{"id":187623,"date":"2024-08-08T06:30:00","date_gmt":"2024-08-08T05:30:00","guid":{"rendered":"https:\/\/datascientest.com\/en\/?p=187623"},"modified":"2024-08-06T01:09:45","modified_gmt":"2024-08-06T00:09:45","slug":"all-about-healthcare-data-analytics","status":"publish","type":"post","link":"https:\/\/datascientest.com\/en\/all-about-healthcare-data-analytics","title":{"rendered":"What is Healthcare Data Analytics?"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"187623\" class=\"elementor elementor-187623\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-0843ea2 e-flex e-con-boxed e-con\" data-id=\"0843ea2\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-f8c2143 elementor-widget elementor-widget-heading\" data-id=\"f8c2143\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-heading-title{padding:0;margin:0;line-height:1}.elementor-widget-heading .elementor-heading-title[class*=elementor-size-]>a{color:inherit;font-size:inherit;line-height:inherit}.elementor-widget-heading .elementor-heading-title.elementor-size-small{font-size:15px}.elementor-widget-heading .elementor-heading-title.elementor-size-medium{font-size:19px}.elementor-widget-heading .elementor-heading-title.elementor-size-large{font-size:29px}.elementor-widget-heading .elementor-heading-title.elementor-size-xl{font-size:39px}.elementor-widget-heading .elementor-heading-title.elementor-size-xxl{font-size:59px}<\/style><p class=\"elementor-heading-title elementor-size-default\">Healthcare Data Analytics is the analysis of health data produced by the medical sector, driving substantial improvements in care and clinical outcomes. Learn everything you need to know about this groundbreaking field: types of data, analysis methods, concrete applications... here\u2019s how Data Science is transforming the modern medical landscape!<\/p>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-20f3cb6 elementor-widget elementor-widget-text-editor\" data-id=\"20f3cb6\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<p><span style=\"font-weight: 400;\">Since the dawn of time, humanity has endeavored to enhance <\/span><b>health<\/b><span style=\"font-weight: 400;\"> and stretch the boundaries of <\/span><b>medicine<\/b><span style=\"font-weight: 400;\">. From the herbalists of ancient civilizations to contemporary scientific discoveries, the objective has always been consistent.<\/span><\/p><p><span style=\"font-weight: 400;\">The focus is on understanding diseases, discovering effective treatments, and delivering care that prolongs and enhances <\/span><b>human life<\/b><span style=\"font-weight: 400;\">. Every advancement, whether stemming from empirical observation or experimental methods, has contributed to the development and expansion of a vast body of <\/span><b>medical knowledge<\/b><span style=\"font-weight: 400;\">. Now, in the digital age, a new frontier is emerging: data. The plethora of data generated by modern health equipment, personal tracking technologies, and clinical trials provides an immensely valuable source of information.<\/span><\/p><p><span style=\"font-weight: 400;\">When properly collected, analyzed, and interpreted, these data can revolutionize the way we diagnose <\/span><b>diseases<\/b><span style=\"font-weight: 400;\">, administer <\/span><b>treatments<\/b><span style=\"font-weight: 400;\">, and manage <\/span><b>healthcare systems<\/b><span style=\"font-weight: 400;\"> on a global scale. This approach represents a key <a href=\"https:\/\/datascientest.com\/en\/data-science-and-healthcare-the-impact-on-medicine\">to unlocking the hidden potential of medical data<\/a> by merging the capabilities of computing, statistics, and artificial intelligence: this is Healthcare Data Analytics.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-007edb2 elementor-align-center button-principal elementor-widget elementor-widget-button\" data-id=\"007edb2\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-md\" href=\"https:\/\/datascientest.com\/en\/data-analyst-course\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Discover all about data analytics<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-75209ae e-flex e-con-boxed e-con\" data-id=\"75209ae\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-281ac1a elementor-widget elementor-widget-heading\" data-id=\"281ac1a\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">What is health data?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-073fa9f elementor-widget elementor-widget-text-editor\" data-id=\"073fa9f\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">With the advent of computer and digital technologies, the healthcare sector has begun generating a wide array of data.