{"id":472,"date":"2024-01-16T17:20:11","date_gmt":"2024-01-16T16:20:11","guid":{"rendered":"https:\/\/www.talence.it\/?p=472"},"modified":"2024-04-29T12:41:44","modified_gmt":"2024-04-29T11:41:44","slug":"de-identificazione-dei-dati-sanitari","status":"publish","type":"post","link":"https:\/\/www.talence.it\/en\/2024\/01\/de-identificazione-dei-dati-sanitari\/","title":{"rendered":"De-identification of health data"},"content":{"rendered":"<div id='layer_slider_1'  class='avia-layerslider main_color avia-shadow  avia-builder-el-0  el_before_av_section  avia-builder-el-first  container_wrap fullsize'  style='height: 721px; max-width: 1280px; margin: 0 auto;'  ><\/div>\n<div id='large'  class='avia-section av-1m6c74-5762ea270d1671151fcb034fdff2fe5c alternate_color avia-section-default avia-no-border-styling  avia-builder-el-1  el_after_av_layerslider  el_before_av_section  hide-on-small avia-bg-style-scroll container_wrap fullsize'  ><div class='container av-section-cont-open' ><div class='template-page content  av-content-full alpha units'><div class='post-entry post-entry-type-page post-entry-472'><div class='entry-content-wrapper clearfix'>\n<div class='flex_column_table av-lrgkmo0p-fdc0fed4487d3a178482a13a7729bae7 sc-av_one_fifth av-equal-height-column-flextable shadow-not-animated'>\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-lrgkmo0p-fdc0fed4487d3a178482a13a7729bae7\">\n@keyframes av_boxShadowEffect_av-lrgkmo0p-fdc0fed4487d3a178482a13a7729bae7-row {\n0%   { box-shadow:  0 0 0 0 #444444; 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opacity: 1; }\n100% { box-shadow:  0 0 10px 0 #444444; opacity: 1; }\n}\n.flex_column_table.av-equal-height-column-flextable.av-lrgoqp5e-d7807d811f1a4132782c5c0adefc36be{\nbox-shadow: 0 0 10px 0 #444444;\n}\n.flex_column.av-lrgoqp5e-d7807d811f1a4132782c5c0adefc36be{\nborder-radius:0 0 0 0;\npadding:10px 10px 10px 10px;\nbackground-color:#4d21b4;\nbackground:linear-gradient( to bottom right, #4d21b4, #652dc1, #622fd9 );\n}\n<\/style>\n<div  class='flex_column av-lrgoqp5e-d7807d811f1a4132782c5c0adefc36be av_three_fifth  avia-builder-el-4  el_after_av_one_fifth  el_before_av_one_fifth  no_margin flex_column_table_cell av-equal-height-column av-align-middle'     ><style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-lrgkhg68-bbc9f82bebfb639f3528c9c111246e96\">\n#top .av-special-heading.av-lrgkhg68-bbc9f82bebfb639f3528c9c111246e96{\nmargin:50px 50px 50px 50px;\ncolor:#cccccc;\nfont-size:30px;\n}\nbody .av-special-heading.av-lrgkhg68-bbc9f82bebfb639f3528c9c111246e96 .av-special-heading-tag .heading-char{\nfont-size:25px;\n}\n#top #wrap_all .av-special-heading.av-lrgkhg68-bbc9f82bebfb639f3528c9c111246e96 .av-special-heading-tag{\nfont-size:30px;\npadding:20px 0 40px 0;\n}\n.av-special-heading.av-lrgkhg68-bbc9f82bebfb639f3528c9c111246e96 .special-heading-inner-border{\nborder-color:#cccccc;\n}\n.av-special-heading.av-lrgkhg68-bbc9f82bebfb639f3528c9c111246e96 .av-subheading{\nfont-size:20px;\n}\n\n@media only screen and (min-width: 480px) and (max-width: 767px){ \n#top #wrap_all .av-special-heading.av-lrgkhg68-bbc9f82bebfb639f3528c9c111246e96 .av-special-heading-tag{\nfont-size:0.8em;\n}\n}\n\n@media only screen and (max-width: 479px){ \n#top #wrap_all .av-special-heading.av-lrgkhg68-bbc9f82bebfb639f3528c9c111246e96 .av-special-heading-tag{\nfont-size:0.8em;\n}\n}\n<\/style>\n<div  class='av-special-heading av-lrgkhg68-bbc9f82bebfb639f3528c9c111246e96 av-special-heading-h1 custom-color-heading blockquote modern-quote modern-centered  avia-builder-el-5  avia-builder-el-no-sibling  av-inherit-size'><h1 class='av-special-heading-tag'  itemprop=\"headline\"  >De-identification of health data<\/h1><div class='av_custom_color av-subheading av-subheading_below'><p>Our software deidentificazione health data end-to-end turnkey, fully customizable, effectively tackles these challenges with the power of natural language processing (NLP).<\/p>\n<\/div><div class=\"special-heading-border\"><div class=\"special-heading-inner-border\"><\/div><\/div><\/div><\/div>\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-1gv9c8-a574e2590c15af913bde8d84eff7d582\">\n@keyframes av_boxShadowEffect_av-1gv9c8-a574e2590c15af913bde8d84eff7d582-row {\n0%   { box-shadow:  0 0 0 0 #444444; 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Autoclose: 1 --><div  class='flex_column av-7xp34-0105babb5ce83104e0242d501879950a av_one_half  avia-builder-el-8  el_after_av_one_fifth  el_before_av_one_half  first flex_column_div  column-top-margin'     ><style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-lrgmsd1x-827c7f7402f981f2ebb924775d6f8cad\">\n.avia-image-container.av-lrgmsd1x-827c7f7402f981f2ebb924775d6f8cad img.avia_image{\nbox-shadow:none;\n}\n.avia-image-container.av-lrgmsd1x-827c7f7402f981f2ebb924775d6f8cad .av-image-caption-overlay-center{\ncolor:#ffffff;\n}\n<\/style>\n<div  class='avia-image-container av-lrgmsd1x-827c7f7402f981f2ebb924775d6f8cad av-styling- avia-align-center  avia-builder-el-9  avia-builder-el-no-sibling'   itemprop=\"image\" itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/ImageObject\" ><div class=\"avia-image-container-inner\"><div class=\"avia-image-overlay-wrap\"><img decoding=\"async\" fetchpriority=\"high\" class='wp-image-499 avia-img-lazy-loading-not-499 avia_image' src=\"https:\/\/www.talence.it\/wp-content\/uploads\/2024\/01\/brain-2-1.jpg\" alt='' title='brain 2'  height=\"720\" width=\"1280\"  