{"id":2509,"date":"2016-01-21T11:39:52","date_gmt":"2016-01-21T11:39:52","guid":{"rendered":"http:\/\/www.iic.uam.es\/\/?page_id=2509"},"modified":"2016-02-22T10:59:00","modified_gmt":"2016-02-22T10:59:00","slug":"analysis-of-frequent-attendance-in-primary-care","status":"publish","type":"page","link":"https:\/\/www.iic.uam.es\/en\/big-data-services\/healthcare-environment\/analysis-of-frequent-attendance-in-primary-care\/","title":{"rendered":"Analysis of Frequent Attendance in Primary Care"},"content":{"rendered":"[vc_row type=&#8221;full_width_section&#8221;][vc_column width=&#8221;1\/1&#8243;][vc_column_text]\n<div id=\"rev_slider_107_1_wrapper\" class=\"rev_slider_wrapper fullwidthbanner-container\" style=\"margin:0px auto;background-color:transparent;padding:0px;margin-top:0px;margin-bottom:0px;\">\n<!-- START REVOLUTION SLIDER 5.0.9 fullwidth mode -->\n\t<div id=\"rev_slider_107_1\" class=\"rev_slider fullwidthabanner\" style=\"display:none;\" data-version=\"5.0.9\">\n<ul>\t<!-- SLIDE  -->\n\t<li data-index=\"rs-148\" data-transition=\"fade\" data-slotamount=\"default\"  data-easein=\"default\" data-easeout=\"default\" data-masterspeed=\"default\"  data-rotate=\"0\"  data-saveperformance=\"off\"  data-title=\"Slide\" data-description=\"\">\n\t\t<!-- MAIN IMAGE -->\n\t\t<img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.iic.uam.es\/wp-content\/uploads\/2015\/12\/fondo-hiperfrecuentadores.jpg\"  alt=\"\"  width=\"1903\" height=\"300\" data-bgposition=\"center center\" data-bgfit=\"cover\" data-bgrepeat=\"no-repeat\" class=\"rev-slidebg\" data-no-retina>\n\t\t<!-- LAYERS -->\n\n\t\t<!-- LAYER NR. 1 -->\n\t\t<div class=\"tp-caption Fashion-BigDisplay   tp-resizeme\" \n\t\t\t id=\"slide-148-layer-1\" \n\t\t\t data-x=\"center\" data-hoffset=\"-1\" \n\t\t\t data-y=\"center\" data-voffset=\"-54\" \n\t\t\t\t\t\tdata-width=\"['880']\"\n\t\t\tdata-height=\"['70']\"\n\t\t\tdata-transform_idle=\"o:1;\"\n \n\t\t\t data-transform_in=\"opacity:0;s:300;e:Power2.easeInOut;\" \n\t\t\t data-transform_out=\"opacity:0;s:300;s:300;\" \n\t\t\tdata-start=\"500\" \n\t\t\tdata-splitin=\"none\" \n\t\t\tdata-splitout=\"none\" \n\t\t\tdata-responsive_offset=\"on\" \n\n\t\t\t\n\t\t\tstyle=\"z-index: 5; 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It is essential to know the aspects related to the social profile of patients, or to their clinical data for a correct management and optimization of resources, as well as to design proactive strategies: their condition, the need of diagnosis tests, polymedication, frequency of attendance, etc.<\/p>\n[\/vc_column_text][\/vc_column][vc_column width=&#8221;1\/2&#8243;][vc_column_text]\n<p style=\"text-align: justify;\">Identifying patterns to divide patients into groups on the basis of healthcare resources needed, and detecting <strong>frequent attenders<\/strong>, among others, are basic to improve patient\u2019s care and clinical management.<\/p>\n[\/vc_column_text][\/vc_column][\/vc_row][vc_row bg_color=&#8221;#f1f1f1&#8243; top_padding=&#8221;40&#8243; bottom_padding=&#8221;40&#8243;][vc_column animation=&#8221;fade-in-from-bottom&#8221; width=&#8221;1\/1&#8243; delay=&#8221;500&#8243;][vc_column_text]\n<h3 style=\"text-align: center;\"><span style=\"color: #9f1700;\">What is the Analysis of Frequent Attendance in Primary Care?<\/span><\/h3>\n[\/vc_column_text][vc_row_inner][vc_column_inner width=&#8221;1\/2&#8243;][vc_column_text]\n<p style=\"text-align: justify;\">The Spanish Society of Primary Care Doctors defines \u201cfrequent attenders\u201d as patients who attend the General Practitioner consultation 12 times a year or more. However accurate this definition might be, it lacks something. It would be necessary to <strong>obtain behaviour patterns from patients<\/strong> and determine the profiles that actually correspond to<strong> frequent attenders<\/strong>.<\/p>\n<p style=\"text-align: justify;\">In order to study <strong>frequent attendance in Primary Care<\/strong>, retrospective patients\u2019 information \u2014contained in databases from multiple healthcare centres\u2014 must be analysed. Usually, the number of covariables for each patient is considerably high, and it requires using machine learning techniques in order to be classified and divided into groups.