<\/span><\/p><p><span style=\"font-weight: 400;\">Firstly, clinical data includes <\/span><b>Electronic Health Records (EHRs)<\/b><span style=\"font-weight: 400;\">, which encompass detailed information about patients&#8217; medical history, diagnoses, treatments, and laboratory and imaging test results. These data are essential for monitoring patients&#8217; health progress and evaluating the effectiveness of medical interventions, making them central to <\/span><b>Healthcare Data Analytics<\/b><span style=\"font-weight: 400;\">.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c220895 elementor-widget elementor-widget-image\" data-id=\"c220895\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-image{text-align:center}.elementor-widget-image a{display:inline-block}.elementor-widget-image a img[src$=\".svg\"]{width:48px}.elementor-widget-image img{vertical-align:middle;display:inline-block}<\/style>\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"900\" height=\"514\" src=\"https:\/\/datascientest.com\/en\/files\/2024\/07\/Healthcare-Data-Analytics-DataScientest1.jpg\" class=\"attachment-full size-full wp-image-187635\" alt=\"\" srcset=\"https:\/\/datascientest.com\/en\/files\/2024\/07\/Healthcare-Data-Analytics-DataScientest1.jpg 900w, https:\/\/datascientest.com\/en\/files\/2024\/07\/Healthcare-Data-Analytics-DataScientest1-300x171.jpg 300w, https:\/\/datascientest.com\/en\/files\/2024\/07\/Healthcare-Data-Analytics-DataScientest1-768x439.jpg 768w\" sizes=\"(max-width: 900px) 100vw, 900px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-bdf8382 elementor-widget elementor-widget-text-editor\" data-id=\"bdf8382\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Often underappreciated, <\/span><b>administrative data<\/b><span style=\"font-weight: 400;\"> are also highly valuable for optimizing hospital operations. This data includes billing information, diagnostic and treatment codes, and patient admissions and discharge data. Analyzing these helps to <\/span><b>identify trends and inefficiencies<\/b><span style=\"font-weight: 400;\"> in administrative processes, facilitating better resource allocation and cost reduction.<\/span><\/p><p><span style=\"font-weight: 400;\">With the rise of mobile technologies and health tracking devices such as smartwatches, patients themselves are increasingly generating data. Health applications on smartphones, smartwatches, and other <a href=\"https:\/\/datascientest.com\/en\/all-about-smart-sensors\">wearable devices<\/a> collect real-time data on parameters such as heart rate, physical activity levels, and sleep patterns.<\/span><\/p><p><span style=\"font-weight: 400;\">All these data provide insights into daily health and enable <\/span><b>continuous monitoring<\/b><span style=\"font-weight: 400;\">, allowing for timely interventions when necessary. Additionally, clinical trials generate a <a href=\"https:\/\/datascientest.com\/en\/big-data-definition-technologies-uses-and-training\">wealth of data<\/a> that is extremely valuable for <\/span><b>medical research<\/b><span style=\"font-weight: 400;\">. The results of trials, observed side effects, and other detailed information can be utilized.<\/span><\/p><p><span style=\"font-weight: 400;\">By analyzing these data, researchers can ascertain the efficacy and safety of <\/span><b>new treatments and medications<\/b><span style=\"font-weight: 400;\">, thereby expediting the development of novel therapies. Thus, Healthcare Data Analytics enables healthcare professionals to enhance care quality and make the <\/span><b>healthcare system more efficient and patient-centered<\/b><span style=\"font-weight: 400;\">. But how do we accomplish this?<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0ba476b elementor-align-center button-principal elementor-widget elementor-widget-button\" data-id=\"0ba476b\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-md\" href=\"https:\/\/datascientest.com\/en\/data-analyst-course\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Master data analysis<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-340d934 e-flex e-con-boxed e-con\" data-id=\"340d934\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-3a6c636 elementor-widget elementor-widget-heading\" data-id=\"3a6c636\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Different methods of analysis<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1ceac70 elementor-widget elementor-widget-text-editor\" data-id=\"1ceac70\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">The <\/span><b>analysis of health data<\/b><span style=\"font-weight: 400;\"> employs various methods and techniques to extract relevant information from collected data.