itemprop=\"thumbnailUrl\" srcset=\"https:\/\/www.talence.it\/wp-content\/uploads\/2024\/01\/brain-2-1.jpg 1280w, https:\/\/www.talence.it\/wp-content\/uploads\/2024\/01\/brain-2-1-300x169.jpg 300w, https:\/\/www.talence.it\/wp-content\/uploads\/2024\/01\/brain-2-1-1030x579.jpg 1030w, https:\/\/www.talence.it\/wp-content\/uploads\/2024\/01\/brain-2-1-768x432.jpg 768w, https:\/\/www.talence.it\/wp-content\/uploads\/2024\/01\/brain-2-1-705x397.jpg 705w\" sizes=\"(max-width: 1280px) 100vw, 1280px\" \/><\/div><\/div><\/div><\/div><div  class='flex_column av-croz4-3a4eccfae6922ed2044fd36e2a60f910 av_one_half  avia-builder-el-10  el_after_av_one_half  el_before_av_hr  flex_column_div  column-top-margin'     ><style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-lrgk5dpj-f1f9441ab0d674c9dd93e9606f69c4cc\">\n#top .togglecontainer.av-lrgk5dpj-f1f9441ab0d674c9dd93e9606f69c4cc p.toggler{\nfont-size:25px;\n}\n#top .togglecontainer.av-lrgk5dpj-f1f9441ab0d674c9dd93e9606f69c4cc .toggle_wrap .toggle_content{\nfont-size:20px;\n}\n<\/style>\n<div  class='togglecontainer av-lrgk5dpj-f1f9441ab0d674c9dd93e9606f69c4cc av-elegant-toggle  avia-builder-el-11  avia-builder-el-no-sibling  toggle_close_all' >\n<section class='av_toggle_section av-lrgk4ufk-c3cfa8da133d2846a1fb6f9b79312d11'  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/BlogPosting\" itemprop=\"blogPost\" ><div role=\"tablist\" class=\"single_toggle\" data-tags=\"{All} \"  ><p id='toggle-toggle-id-1' data-fake-id='#toggle-id-1' class='toggler  av-title-above'  itemprop=\"headline\"  role='tab' tabindex='0' aria-controls='toggle-id-1' data-slide-speed=\"200\" data-title=\"Introduzione\" data-title-open=\"\" data-aria_collapsed=\"Click to expand: Introduzione\" data-aria_expanded=\"Click to collapse: Introduzione\">Introduction<span class=\"toggle_icon\"><span class=\"vert_icon\"><\/span><span class=\"hor_icon\"><\/span><\/span><\/p><div id='toggle-id-1' aria-labelledby='toggle-toggle-id-1' role='region' class='toggle_wrap  av-title-above'  ><div class='toggle_content invers-color'  itemprop=\"text\" ><p>With the increasing number of personal data produced and stored by organizations, the data privacy is becoming a growing priority. The data support the cutting-edge research, drive innovation and help in the development of solutions to real-world problems. This is particularly true in the health sector.<\/p>\n<p>The right type, amount and quality of the digitized data, provide healthcare professionals with critical information about patients, consentonon communication with the patients the most effective, efficient, accelerate the diagnosis and allow you to provide better care and more efficient. Medical researchers and healthcare leverage the data to develop new drugs, treatments and vaccinations, to identify the risk factors of the disease, prevent, or deal with epidemics and spread the knowledge to improve public health, and extend human longevity.<\/p>\n<p>However, the use of these data can compromise the privacy of the people to which they belong. In recent decades, laws such as HIPAA have evolved to protect the privacy of the people in the United States. Other countries have developed their own data privacy laws, including Canada, Australia and the EU (GDPR). Health care organizations, professionals and researchers in all of these countries must adhere to these regulations to show that take seriously the privacy of patients and to avoid the financial consequences and legal non-compliance. To achieve compliance, remove the medical data of the patients, or protected health information (PHI) of patients. The deidentificazione is also a requirement for organizations that want to train their models of machine learning to analyze or process the data at the level of the patient for research or other purposes.<\/p>\n<\/div><\/div><\/div><\/section>\n<section class='av_toggle_section av-lrgk7mfu-ba6b7abbb88e457973552ab49026fcd0'  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/BlogPosting\" itemprop=\"blogPost\" ><div role=\"tablist\" class=\"single_toggle\" data-tags=\"{All} \"  ><p id='toggle-toggle-id-2' data-fake-id='#toggle-id-2' class='toggler  av-title-above'  itemprop=\"headline\"  role='tab' tabindex='0' aria-controls='toggle-id-2' data-slide-speed=\"200\" data-title=\"Cos\u2019\u00e8 la de-identificazione?\" data-title-open=\"\" data-aria_collapsed=\"Click to expand: Cos\u2019\u00e8 la de-identificazione?\" data-aria_expanded=\"Click to collapse: Cos\u2019\u00e8 la de-identificazione?\">What is the de-identification?<span class=\"toggle_icon\"><span class=\"vert_icon\"><\/span><span class=\"hor_icon\"><\/span><\/span><\/p><div id='toggle-id-2' aria-labelledby='toggle-toggle-id-2' role='region' class='toggle_wrap  av-title-above'  ><div class='toggle_content invers-color'  itemprop=\"text\" ><p><strong>The de-identification is a technique used to remove any data that could identify a person from a set of data.<\/strong> It is a way to protect your personal information that identifies an individual or a company by eliminating all the information of personal identification, so it is not possible to go back to the person to which the data belongs. Personal identifiers include:<\/p>\n<ul>\n<li>Nme and surname,<\/li>\n<li>Geographic data such as address, city and postal code<\/li>\n<li>Dates directly related to an individual, such as date of birth, date of discharge, date of death, etc.