<\/p>\n[\/vc_column_text][\/vc_column_inner][vc_column_inner width=&#8221;1\/2&#8243;][vc_column_text]\n<p style=\"text-align: justify;\">The study goes beyond a simple data analysis and allows <strong>defining new discriminating variables<\/strong> containing conclusive information to detect whether a patient is a frequent attender or not.<\/p>\n<p style=\"text-align: justify;\">Detecting frequent attenders and being aware of their characteristics is vital to <strong>design proactive strategies<\/strong> that decrease global cost per patient, improve management at Primary Care centres and quality of attention paid to patients.<\/p>\n[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row bg_color=&#8221;#ffffff&#8221; top_padding=&#8221;40&#8243; bottom_padding=&#8221;40&#8243;][vc_column width=&#8221;1\/1&#8243;][vc_column_text]\n<h3 style=\"text-align: center;\"><span style=\"color: #9f1700;\">Why invest in Services Analysing Frequent Attendance?<\/span><\/h3>\n[\/vc_column_text][vc_column_text]\n<p style=\"text-align: justify;\">According to figures from The Spanish Society of Primary Care Doctors (SEMERGEN), frequent attenders consume an average of between 8 and 10 times more healthcare resources than the rest of patients in Spain. The challenge for <strong>healthcare administrations<\/strong> is to rationalise resources for the population maintaining quality of service and keeping workload for healthcare professionals stable.<\/p>\n<p style=\"text-align: justify;\">It is therefore important to get to know who the frequent attenders are, their typology and symptomatology, the centres receiving a higher density of frequent attenders, etc. All this would lead to <strong>manage better<\/strong> their treatment, define new action policies, a better quality of service and lower healthcare costs.<\/p>\n[\/vc_column_text][\/vc_column][\/vc_row][vc_row bg_color=&#8221;#2b99cc&#8221; text_color=&#8221;light&#8221; top_padding=&#8221;15&#8243; bottom_padding=&#8221;15&#8243;][vc_column width=&#8221;1\/1&#8243;][vc_raw_html]JTNDcCUyMHN0eWxlJTNEJTIybGluZS1oZWlnaHQlM0ElMjAyOHB4JTNCJTIwZm9udC13ZWlnaHQlM0ElMjAxMDAlM0IlMjBmb250LWZhbWlseSUzQSUyME9wZW4lMjBTYW5zJTNCJTIwZm9udC1zaXplJTNBJTIwMjBweCUzQiUyMHRleHQtYWxpZ24lM0ElMjBjZW50ZXIlM0IlMjIlM0VJdCUyMGlzJTIwYmFzaWMlMjB0byUyMGltcHJvdmUlMjBwYXRpZW50JUUyJTgwJTk5cyUyMGNhcmUlMjBhbmQlMjBjbGluaWNhbCUyMG1hbmFnZW1lbnQuJTNDJTJGcCUzRQ==[\/vc_raw_html][\/vc_column][\/vc_row][vc_row bg_image=&#8221;2082&#8243; bg_color=&#8221;#ffffff&#8221; top_padding=&#8221;40&#8243; bottom_padding=&#8221;40&#8243;][vc_column width=&#8221;1\/1&#8243;][vc_column_text]\n<p style=\"text-align: center;\"><a href=\"\/en\/more-information\/\" target=\"_self\" class=\"button color-8 large \" style=\"border-radius: 2px;\">MORE INFORMATION<\/a>\n[\/vc_column_text][\/vc_column][\/vc_row]\n","protected":false},"excerpt":{"rendered":"<p>[vc_row type=&#8221;full_width_section&#8221;][vc_column width=&#8221;1\/1&#8243;][vc_column_text][\/vc_column_text][\/vc_column][\/vc_row][vc_row top_padding=&#8221;40&#8243; bottom_padding=&#8221;40&#8243;][vc_column width=&#8221;1\/2&#8243;][vc_column_text] Primary Care is undoubtedly one of the main fields to be considered when dealing with Healthcare. It is essential to know the aspects related to the social profile of patients, or to their clinical data for a correct management and optimization of resources, as well as to design proactive strategies: their condition, the need of diagnosis tests, polymedication, frequency of attendance, etc. [\/vc_column_text][\/vc_column][vc_column width=&#8221;1\/2&#8243;][vc_column_text] Identifying patterns to divide patients into groups on the basis of healthcare resources needed, and detecting frequent attenders, among others, are basic to improve patient\u2019s care and clinical management. [\/vc_column_text][\/vc_column][\/vc_row][vc_row bg_color=&#8221;#f1f1f1&#8243; top_padding=&#8221;40&#8243; bottom_padding=&#8221;40&#8243;][vc_column animation=&#8221;fade-in-from-bottom&#8221; width=&#8221;1\/1&#8243; delay=&#8221;500&#8243;][vc_column_text] What is the Analysis of Frequent Attendance in Primary