<\/span><\/p><p><span style=\"font-weight: 400;\">The starting point for <\/span><b>exploring<\/b><span style=\"font-weight: 400;\"> these data is often descriptive analysis. This involves using descriptive statistics like the mean, median, and standard deviation, alongside <a href=\"https:\/\/datascientest.com\/en\/give-meaning-to-your-data-with-data-visualization\">visualization techniques<\/a> such as graphs and tables. These tools help to understand the basic characteristics of the data, identify trends and patterns, and summarize information for easy interpretation.<\/span><\/p><p><span style=\"font-weight: 400;\">On the other hand, diagnostic analysis aims to uncover the underlying causes of health events or clinical outcomes. Advanced statistical techniques are employed to determine factors contributing to certain medical conditions or specific outcomes. For instance, the goal might be to study the <\/span><b>risk factors<\/b><span style=\"font-weight: 400;\"> associated with a particular disease or assess the impact of medical interventions on <\/span><b>patient health<\/b><span style=\"font-weight: 400;\">.<\/span><\/p><p><span style=\"font-weight: 400;\">To forecast future events or health outcomes, one can utilize predictive analysis. This method uses <\/span><b>statistical models<\/b><span style=\"font-weight: 400;\"> and <a href=\"https:\/\/datascientest.com\/en\/digitising-variables-for-your-machine-learning-algorithms\">Machine Learning algorithms<\/a> to predict future events or health outcomes. The idea is to analyze historical data to identify trends and patterns that can be used to anticipate <\/span><b>patient needs<\/b><span style=\"font-weight: 400;\">, foresee medical complications, or optimize treatments. These predictive models could be used, for example, to predict the risk of hospital readmission or recommend personalized adjustments in <\/span><b>treatment plans<\/b><span style=\"font-weight: 400;\">.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c7bd028 elementor-widget elementor-widget-image\" data-id=\"c7bd028\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"900\" height=\"514\" src=\"https:\/\/datascientest.com\/en\/files\/2024\/07\/Healthcare-Data-Analytics-DataScientest2.jpg\" class=\"attachment-full size-full wp-image-187648\" alt=\"\" srcset=\"https:\/\/datascientest.com\/en\/files\/2024\/07\/Healthcare-Data-Analytics-DataScientest2.jpg 900w, https:\/\/datascientest.com\/en\/files\/2024\/07\/Healthcare-Data-Analytics-DataScientest2-300x171.jpg 300w, https:\/\/datascientest.com\/en\/files\/2024\/07\/Healthcare-Data-Analytics-DataScientest2-768x439.jpg 768w\" sizes=\"(max-width: 900px) 100vw, 900px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7804cb7 elementor-widget elementor-widget-text-editor\" data-id=\"7804cb7\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Beyond prediction, prescriptive analysis offers data-driven recommendations to enhance health outcomes.<\/span><\/p><p><span style=\"font-weight: 400;\">It employs advanced methods such as mathematical optimization and simulations to determine the <\/span><b>best actions to take<\/b><span style=\"font-weight: 400;\"> based on specific patient conditions and clinical constraints. This might involve suggesting adjustments in <\/span><b>medication dosages<\/b><span style=\"font-weight: 400;\"> or <\/span><b>chronic disease management strategies<\/b><span style=\"font-weight: 400;\"> to optimize therapeutic outcomes.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-1a5a64b e-flex e-con-boxed e-con\" data-id=\"1a5a64b\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-ed3f64c elementor-widget elementor-widget-heading\" data-id=\"ed3f64c\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">What is it for? <\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5ae854d elementor-widget elementor-widget-text-editor\" data-id=\"5ae854d\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Practical applications of Healthcare Data Analytics are myriad and diverse. Firstly, it enables the <\/span><b>improvement of care quality<\/b><span style=\"font-weight: 400;\">. By identifying inefficient clinical practices and enhancing <\/span><b>adherence to care protocols<\/b><span style=\"font-weight: 400;\">, medical errors can be significantly reduced.<\/span><\/p><p><span style=\"font-weight: 400;\">Moreover, data analysis supports the personalization of treatments by tailoring care plans to individual patient needs. This enhances clinical outcomes. For patients with <\/span><b>chronic diseases<\/b><span style=\"font-weight: 400;\"> such as diabetes or hypertension, data analysis facilitates the continuous monitoring of health parameters.