<\/li>\n<li>Tax code<\/li>\n<li>Social insurance number<\/li>\n<li>Phone numbers<\/li>\n<li>Email addresses<\/li>\n<li>Numbers of the clinical<\/li>\n<li>Biometric identifiers, including fingerprints and footprints voice<\/li>\n<li>Photographs recognizable<\/li>\n<li>IP address of access to the system<\/li>\n<li>bank account numbers (IBAN)<\/li>\n<\/ul>\n<p>The de-identification is sometimes used interchangeably with the anonymizing, even if there is a certain difference:<\/p>\n<ul>\n<li>the <strong>de-identification<\/strong> it involves removing explicit identifiers, personal, for example, by replacing real name with aliases fictitious generic for different people, so that <strong>it is not possible to assign unambiguously the patient starting from the its data is de-identified<\/strong>.<\/li>\n<li>l\u2019<strong>anonymous<\/strong> it focuses on the fact that the data can not be traced back to identify the individual, for example a numeric code uniquely associated with the person is a classic example of anonymization, in which<strong> from the numeric code you can with a table of the association go back to identify the patient<\/strong>..<\/li>\n<\/ul>\n<\/div><\/div><\/div><\/section>\n<section class='av_toggle_section av-lrgk7y37-ea0bc12bf951f264110cfc1b191b8a34'  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/BlogPosting\" itemprop=\"blogPost\" ><div role=\"tablist\" class=\"single_toggle\" data-tags=\"{All} \"  ><p id='toggle-toggle-id-3' data-fake-id='#toggle-id-3' class='toggler  av-title-above'  itemprop=\"headline\"  role='tab' tabindex='0' aria-controls='toggle-id-3' data-slide-speed=\"200\" data-title=\"L\u2019importanza della de-identificazione in ambito sanitario\" data-title-open=\"\" data-aria_collapsed=\"Click to expand: L\u2019importanza della de-identificazione in ambito sanitario\" data-aria_expanded=\"Click to collapse: L\u2019importanza della de-identificazione in ambito sanitario\">The importance of de-identification in the context of health care<span class=\"toggle_icon\"><span class=\"vert_icon\"><\/span><span class=\"hor_icon\"><\/span><\/span><\/p><div id='toggle-id-3' aria-labelledby='toggle-toggle-id-3' role='region' class='toggle_wrap  av-title-above'  ><div class='toggle_content invers-color'  itemprop=\"text\" ><p>In today&#039;s world, where there are many scandals about privacy, it is necessary to know and understand the importance of the de-identification of health data, in fact, this guarantees that the individuals &#039; data are not disclosed to third parties or disclosed in an inappropriate manner, thus limiting the potential damage to privacy and the GDPR.<\/p>\n<p>The deidentificazione has become increasingly popular after the entry into force of the GDPR (general Regulation on data protection). But there are many cases in which the personal health information of people have been compromised without their knowledge (in the case of violation of personal data, or \u201cdata breach\u201d), or without their consent due to lack of security measures put in place by health-related companies.<\/p>\n<\/div><\/div><\/div><\/section>\n<section class='av_toggle_section av-lrgo7bmu-7d8e9e7bb8d9aee356706272da83f69b'  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/BlogPosting\" itemprop=\"blogPost\" ><div role=\"tablist\" class=\"single_toggle\" data-tags=\"{All} \"  ><p id='toggle-toggle-id-4' data-fake-id='#toggle-id-4' class='toggler  av-title-above'  itemprop=\"headline\"  role='tab' tabindex='0' aria-controls='toggle-id-4' data-slide-speed=\"200\" data-title=\"Approccio tradizionale alla de-identificazione dei dati sanitari\" data-title-open=\"\" data-aria_collapsed=\"Click to expand: Approccio tradizionale alla de-identificazione dei dati sanitari\" data-aria_expanded=\"Click to collapse: Approccio tradizionale alla de-identificazione dei dati sanitari\">A traditional approach to de-identification of health data<span class=\"toggle_icon\"><span class=\"vert_icon\"><\/span><span class=\"hor_icon\"><\/span><\/span><\/p><div id='toggle-id-4' aria-labelledby='toggle-toggle-id-4' role='region' class='toggle_wrap  av-title-above'  ><div class='toggle_content invers-color'  itemprop=\"text\" ><p>Traditionally, healthcare organizations and researchers were using manual methods to anonymize the data of the patients and prepare them for further processing and analysis. This resulted in the recruitment of a team of people, seen each document page-by-page and line-by-line. Then try any personal identification that can identify an individual, such as your name, address, phone numbers, etc. by removing and finally manually the id from the health information de-identified.<\/p>\n<p>The limit of this approach is that it relies on the human eye and the human attention to detail. Since human beings are fallible, the auditor may not notice one or more identifiers of personal and approve incorrectly a document is not identified, and suitable for further processing and analysis by means of models of machine learning. This not only creates risks to the privacy of the individuals, but also increases the risk of non-compliance to the GDPR. This can create serious legal problems and financial for the organization in question in the case of sanctions by the Guarantor.<\/p>\n<p>Another limit of the anonymous manual of health data is its slowness. The health sector level mondaiale produces billion clinical documents and this number is increasing year after year. Every health care organization is each year, hundreds of thousands, if not millions, of clinical documents. And are created every day more and more documents of this type. With the traditional approach it is impossible to review and make anonymous quickly all the data contained in these documents for research, studies on the effectiveness, evaluations, policies and other use cases.