><span style=\"font-weight: 400;\">mobile patient application, and an EMR-integrated desktop application enable whether prescribed medicine conflicts with a patient\u2019s current condition and disease.<\/span><span style=\"font-weight: 400;\"> The data analytics software helps manage cost by tracking expenses on treating the condition over the full cycle of care. It finds opportunities to substantially reduce costs without negatively affecting outcomes, and compare costs of caring for a condition with the results<\/span><span style=\"font-weight: 400;\">. <\/span><\/p>\n<blockquote><p><span style=\"font-weight: 400;\">Companies such as NextBio are developing data analytics models to customize patient&#8217;s treatment as well and provide more available options by examining previous clinical and genomic data. For example, radiation therapy is the only form of treatment for cancer patients. Data analytics models provide customized treatment and offer alternative treatment methods.\u00a0<\/span><\/p><\/blockquote>\n<h3><span class=\"ez-toc-section\" id=\"Post-Care_Monitoring\"><\/span><strong>Post-Care Monitoring<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Another area where data analytics finds interesting applications is for treating home-based patients. Generally, after surgeries, patients complain of complications and recurring pain, which is difficult for doctors to manage when they leave the hospital. The application of data analytics in Remote in-home monitoring makes it easier for doctors to stay in touch with patients. Hence, cutting down the need for expensive hospital resources. For example, based on the EMR data, <\/span><span style=\"font-weight: 400;\">hospitals can predict when the patients would need to be readmitted in the next 30 days,\u00a0<\/span><\/p>\n<h3><span class=\"ez-toc-section\" id=\"Hospital_Operations\"><\/span><strong>Hospital Operations<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Data analytics help to enhance the workforce of the staff members at Hospitals by assigning them certain hours, ensuring enough hospital beds are available, enhancing utilization in the operating room. Another data analytics tool, i.e., Predictive analytics, can optimize scheduling.\u00a0<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"The_future_of_data_science_in_healthcare\"><\/span><strong>The future of data science in healthcare<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Just like every industry, the usage of data science in healthcare has its pros and cons. The data in hospitals and administrative units are generally in a desperate state. It is challenging to integrate data analytics into the healthcare system. Patients are concerned about the privacy and protection of their health information<\/span><span style=\"font-weight: 400;\">. There is no dearth of doubt that data science can solve the shortage of doctors. However, many people are concerned about losing the patient-doctor relation to computer algorithms. <\/span><span style=\"font-weight: 400;\">Nevertheless, the amalgamation of data analytics and healthcare is expected to grow in the coming years.<\/span><span style=\"font-weight: 400;\"> Market analysis reveals that data analytics in healthcare will reach <\/span><a href=\"http:\/\/www.abnewswire.com\/pressreleases\/big-data-in-healthcare-2017-global-market-to-reach-us-3427-billion-and-growing-at-cagr-of-2207-by-2022_149937.html\"><span style=\"font-weight: 400;\">$34.27 billion<\/span><\/a><span style=\"font-weight: 400;\"> by 2022 at a CAGR of 22.07%.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Indeed, data science is one avenue to enhance the quality of the healthcare sector by having applications in early diagnosis of diseases, medical imaging, faster drug discovery, and handling complex hospital operations in rural areas as well, helping to cure significant diseases such as AIDS, cancer, and Ebola.\u00a0<\/span><\/p>\n<p><strong>Need to hire a health data analyst? View<a href=\"https:\/\/www.kolabtree.com\/find-an-expert\/subject\/health-data-analysis\/?utm_source=Blog&amp;utm_medium=Post&amp;utm_campaign=DA-Healthcare\"> health data analysts<\/a> on Kolabtree or post your project for free. <a href=\"https:\/\/www.kolabtree.com\/create-project\/?utm_source=Blog&amp;utm_medium=Post&amp;utm_campaign=DA-Healthcare\">POST A PROJECT NOW<\/a><\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Nikita N., freelance scientific writer on Kolabtree, outlines the top applications of data analytics in healthcare.\u00a0 The term \u201cData analytics\u201d is the practice of accumulating vast quantities of data, which are analyzed and essential insights are drawn from the information contained. Nowadays, new software and technologies make it easier to examine large volumes of data<\/p>\n<div class=\"read-more\"><a href=\"https:\/\/www.kolabtree.com\/blog\/applications-of-data-analytics-in-healthcare\/\" title=\"Read More\">Read More<\/a><\/div>\n","protected":false},"author":12,"featured_media":8403,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[434,398,443,653,433],"tags":[180,651],"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>Applications of Data Analytics in Healthcare - The Kolabtree Blog<\/title>\n<meta name=\"description\" content=\"From drug discovery to more accurate diagnoses, the top applications of data analytics in healthcare.\" \/>\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\/applications-of-data-analytics-in-healthcare\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Applications of Data Analytics in Healthcare\" \/>\n<meta property=\"og:description\" content=\"From drug discovery to more accurate diagnoses, the top applications of data analytics in healthcare.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.kolabtree.com\/blog\/applications-of-data-analytics-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=\"2020-10-09T09:23:28+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2020-12-04T11:06:37+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2020\/09\/health-data-analyst.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"626\" \/>\n\t<meta property=\"og:image:height\" content=\"417\" \/>\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=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Ramya Sriram\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"5 minutes\" \/>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"Applications of Data Analytics in Healthcare - 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