<\/span><\/p><p><span style=\"font-weight: 400;\">This encourages the <\/span><b>early detection<\/b><span style=\"font-weight: 400;\"> of fluctuations, allowing for prompt interventions to prevent complications. Thus, it is an invaluable tool in battling such diseases. Furthermore, by analyzing administrative and operational data, hospitals can <\/span><b>optimize resource management<\/b><span style=\"font-weight: 400;\">.<\/span><\/p><p><span style=\"font-weight: 400;\">This optimization helps reduce patient waiting times and improve the <\/span><b>efficiency of logistical processes<\/b><span style=\"font-weight: 400;\"> such as medication stock management and bed rotation planning. Lastly, in medical research, data analysis assists in identifying emerging trends by providing a deeper understanding of clinical trials. This sets the stage for new discoveries and innovations in the <\/span><b>development of new treatments and therapies<\/b><span style=\"font-weight: 400;\"> through collaborative efforts!<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-955a1b1 elementor-align-center button-principal elementor-widget elementor-widget-button\" data-id=\"955a1b1\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-md\" href=\"https:\/\/datascientest.com\/en\/data-analyst-course\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Follow a Data Science course<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-34758b6 e-flex e-con-boxed e-con\" data-id=\"34758b6\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-328d23a elementor-widget elementor-widget-heading\" data-id=\"328d23a\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">The challenges that remain to be addressed<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8afba45 elementor-widget elementor-widget-text-editor\" data-id=\"8afba45\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Despite the numerous benefits, Healthcare Data Analytics also presents significant challenges that must be addressed to ensure its effectiveness and future security.<\/span><\/p><p><span style=\"font-weight: 400;\">Firstly, <a href=\"https:\/\/datascientest.com\/en\/cyber-attacks-definition-and-modus-operandi\">the protection of personal health information<\/a> is a major concern. Health data are often sensitive, and compromising this information can have severe consequences for patients.<\/span><\/p><p><span style=\"font-weight: 400;\">To prevent cyberattacks and unauthorized access, robust information security measures must be implemented. Compliance with regulations such as <a href=\"https:\/\/datascientest.com\/en\/understanding-gdpr-definition-and-its-crucial-impact-on-businesses\">GDPR in the EU<\/a> and <\/span><b>HIPAA<\/b><span style=\"font-weight: 400;\"> in the United States is essential. Additionally, <a href=\"https:\/\/datascientest.com\/en\/data-quality-10-mistakes-not-to-make\">the accuracy and reliability of health data are critical<\/a>. Without these attributes, analyses cannot be accurate. The challenge lies in <a href=\"https:\/\/datascientest.com\/en\/hello-daniel-what-is-data-normalization\">data normalization<\/a> from diverse sources, <\/span><b>managing errors and inconsistencies<\/b><span style=\"font-weight: 400;\">, and ensuring the completeness of records. Significant effort must be made throughout the analysis process to enhance data quality and maintain its integrity.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ebe9926 elementor-widget elementor-widget-image\" data-id=\"ebe9926\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"900\" height=\"514\" src=\"https:\/\/datascientest.com\/en\/files\/2024\/07\/Healthcare-Data-Analytics-DataScientest3.jpg\" class=\"attachment-full size-full wp-image-187655\" alt=\"\" srcset=\"https:\/\/datascientest.com\/en\/files\/2024\/07\/Healthcare-Data-Analytics-DataScientest3.jpg 900w, https:\/\/datascientest.com\/en\/files\/2024\/07\/Healthcare-Data-Analytics-DataScientest3-300x171.jpg 300w, https:\/\/datascientest.com\/en\/files\/2024\/07\/Healthcare-Data-Analytics-DataScientest3-768x439.jpg 768w\" sizes=\"(max-width: 900px) 100vw, 900px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5e9a914 elementor-widget elementor-widget-text-editor\" data-id=\"5e9a914\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Furthermore, Healthcare Data Analytics necessitates <\/span><b>advanced technologies<\/b><span style=\"font-weight: 400;\"> and a <\/span><b>robust infrastructure<\/b><span style=\"font-weight: 400;\">. This ensures the efficient and secure storage, management, and analysis of large volumes of data. Beyond technical considerations, the use of health data raises important ethical questions.