<\/p>\n<\/div><\/div><\/div><\/section>\n<section class='av_toggle_section av-lrgnh9c4-5b0ccad85e2a05d116fc56e3d22cf8b3'  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/BlogPosting\" itemprop=\"blogPost\" ><div role=\"tablist\" class=\"single_toggle\" data-tags=\"{All} \"  ><p id='toggle-toggle-id-5' data-fake-id='#toggle-id-5' class='toggler  av-title-above'  itemprop=\"headline\"  role='tab' tabindex='0' aria-controls='toggle-id-5' data-slide-speed=\"200\" data-title=\"Approcci alternativi alla de-identificazione\" data-title-open=\"\" data-aria_collapsed=\"Click to expand: Approcci alternativi alla de-identificazione\" data-aria_expanded=\"Click to collapse: Approcci alternativi alla de-identificazione\">Alternative approaches to de-identification<span class=\"toggle_icon\"><span class=\"vert_icon\"><\/span><span class=\"hor_icon\"><\/span><\/span><\/p><div id='toggle-id-5' aria-labelledby='toggle-toggle-id-5' role='region' class='toggle_wrap  av-title-above'  ><div class='toggle_content invers-color'  itemprop=\"text\" ><p>Most of the data collected in various contexts are stored on a relational database, and is not, in which usually there are different types of data, recorded as structured and unstructured data. Unstructured data, data are generally stored in their native format (for example pdf documents or images in DICOM format), while the structured data are clearly defined, coded, and searchable. Considering the different type of data to be processed, the process of deidentificazione must be applied differently for each data type and can vary from the simple obfuscation or encryption to the more complex processes such as hashing or masking. The deidentificazione has the form of the recognition of the natural entities (NER) in NLP and can be divided into the following three categories:<\/p>\n<ul>\n<li><strong>Rules-based approach:<\/strong> applies to the use of rules, matching and dictionaries to anonymize your text documents. Although this approach requires a lot of experience in the sector and can be difficult to manage with the drift of the data, it is quite explainable.<\/li>\n<li><strong>Model-based approach:<\/strong>\u00a0Researchers use machine learning algorithms to address the lack of resilience in the rule-based systems. This applies to the use of models ML to anonymize your text. This approach generalizes better to have a higher accuracy and a better acquisition context.<\/li>\n<li><strong>Hybrid approach:<\/strong> represents a balance pragmatic between both approaches is recommended. The recent developments in the field of deep learning and NLP have allowed systems to obtain better results, in particular in the field of named entity.<\/li>\n<\/ul>\n<\/div><\/div><\/div><\/section>\n<\/div><\/div>\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-lrgmv181-79164bb3fa44afc5fe000a9799da0494\">\n#top .hr.hr-invisible.av-lrgmv181-79164bb3fa44afc5fe000a9799da0494{\nheight:100px;\n}\n<\/style>\n<div  class='hr av-lrgmv181-79164bb3fa44afc5fe000a9799da0494 hr-invisible  avia-builder-el-12  el_after_av_one_half  avia-builder-el-last'><span class='hr-inner'><span class=\"hr-inner-style\"><\/span><\/span><\/div>\n<\/div><\/div><\/div><!-- close content main div --><\/div><\/div><div id='small'  class='avia-section av-lvkp9tm6-c6d279308f5cc97b7eeb11a47e6c4d23 alternate_color avia-section-default avia-no-border-styling  avia-builder-el-13  el_after_av_section  el_before_av_section  hide-on-large avia-bg-style-scroll container_wrap fullsize'  ><div class='container av-section-cont-open' ><div class='template-page content  av-content-full alpha units'><div class='post-entry post-entry-type-page post-entry-472'><div class='entry-content-wrapper clearfix'>\n<div class='flex_column_table av-4g5kjs-058b981b9a9ba4a07203897916aaddaa sc-av_one_fifth av-equal-height-column-flextable shadow-not-animated'>\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-4g5kjs-058b981b9a9ba4a07203897916aaddaa\">\n@keyframes av_boxShadowEffect_av-4g5kjs-058b981b9a9ba4a07203897916aaddaa-row {\n0%   { box-shadow:  0 0 0 0 #444444; 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Autoclose: 1 --><div  class='flex_column av-3fsh8g-66df789d9810320d26db81a214b1f4dd av_one_full  avia-builder-el-20  el_after_av_one_fifth  el_before_av_one_full  first flex_column_div  column-top-margin'     ><style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-395qbs-7ebe3e7a979f690b3f333e3bd9eebca3\">\n.avia-image-container.av-395qbs-7ebe3e7a979f690b3f333e3bd9eebca3 img.avia_image{\nbox-shadow:none;\n}\n.avia-image-container.av-395qbs-7ebe3e7a979f690b3f333e3bd9eebca3 .av-image-caption-overlay-center{\ncolor:#ffffff;\n}\n<\/style>\n<div  class='avia-image-container av-395qbs-7ebe3e7a979f690b3f333e3bd9eebca3 av-styling- avia-align-center  avia-builder-el-21  avia-builder-el-no-sibling'   itemprop=\"image\" itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/ImageObject\" ><div class=\"avia-image-container-inner\"><div class=\"avia-image-overlay-wrap\"><img decoding=\"async\" class='wp-image-499 avia-img-lazy-loading-not-499 avia_image' src=\"https:\/\/www.talence.it\/wp-content\/uploads\/2024\/01\/brain-2-1.jpg\" alt='' title='brain 2'  