Care? [\/vc_column_text][vc_row_inner][vc_column_inner width=&#8221;1\/2&#8243;][vc_column_text] The Spanish Society of Primary Care Doctors defines \u201cfrequent attenders\u201d as patients who attend the General Practitioner consultation 12 times a year or more. However accurate this definition might be, it lacks something. It would be necessary to obtain behaviour patterns from patients and determine the profiles that actually correspond to frequent attenders. In order to study frequent attendance in Primary Care, retrospective patients\u2019 information \u2014contained in databases from multiple healthcare centres\u2014 must be analysed. Usually, the number of covariables for each [&hellip;]<\/p>\n","protected":false},"author":4,"featured_media":0,"parent":1761,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-2509","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v23.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Analysis of Frequent Attendance in Primary Care - IIC<\/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.iic.uam.es\/en\/big-data-services\/healthcare-environment\/analysis-of-frequent-attendance-in-primary-care\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Analysis of Frequent Attendance in Primary Care - IIC\" \/>\n<meta property=\"og:description\" content=\"[vc_row type=&#8221;full_width_section&#8221;][vc_column width=&#8221;1\/1&#8243;][vc_column_text][\/vc_column_text][\/vc_column][\/vc_row][vc_row top_padding=&#8221;40&#8243; bottom_padding=&#8221;40&#8243;][vc_column width=&#8221;1\/2&#8243;][vc_column_text] Primary Care is undoubtedly one of the main fields to be considered when dealing with Healthcare. It is essential to know the aspects related to the social profile of patients, or to their clinical data for a correct management and optimization of resources, as well as to design proactive strategies: their condition, the need of diagnosis tests, polymedication, frequency of attendance, etc. [\/vc_column_text][\/vc_column][vc_column width=&#8221;1\/2&#8243;][vc_column_text] Identifying patterns to divide patients into groups on the basis of healthcare resources needed, and detecting frequent attenders, among others, are basic to improve patient\u2019s care and clinical management. [\/vc_column_text][\/vc_column][\/vc_row][vc_row bg_color=&#8221;#f1f1f1&#8243; top_padding=&#8221;40&#8243; bottom_padding=&#8221;40&#8243;][vc_column animation=&#8221;fade-in-from-bottom&#8221; width=&#8221;1\/1&#8243; delay=&#8221;500&#8243;][vc_column_text] What is the Analysis of Frequent Attendance in Primary Care? [\/vc_column_text][vc_row_inner][vc_column_inner width=&#8221;1\/2&#8243;][vc_column_text] The Spanish Society of Primary Care Doctors defines \u201cfrequent attenders\u201d as patients who attend the General Practitioner consultation 12 times a year or more. However accurate this definition might be, it lacks something. It would be necessary to obtain behaviour patterns from patients and determine the profiles that actually correspond to frequent attenders. In order to study frequent attendance in Primary Care, retrospective patients\u2019 information \u2014contained in databases from multiple healthcare centres\u2014 must be analysed. 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It is essential to know the aspects related to the social profile of patients, or to their clinical data for a correct management and optimization of resources, as well as to design proactive strategies: their condition, the need of diagnosis tests, polymedication, frequency of attendance, etc. [\/vc_column_text][\/vc_column][vc_column width=&#8221;1\/2&#8243;][vc_column_text] Identifying patterns to divide patients into groups on the basis of healthcare resources needed, and detecting frequent attenders, among others, are basic to improve patient\u2019s care and clinical management. [\/vc_column_text][\/vc_column][\/vc_row][vc_row bg_color=&#8221;#f1f1f1&#8243; top_padding=&#8221;40&#8243; bottom_padding=&#8221;40&#8243;][vc_column animation=&#8221;fade-in-from-bottom&#8221; width=&#8221;1\/1&#8243; delay=&#8221;500&#8243;][vc_column_text] What is the Analysis of Frequent Attendance in Primary Care? 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