<\/span><\/p><p><span style=\"font-weight: 400;\">How can we ensure <\/span><b>equity in access to care<\/b><span style=\"font-weight: 400;\">? How can we utilize patient data ethically? These are pressing questions for professionals in the field. It is also crucial to minimize potential biases in analysis algorithms and ensure clinical decisions are not influenced by inappropriate factors.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-b61e2b4 e-flex e-con-boxed e-con\" data-id=\"b61e2b4\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-bfd115e elementor-widget elementor-widget-heading\" data-id=\"bfd115e\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Conclusion: Healthcare Data Analytics, the key to strengthening healthcare systems<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ee300bc elementor-widget elementor-widget-text-editor\" data-id=\"ee300bc\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">y presenting significant opportunities to <\/span><b>enhance patient care<\/b><span style=\"font-weight: 400;\">, <\/span><b>optimize hospital operations<\/b><span style=\"font-weight: 400;\">, and promote medical innovation, Healthcare Data Analytics signifies a true revolution in the healthcare sector.<\/span><\/p><p><span style=\"font-weight: 400;\">However, to fully harness its potential, it is critical to address challenges related to <\/span><b>data security<\/b><span style=\"font-weight: 400;\">, technological infrastructure, and ethical considerations. To become an expert in health data analysis, consider choosing DataScientest. <a href=\"https:\/\/datascientest.com\/en\/data-courses\">Our online training courses<\/a> provide you with all the essential skills for <a href=\"https:\/\/datascientest.com\/en\/distinguishing-data-professions-unraveling-the-differences\">careers in Data Science<\/a>.<\/span><\/p><p><span style=\"font-weight: 400;\">You will learn to <\/span><b>collect<\/b><span style=\"font-weight: 400;\">, <\/span><b>transform<\/b><span style=\"font-weight: 400;\">, <\/span><b>analyze data<\/b><span style=\"font-weight: 400;\">, and present it through relevant visualizations. We offer training in <a href=\"https:\/\/datascientest.com\/en\/power-bi-python-harnessing-the-synergy-of-tools-data-science\">handling all the tools and techniques used by Data Analysts, Data Scientists, and Data Engineers<\/a>. Our programs are conducted in BootCamp, continuous training, or work-study formats, leading to a <\/span><b>state-recognized diploma<\/b><span style=\"font-weight: 400;\"> and a <\/span><b>professional certification<\/b><span style=\"font-weight: 400;\">. Our organization is also CPF eligible for funding. <\/span><b>Discover DataScientest!<\/b><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c4e19e1 elementor-align-center button-principal elementor-widget elementor-widget-button\" data-id=\"c4e19e1\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-md\" href=\"https:\/\/datascientest.com\/formation-data-scientist\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Become an expert in Data Science<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d9e12c4 elementor-widget elementor-widget-text-editor\" data-id=\"d9e12c4\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">You now know everything about Healthcare Data Analytics. For more information on the same topic, check out <a href=\"https:\/\/datascientest.com\/en\/data-analysis-definition-use-of-cases-and-tools\">our comprehensive article on data analysis<\/a> and <a href=\"https:\/\/datascientest.com\/en\/data-analyst-job-description\">our guide on the Data Analyst profession<\/a>!<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-6bb03da e-flex e-con-boxed e-con\" data-id=\"6bb03da\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-bc7f0ec elementor-widget elementor-widget-html\" data-id=\"bc7f0ec\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<script type=\"application\/ld+json\">\r\n{\r\n  \"@context\": \"https:\/\/schema.org\",\r\n  \"@type\": \"FAQPage\",\r\n  \"mainEntity\": [{\r\n    \"@type\": \"Question\",\r\n    \"name\": \"What is health data analytics?\",\r\n    \"acceptedAnswer\": {\r\n      \"@type\": \"Answer\",\r\n      \"text\": \"Health data analytics is the process of collecting, transforming, and interpreting medical and health data to extract useful information. This data can come from electronic medical records, clinical studies, wearable health sensors, and other sources. The goal is to improve patient care, optimize hospital operations, develop new therapies, and contribute to medical research.\"\r\n    }\r\n  },{\r\n    \"@type\": \"Question\",\r\n    \"name\": \"What are the benefits of health data analytics?