height=\"720\" width=\"1280\"  itemprop=\"thumbnailUrl\" srcset=\"https:\/\/www.talence.it\/wp-content\/uploads\/2024\/01\/brain-2-1.jpg 1280w, https:\/\/www.talence.it\/wp-content\/uploads\/2024\/01\/brain-2-1-300x169.jpg 300w, https:\/\/www.talence.it\/wp-content\/uploads\/2024\/01\/brain-2-1-1030x579.jpg 1030w, https:\/\/www.talence.it\/wp-content\/uploads\/2024\/01\/brain-2-1-768x432.jpg 768w, https:\/\/www.talence.it\/wp-content\/uploads\/2024\/01\/brain-2-1-705x397.jpg 705w\" sizes=\"(max-width: 1280px) 100vw, 1280px\" \/><\/div><\/div><\/div><\/div><div class='flex_column_table av-31vrrs-6649048bcdae0e6ecb8220046fd8546d sc-av_one_full av-equal-height-column-flextable'><div  class='flex_column av-31vrrs-6649048bcdae0e6ecb8220046fd8546d av_one_full  avia-builder-el-22  el_after_av_one_full  el_before_av_hr  first flex_column_table_cell av-equal-height-column av-align-top  column-top-margin'     ><style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-2z0heo-dc9e89731325d5eee1c970a874dafeaa\">\n#top .togglecontainer.av-2z0heo-dc9e89731325d5eee1c970a874dafeaa p.toggler{\nfont-size:30px;\n}\n#top .togglecontainer.av-2z0heo-dc9e89731325d5eee1c970a874dafeaa .toggle_wrap .toggle_content{\nfont-size:25px;\n}\n<\/style>\n<div  class='togglecontainer av-2z0heo-dc9e89731325d5eee1c970a874dafeaa av-elegant-toggle  avia-builder-el-23  avia-builder-el-no-sibling  toggle_close_all' >\n<section class='av_toggle_section av-2qbq5c-9ed8f1c982a785080e25bc38ffb4dcd5'  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/BlogPosting\" itemprop=\"blogPost\" ><div role=\"tablist\" class=\"single_toggle\" data-tags=\"{All} \"  ><p id='toggle-toggle-id-6' data-fake-id='#toggle-id-6' class='toggler  av-title-above'  itemprop=\"headline\"  role='tab' tabindex='0' aria-controls='toggle-id-6' data-slide-speed=\"200\" data-title=\"Introduzione\" data-title-open=\"\" data-aria_collapsed=\"Click to expand: Introduzione\" data-aria_expanded=\"Click to collapse: Introduzione\">Introduction<span class=\"toggle_icon\"><span class=\"vert_icon\"><\/span><span class=\"hor_icon\"><\/span><\/span><\/p><div id='toggle-id-6' aria-labelledby='toggle-toggle-id-6' role='region' class='toggle_wrap  av-title-above'  ><div class='toggle_content invers-color'  itemprop=\"text\" ><p>With the increasing number of personal data produced and stored by organizations, the data privacy is becoming a growing priority. The data support the cutting-edge research, drive innovation and help in the development of solutions to real-world problems. This is particularly true in the health sector.<\/p>\n<p>The right type, amount and quality of the digitized data, provide healthcare professionals with critical information about patients, consentonon communication with the patients the most effective, efficient, accelerate the diagnosis and allow you to provide better care and more efficient. Medical researchers and healthcare leverage the data to develop new drugs, treatments and vaccinations, to identify the risk factors of the disease, prevent, or deal with epidemics and spread the knowledge to improve public health, and extend human longevity.<\/p>\n<p>However, the use of these data can compromise the privacy of the people to which they belong. In recent decades, laws such as HIPAA have evolved to protect the privacy of the people in the United States. Other countries have developed their own data privacy laws, including Canada, Australia and the EU (GDPR). Health care organizations, professionals and researchers in all of these countries must adhere to these regulations to show that take seriously the privacy of patients and to avoid the financial consequences and legal non-compliance. To achieve compliance, remove the medical data of the patients, or protected health information (PHI) of patients. The deidentificazione is also a requirement for organizations that want to train their models of machine learning to analyze or process the data at the level of the patient for research or other purposes.<\/p>\n<\/div><\/div><\/div><\/section>\n<section class='av_toggle_section av-2m4k0o-5c195e7da9e20452ec8ade004013a9c8'  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/BlogPosting\" itemprop=\"blogPost\" ><div role=\"tablist\" class=\"single_toggle\" data-tags=\"{All} \"  ><p id='toggle-toggle-id-7' data-fake-id='#toggle-id-7' class='toggler  av-title-above'  itemprop=\"headline\"  role='tab' tabindex='0' aria-controls='toggle-id-7' data-slide-speed=\"200\" data-title=\"Cos\u2019\u00e8 la de-identificazione?\" data-title-open=\"\" data-aria_collapsed=\"Click to expand: Cos\u2019\u00e8 la de-identificazione?\" data-aria_expanded=\"Click to collapse: Cos\u2019\u00e8 la de-identificazione?\">What is the de-identification?<span class=\"toggle_icon\"><span class=\"vert_icon\"><\/span><span class=\"hor_icon\"><\/span><\/span><\/p><div id='toggle-id-7' aria-labelledby='toggle-toggle-id-7' role='region' class='toggle_wrap  av-title-above'  ><div class='toggle_content invers-color'  itemprop=\"text\" ><p><strong>The de-identification is a technique used to remove any data that could identify a person from a set of data.<\/strong> It is a way to protect your personal information that identifies an individual or a company by eliminating all the information of personal identification, so it is not possible to go back to the person to which the data belongs. Personal identifiers include:<\/p>\n<ul>\n<li>Nme and surname,<\/li>\n<li>Geographic data such as address, city and postal code<\/li>\n<li>Dates directly related to an individual, such as date of birth, date of discharge, date of death, etc.