\",\r\n    \"acceptedAnswer\": {\r\n      \"@type\": \"Answer\",\r\n      \"text\": \"The benefits of health data analytics are numerous: \\n - Improved patient care \\n - Cost reduction \\n - Development of new therapies \\n - Medical research\"\r\n    }\r\n  },{\r\n    \"@type\": \"Question\",\r\n    \"name\": \"What are the main methods used in health data analytics?\",\r\n    \"acceptedAnswer\": {\r\n      \"@type\": \"Answer\",\r\n      \"text\": \"\\n - Descriptive statistics: to summarize and describe the characteristics of the data. \\n - Machine learning: to build predictive models from the data. \\n - Survival analysis: to study the time until the occurrence of a particular event (such as remission or death). \\n - Text mining: to extract information from unstructured texts, such as doctors' notes. \\n - Network analysis: to study the relationships between different actors and factors in health systems.\"\r\n    }\r\n  },{\r\n    \"@type\": \"Question\",\r\n    \"name\": \"What are the challenges and ethical considerations in health data analytics?\",\r\n    \"acceptedAnswer\": {\r\n      \"@type\": \"Answer\",\r\n      \"text\": \"Health data analytics presents several challenges and ethical considerations: \\n - Data privacy and security \\n - Informed consent \\n - Bias in data \\n - System interoperability\"\r\n    }\r\n  }]\r\n}\r\n<\/script>\r\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Healthcare Data Analytics is the analysis of health data produced by the medical sector, driving substantial improvements in care and clinical outcomes. Learn everything you need to know about this groundbreaking field: types of data, analysis methods, concrete applications&#8230; here\u2019s how Data Science is transforming the modern medical landscape! Since the dawn of time, humanity [&hellip;]<\/p>\n","protected":false},"author":45,"featured_media":187625,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_theme","format":"standard","meta":{"content-type":"","inline_featured_image":false},"categories":[2425],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v21.7 (Yoast SEO v21.7) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>What is Healthcare Data Analytics?<\/title>\n<meta name=\"description\" content=\"Healthcare Data Analytics is the analysis of health data generated by the medical sector, and it allows for vastly improving care and clinical outcomes. Discover everything you need to know about this revolution: types of data, analysis methods, practical applications... this is how Data Science is redefining the modern medical landscape!\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/datascientest.com\/en\/all-about-healthcare-data-analytics\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"What is Healthcare Data Analytics?\" \/>\n<meta property=\"og:description\" content=\"Healthcare Data Analytics is the analysis of health data produced by the medical sector, driving substantial improvements in care and clinical outcomes.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/datascientest.com\/en\/all-about-healthcare-data-analytics\" \/>\n<meta property=\"og:site_name\" content=\"Data Science Courses | DataScientest\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/DataScientestEN\" \/>\n<meta property=\"article:published_time\" content=\"2024-08-08T05:30:00+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-08-06T00:09:45+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/datascientest.com\/en\/files\/2024\/07\/Healthcare-Data-Analytics-DataScientest.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1200\" \/>\n\t<meta property=\"og:image:height\" content=\"686\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Daniel\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@DataScientest__\" \/>\n<meta name=\"twitter:site\" content=\"@DataScientest__\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Daniel\" \/>\n\t<meta name=\"twitter:label2\" content=\"Estimated reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"7 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/datascientest.com\/en\/all-about-healthcare-data-analytics#article\",\"isPartOf\":{\"@id\":\"https:\/\/datascientest.com\/en\/all-about-healthcare-data-analytics\"},\"author\":{\"name\":\"Daniel\",\"@id\":\"https:\/\/datascientest.com\/en\/#\/schema\/person\/5a86e30c5090234fb43dd8baa83c44b0\"},\"headline\":\"What is Healthcare Data Analytics?\",\"datePublished\":\"2024-08-08T05:30:00+00:00\",\"dateModified\":\"2024-08-06T00:09:45+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/datascientest.com\/en\/all-about-healthcare-data-analytics\"},\"wordCount\":1327,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/datascientest.com\/en\/#organization\"},\"articleSection\":[\"Data Science\"],\"inLanguage\":\"en-GB\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/datascientest.com\/en\/all-about-healthcare-data-analytics#respond\"]}],\"copyrightYear\":\"2024\",\"copyrightHolder\":{\"@id\":\"https:\/\/datascientest.com\/#organization\"}},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/datascientest.com\/en\/all-about-healthcare-data-analytics\",\"url\":\"https:\/\/datascientest.com\/en\/all-about-healthcare-data-analytics\",\"name\":\"What is Healthcare Data Analytics?\",\"isPartOf\":{\"@id\":\"https:\/\/datascientest.com\/en\/#website\"},\"datePublished\":\"2024-08-08T05:30:00+00:00\",\"dateModified\":\"2024-08-06T00:09:45+00:00\",\"description\":\"Healthcare Data Analytics is the analysis of health data generated by the medical sector, and it allows for vastly improving care and clinical outcomes. Discover everything you need to know about this revolution: types of data, analysis methods, practical applications... this is how Data Science is redefining the modern medical landscape!\",\"inLanguage\":\"en-GB\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/datascientest.com\/en\/all-about-healthcare-data-analytics\"]}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/datascientest.com\/en\/#website\",\"url\":\"https:\/\/datascientest.com\/en\/\",\"name\":\"Data Science Courses | DataScientest\",\"description\":\"Leader in Data Science Courses\",\"publisher\":{\"@id\":\"https:\/\/datascientest.com\/en\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/datascientest.com\/en\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"en-GB\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/datascientest.com\/en\/#organization\",\"name\":\"DataScientest\",\"url\":\"https:\/\/datascientest.com\/en\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-GB\",\"@id\":\"https:\/\/datascientest.com\/en\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/datascientest.com\/en\/wp-content\/blogs.dir\/9\/files\/2024\/02\/DataScientest_icon_blue-2.png\",\"contentUrl\":\"https:\/\/datascientest.com\/en\/wp-content\/blogs.dir\/9\/files\/2024\/02\/DataScientest_icon_blue-2.png\",\"width\":301,\"height\":301,\"caption\":\"DataScientest\"},\"image\":{\"@id\":\"https:\/\/datascientest.com\/en\/#\/schema\/logo\/image\/\"},\"sameAs\":[\"https:\/\/www.facebook.com\/DataScientestEN\",\"https:\/\/twitter.com\/DataScientest__\",\"https:\/\/www.linkedin.com\/school\/datascientest\/mycompany\/\",\"https:\/\/www.tiktok.com\/@datascientest\"]},{\"@type\":\"Person\",\"@id\":\"https:\/\/datascientest.com\/en\/#\/schema\/person\/5a86e30c5090234fb43dd8baa83c44b0\",\"name\":\"Daniel\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-GB\",\"@id\":\"https:\/\/datascientest.com\/en\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/secure.gravatar.com\/avatar\/837acad4f2dc47e85d81cce837261670?s=96&d=mm&r=g\",\"contentUrl\":\"https:\/\/secure.gravatar.com\/avatar\/837acad4f2dc47e85d81cce837261670?s=96&d=mm&r=g\",\"caption\":\"Daniel\"},\"sameAs\":[\"https:\/\/www.linkedin.com\/school\/datascientest\/\",\"user\"],\"jobTitle\":\"ing\u00e9nieur logiciel\",\"worksFor\":\"DataScientest\",\"url\":\"https:\/\/datascientest.com\/en\/author\/team-redac\"}]}<\/script>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"What is Healthcare Data Analytics?","description":"Healthcare Data Analytics is the analysis of health data generated by the medical sector, and it allows for vastly improving care and clinical outcomes. Discover everything you need to know about this revolution: types of data, analysis methods, practical applications... this is how Data Science is redefining the modern medical landscape!","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:\/\/datascientest.com\/en\/all-about-healthcare-data-analytics","og_locale":"en_GB","og_type":"article","og_title":"What is Healthcare Data Analytics?","og_description":"Healthcare Data Analytics is the analysis of health data produced by the medical sector, driving substantial improvements in care and clinical outcomes.","og_url":"https:\/\/datascientest.com\/en\/all-about-healthcare-data-analytics","og_site_name":"Data Science Courses | DataScientest","article_publisher":"https:\/\/www.facebook.com\/DataScientestEN","article_published_time":"2024-08-08T05:30:00+00:00","article_modified_time":"2024-08-06T00:09:45+00:00","og_image":[{"width":1200,"height":686,"url":"https:\/\/datascientest.com\/en\/files\/2024\/07\/Healthcare-Data-Analytics-DataScientest.jpg","type":"image\/jpeg"}],"author":"Daniel","twitter_card":"summary_large_image","twitter_creator":"@DataScientest__","twitter_site":"@DataScientest__","twitter_misc":{"Written by":"Daniel","Estimated reading time":"7 