<\/li>\n<li>Tax code<\/li>\n<li>Social insurance number<\/li>\n<li>Phone numbers<\/li>\n<li>Email addresses<\/li>\n<li>Numbers of the clinical<\/li>\n<li>Biometric identifiers, including fingerprints and footprints voice<\/li>\n<li>Photographs recognizable<\/li>\n<li>IP address of access to the system<\/li>\n<li>bank account numbers (IBAN)<\/li>\n<\/ul>\n<p>The de-identification is sometimes used interchangeably with the anonymizing, even if there is a certain difference:<\/p>\n<ul>\n<li>the <strong>de-identification<\/strong> it involves removing explicit identifiers, personal, for example, by replacing real name with aliases fictitious generic for different people, so that <strong>it is not possible to assign unambiguously the patient starting from the its data is de-identified<\/strong>.<\/li>\n<li>l\u2019<strong>anonymous<\/strong> it focuses on the fact that the data can not be traced back to identify the individual, for example a numeric code uniquely associated with the person is a classic example of anonymization, in which<strong> from the numeric code you can with a table of the association go back to identify the patient<\/strong>..<\/li>\n<\/ul>\n<\/div><\/div><\/div><\/section>\n<section class='av_toggle_section av-2ghgag-50e01bd864cbd5125d1e37af7d05c949'  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/BlogPosting\" itemprop=\"blogPost\" ><div role=\"tablist\" class=\"single_toggle\" data-tags=\"{All} \"  ><p id='toggle-toggle-id-8' data-fake-id='#toggle-id-8' class='toggler  av-title-above'  itemprop=\"headline\"  role='tab' tabindex='0' aria-controls='toggle-id-8' data-slide-speed=\"200\" data-title=\"L\u2019importanza della de-identificazione in ambito sanitario\" data-title-open=\"\" data-aria_collapsed=\"Click to expand: L\u2019importanza della de-identificazione in ambito sanitario\" data-aria_expanded=\"Click to collapse: L\u2019importanza della de-identificazione in ambito sanitario\">The importance of de-identification in the context of health care<span class=\"toggle_icon\"><span class=\"vert_icon\"><\/span><span class=\"hor_icon\"><\/span><\/span><\/p><div id='toggle-id-8' aria-labelledby='toggle-toggle-id-8' role='region' class='toggle_wrap  av-title-above'  ><div class='toggle_content invers-color'  itemprop=\"text\" ><p>In today&#039;s world, where there are many scandals about privacy, it is necessary to know and understand the importance of the de-identification of health data, in fact, this guarantees that the individuals &#039; data are not disclosed to third parties or disclosed in an inappropriate manner, thus limiting the potential damage to privacy and the GDPR.<\/p>\n<p>The deidentificazione has become increasingly popular after the entry into force of the GDPR (general Regulation on data protection). But there are many cases in which the personal health information of people have been compromised without their knowledge (in the case of violation of personal data, or \u201cdata breach\u201d), or without their consent due to lack of security measures put in place by health-related companies.<\/p>\n<\/div><\/div><\/div><\/section>\n<section class='av_toggle_section av-29siog-e3d54edd7d7c714b2281e6b86ecf2f60'  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/BlogPosting\" itemprop=\"blogPost\" ><div role=\"tablist\" class=\"single_toggle\" data-tags=\"{All} \"  ><p id='toggle-toggle-id-9' data-fake-id='#toggle-id-9' class='toggler  av-title-above'  itemprop=\"headline\"  role='tab' tabindex='0' aria-controls='toggle-id-9' data-slide-speed=\"200\" data-title=\"Approccio tradizionale alla de-identificazione dei dati sanitari\" data-title-open=\"\" data-aria_collapsed=\"Click to expand: Approccio tradizionale alla de-identificazione dei dati sanitari\" data-aria_expanded=\"Click to collapse: Approccio tradizionale alla de-identificazione dei dati sanitari\">A traditional approach to de-identification of health data<span class=\"toggle_icon\"><span class=\"vert_icon\"><\/span><span class=\"hor_icon\"><\/span><\/span><\/p><div id='toggle-id-9' aria-labelledby='toggle-toggle-id-9' role='region' class='toggle_wrap  av-title-above'  ><div class='toggle_content invers-color'  itemprop=\"text\" ><p>Traditionally, healthcare organizations and researchers were using manual methods to anonymize the data of the patients and prepare them for further processing and analysis. This resulted in the recruitment of a team of people, seen each document page-by-page and line-by-line. Then try any personal identification that can identify an individual, such as your name, address, phone numbers, etc. by removing and finally manually the id from the health information de-identified.<\/p>\n<p>The limit of this approach is that it relies on the human eye and the human attention to detail. Since human beings are fallible, the auditor may not notice one or more identifiers of personal and approve incorrectly a document is not identified, and suitable for further processing and analysis by means of models of machine learning. This not only creates risks to the privacy of the individuals, but also increases the risk of non-compliance to the GDPR. This can create serious legal problems and financial for the organization in question in the case of sanctions by the Guarantor.<\/p>\n<p>Another limit of the anonymous manual of health data is its slowness. The health sector level mondaiale produces billion clinical documents and this number is increasing year after year. Every health care organization is each year, hundreds of thousands, if not millions, of clinical documents. And are created every day more and more documents of this type. With the traditional approach it is impossible to review and make anonymous quickly all the data contained in these documents for research, studies on the effectiveness, evaluations, policies and other use cases.<\/p>\n<\/div><\/div><\/div><\/section>\n<section class='av_toggle_section av-21l56w-1c99f7fed1c6de1ea28791a07eb240d6'  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/BlogPosting\" itemprop=\"blogPost\" ><div role=\"tablist\" class=\"single_toggle\" data-tags=\"{All} \"  ><p id='toggle-toggle-id-10' data-fake-id='#toggle-id-10' class='toggler  av-title-above'  itemprop=\"headline\"  role='tab' tabindex='0' aria-controls='toggle-id-10' data-slide-speed=\"200\" data-title=\"Approcci alternativi alla de-identificazione\" data-title-open=\"\" data-aria_collapsed=\"Click to expand: Approcci alternativi alla de-identificazione\" data-aria_expanded=\"Click to collapse: Approcci alternativi alla de-identificazione\">Alternative approaches to de-identification<span class=\"toggle_icon\"><span class=\"vert_icon\"><\/span><span class=\"hor_icon\"><\/span><\/span><\/p><div id='toggle-id-10' aria-labelledby='toggle-toggle-id-10' role='region' class='toggle_wrap  av-title-above'  ><div class='toggle_content invers-color'  itemprop=\"text\" ><p>Most of the data collected in various contexts are stored on a relational database, and is not, in which usually there are different types of data, recorded as structured and unstructured data. Unstructured data, data are generally stored in their native format (for example pdf documents or images in DICOM format), while the structured data are clearly defined, coded, and searchable. Considering the different type of data to be processed, the process of deidentificazione must be applied differently for each data type and can vary from the simple obfuscation or encryption to the more complex processes such as hashing or masking. The deidentificazione has the form of the recognition of the natural entities (NER) in NLP and can be divided into the following three categories:<\/p>\n<ul>\n<li><strong>Rules-based approach:<\/strong> applies to the use of rules, matching and dictionaries to anonymize your text documents. Although this approach requires a lot of experience in the sector and can be difficult to manage with the drift of the data, it is quite explainable.<\/li>\n<li><strong>Model-based approach:<\/strong>\u00a0Researchers use machine learning algorithms to address the lack of resilience in the rule-based systems. This applies to the use of models ML to anonymize your text. This approach generalizes better to have a higher accuracy and a better acquisition context.<\/li>\n<li><strong>Hybrid approach:<\/strong> represents a balance pragmatic between both approaches is recommended. The recent developments in the field of deep learning and NLP have allowed systems to obtain better results, in particular in the field of named entity.<\/li>\n<\/ul>\n<\/div><\/div><\/div><\/section>\n<\/div><\/div><\/div><!--close column table wrapper. Autoclose: 1 -->\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-1z324w-87d6617ee1c71c8c49109c7578a7f149\">\n#top .hr.hr-invisible.av-1z324w-87d6617ee1c71c8c49109c7578a7f149{\nheight:100px;\n}\n<\/style>\n<div  class='hr av-1z324w-87d6617ee1c71c8c49109c7578a7f149 hr-invisible  avia-builder-el-24  el_after_av_one_full  avia-builder-el-last'><span class='hr-inner'><span class=\"hr-inner-style\"><\/span><\/span><\/div>\n<\/div><\/div><\/div><!-- close content main div --><\/div><\/div>\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-rvg8-77427127675668e5b195260fb0e7ea85\">\n.avia-section.av-rvg8-77427127675668e5b195260fb0e7ea85{\nbackground-repeat:no-repeat;\nbackground-image:url(https:\/\/www.talence.it\/wp-content\/uploads\/2024\/01\/rete-2.jpg);\nbackground-position:50% 50%;\nbackground-attachment:fixed;\n}\n.avia-section.av-rvg8-77427127675668e5b195260fb0e7ea85 .av-section-color-overlay{\nopacity:0.6;\nbackground-color:#000000;\n}\n<\/style>\n<div id='av_section_3'  class='avia-section av-rvg8-77427127675668e5b195260fb0e7ea85 main_color avia-section-huge avia-no-border-styling  avia-builder-el-25  el_after_av_section  el_before_av_section  avia-full-stretch avia-bg-style-fixed av-section-color-overlay-active container_wrap fullsize'  data-section-bg-repeat='stretch'><div class=\"av-section-color-overlay-wrap\"><div class=\"av-section-color-overlay\"><\/div><div class='container av-section-cont-open' ><div class='template-page content  av-content-full alpha units'><div class='post-entry post-entry-type-page post-entry-472'><div class='entry-content-wrapper clearfix'><\/p>\n<\/div><\/div><\/div><!