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/datascientest.com\/en\/all-about-healthcare-data-analytics#article","isPartOf":{"@id":"https:\/\/datascientest.com\/en\/all-about-healthcare-data-analytics"},"author":{"name":"Daniel","@id":"https:\/\/datascientest.com\/en\/#\/schema\/person\/5a86e30c5090234fb43dd8baa83c44b0"},"headline":"What is Healthcare Data Analytics?","datePublished":"2024-08-08T05:30:00+00:00","dateModified":"2024-08-06T00:09:45+00:00","mainEntityOfPage":{"@id":"https:\/\/datascientest.com\/en\/all-about-healthcare-data-analytics"},"wordCount":1327,"commentCount":0,"publisher":{"@id":"https:\/\/datascientest.com\/en\/#organization"},"articleSection":["Data Science"],"inLanguage":"en-GB","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/datascientest.com\/en\/all-about-healthcare-data-analytics#respond"]}],"copyrightYear":"2024","copyrightHolder":{"@id":"https:\/\/datascientest.com\/#organization"}},{"@type":"WebPage","@id":"https:\/\/datascientest.com\/en\/all-about-healthcare-data-analytics","url":"https:\/\/datascientest.com\/en\/all-about-healthcare-data-analytics","name":"What is Healthcare Data Analytics?","isPartOf":{"@id":"https:\/\/datascientest.com\/en\/#website"},"datePublished":"2024-08-08T05:30:00+00:00","dateModified":"2024-08-06T00:09:45+00:00","description":"Healthcare Data Analytics is the analysis of health data generated by the medical sector, and it allows for vastly improving care and clinical outcomes. Discover everything you need to know about this revolution: types of data, analysis methods, practical applications... this is how Data Science is redefining the modern medical landscape!","inLanguage":"en-GB","potentialAction":[{"@type":"ReadAction","target":["https:\/\/datascientest.com\/en\/all-about-healthcare-data-analytics"]}]},{"@type":"WebSite","@id":"https:\/\/datascientest.com\/en\/#website","url":"https:\/\/datascientest.com\/en\/","name":"Data Science Courses | DataScientest","description":"Leader in Data Science Courses","publisher":{"@id":"https:\/\/datascientest.com\/en\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/datascientest.com\/en\/?s={search_term_string}"},"query-input":"required name=search_term_string"}],"inLanguage":"en-GB"},{"@type":"Organization","@id":"https:\/\/datascientest.com\/en\/#organization","name":"DataScientest","url":"https:\/\/datascientest.com\/en\/","logo":{"@type":"ImageObject","inLanguage":"en-GB","@id":"https:\/\/datascientest.com\/en\/#\/schema\/logo\/image\/","url":"https:\/\/datascientest.com\/en\/wp-content\/blogs.dir\/9\/files\/2024\/02\/DataScientest_icon_blue-2.png","contentUrl":"https:\/\/datascientest.com\/en\/wp-content\/blogs.dir\/9\/files\/2024\/02\/DataScientest_icon_blue-2.png","width":301,"height":301,"caption":"DataScientest"},"image":{"@id":"https:\/\/datascientest.com\/en\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/DataScientestEN","https:\/\/twitter.com\/DataScientest__","https:\/\/www.linkedin.com\/school\/datascientest\/mycompany\/","https:\/\/www.tiktok.com\/@datascientest"]},{"@type":"Person","@id":"https:\/\/datascientest.com\/en\/#\/schema\/person\/5a86e30c5090234fb43dd8baa83c44b0","name":"Daniel","image":{"@type":"ImageObject","inLanguage":"en-GB","@id":"https:\/\/datascientest.com\/en\/#\/schema\/person\/image\/","url":"https:\/\/secure.gravatar.com\/avatar\/837acad4f2dc47e85d81cce837261670?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/837acad4f2dc47e85d81cce837261670?s=96&d=mm&r=g","caption":"Daniel"},"sameAs":["https:\/\/www.linkedin.com\/school\/datascientest\/","user"],"jobTitle":"ing\u00e9nieur logiciel","worksFor":"DataScientest","url":"https:\/\/datascientest.com\/en\/author\/team-redac"}]}},"_links":{"self":[{"href":"https:\/\/datascientest.com\/en\/wp-json\/wp\/v2\/posts\/187623"}],"collection":[{"href":"https:\/\/datascientest.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/datascientest.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/datascientest.com\/en\/wp-json\/wp\/v2\/users\/45"}],"replies":[{"embeddable":true,"href":"https:\/\/datascientest.com\/en\/wp-json\/wp\/v2\/comments?post=187623"}],"version-history":[{"count":0,"href":"https:\/\/datascientest.com\/en\/wp-json\/wp\/v2\/posts\/187623\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/datascientest.com\/en\/wp-json\/wp\/v2\/media\/187625"}],"wp:attachment":[{"href":"https:\/\/datascientest.com\/en\/wp-json\/wp\/v2\/media?parent=187623"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/datascientest.com\/en\/wp-json\/wp\/v2\/categories?post=187623"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/datascientest.com\/en\/wp-json\/wp\/v2\/tags?post=187623"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}