-- close content main div --><\/div><\/div><\/div><div id='large'  class='avia-section av-lvkshqyf-c9fcce3623459d354115f631384c1085 main_color avia-section-default avia-no-border-styling  avia-builder-el-26  el_after_av_section  el_before_av_section  hide-on-small avia-bg-style-scroll container_wrap fullsize'  ><div class='container av-section-cont-open' ><div class='template-page content  av-content-full alpha units'><div class='post-entry post-entry-type-page post-entry-472'><div class='entry-content-wrapper clearfix'>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-1vrw0g-20229f7005f6178686160e3e21574a44\">\n#top .hr.hr-invisible.av-1vrw0g-20229f7005f6178686160e3e21574a44{\nheight:30px;\n}\n<\/style>\n<div  class='hr av-1vrw0g-20229f7005f6178686160e3e21574a44 hr-invisible  avia-builder-el-27  el_before_av_one_half  avia-builder-el-first'><span class='hr-inner'><span class=\"hr-inner-style\"><\/span><\/span><\/div>\n<div class='flex_column_table av-1r846g-bacef3f6a8c62afbf9ab0daaa1e43958 sc-av_one_half av-equal-height-column-flextable'><div  class='flex_column av-1r846g-bacef3f6a8c62afbf9ab0daaa1e43958 av_one_half  avia-builder-el-28  el_after_av_hr  el_before_av_one_half  first flex_column_table_cell av-equal-height-column av-align-top'     ><p>\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-1j2iqg-8916293ce44fec8c4cfea5982d3549f0\">\n.avia-image-container.av-1j2iqg-8916293ce44fec8c4cfea5982d3549f0 img.avia_image{\nbox-shadow:none;\n}\n.avia-image-container.av-1j2iqg-8916293ce44fec8c4cfea5982d3549f0 .av-image-caption-overlay-center{\ncolor:#ffffff;\n}\n<\/style>\n<div  class='avia-image-container av-1j2iqg-8916293ce44fec8c4cfea5982d3549f0 av-styling- avia-align-left  avia-builder-el-29  el_before_av_hr  avia-builder-el-first'   itemprop=\"image\" itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/ImageObject\" ><div class=\"avia-image-container-inner\"><div class=\"avia-image-overlay-wrap\"><img decoding=\"async\" class='wp-image-604 avia-img-lazy-loading-not-604 avia_image' src=\"https:\/\/www.talence.it\/wp-content\/uploads\/2024\/01\/Immagine1-1500x749.png\" alt='' title='Image1'  height=\"749\" width=\"1500\"  itemprop=\"thumbnailUrl\" srcset=\"https:\/\/www.talence.it\/wp-content\/uploads\/2024\/01\/Immagine1-1500x749.png 1500w, https:\/\/www.talence.it\/wp-content\/uploads\/2024\/01\/Immagine1-300x150.png 300w, https:\/\/www.talence.it\/wp-content\/uploads\/2024\/01\/Immagine1-1030x514.png 1030w, https:\/\/www.talence.it\/wp-content\/uploads\/2024\/01\/Immagine1-768x383.png 768w, https:\/\/www.talence.it\/wp-content\/uploads\/2024\/01\/Immagine1-1536x766.png 1536w, https:\/\/www.talence.it\/wp-content\/uploads\/2024\/01\/Immagine1-705x352.png 705w, https:\/\/www.talence.it\/wp-content\/uploads\/2024\/01\/Immagine1.png 2002w\" sizes=\"(max-width: 1500px) 100vw, 1500px\" \/><\/div><\/div><\/div><br \/>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-eqpaw-26c6665785f2264b6fe1ce897446fe48\">\n#top .hr.hr-invisible.av-eqpaw-26c6665785f2264b6fe1ce897446fe48{\nheight:30px;\n}\n<\/style>\n<div  class='hr av-eqpaw-26c6665785f2264b6fe1ce897446fe48 hr-invisible  avia-builder-el-30  el_after_av_image  avia-builder-el-last'><span class='hr-inner'><span class=\"hr-inner-style\"><\/span><\/span><\/div><\/p><\/div><div class='av-flex-placeholder'><\/div><div  class='flex_column av-1g5hvc-5b9bc9f89a15f05d935dfc78833d603c av_one_half  avia-builder-el-31  el_after_av_one_half  avia-builder-el-last  flex_column_table_cell av-equal-height-column av-align-top'     ><style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-190c5k-9dfb706a1a20a2036b9a1eaff7364d14\">\n#top .togglecontainer.av-190c5k-9dfb706a1a20a2036b9a1eaff7364d14 p.toggler{\nfont-size:25px;\n}\n#top .togglecontainer.av-190c5k-9dfb706a1a20a2036b9a1eaff7364d14 .toggle_wrap .toggle_content{\nfont-size:20px;\n}\n<\/style>\n<div  class='togglecontainer av-190c5k-9dfb706a1a20a2036b9a1eaff7364d14 av-elegant-toggle  avia-builder-el-32  avia-builder-el-no-sibling  toggle_close_all' >\n<section class='av_toggle_section av-11gay0-e322657460a5a09ffdfac7f3b9d1b3af'  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/BlogPosting\" itemprop=\"blogPost\" ><div role=\"tablist\" class=\"single_toggle\" data-tags=\"{All} \"  ><p id='toggle-toggle-id-11' data-fake-id='#toggle-id-11' class='toggler  av-title-above'  itemprop=\"headline\"  role='tab' tabindex='0' aria-controls='toggle-id-11' data-slide-speed=\"200\" data-title=\"Analisi del contesto\" data-title-open=\"\" data-aria_collapsed=\"Click to expand: Analisi del contesto\" data-aria_expanded=\"Click to collapse: Analisi del contesto\">Context analysis<span class=\"toggle_icon\"><span class=\"vert_icon\"><\/span><span class=\"hor_icon\"><\/span><\/span><\/p><div id='toggle-id-11' aria-labelledby='toggle-toggle-id-11' role='region' class='toggle_wrap  av-title-above'  ><div class='toggle_content invers-color'  itemprop=\"text\" ><p>Our team works closely with the health organization to review the general requirements, configuration, infrastructure, and anonymization of the data. It is carried out an analysis of the legal risk to understand the requirements of applicable law (GDPR, Privacy, etc). The analysis includes the type of information anonymize: names, phone numbers, addresses, and email, racial or ethnic origin, etc., and determines how to remove the identifiers of the patients to de-identify.<br \/>\nDetermines how it must be presented in the output, if the data is not identified, must be replaced, for example, by adding random names from a directory, to be replaced by a placeholder or simply deleted.<\/p>\n<\/div><\/div><\/div><\/section>\n<section class='av_toggle_section av-w5l7c-be70eee1784d353fbc1f2978d41472ba'  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/BlogPosting\" itemprop=\"blogPost\" ><div role=\"tablist\" class=\"single_toggle\" data-tags=\"{All} \"  ><p id='toggle-toggle-id-12' data-fake-id='#toggle-id-12' class='toggler  av-title-above'  itemprop=\"headline\"  role='tab' tabindex='0' aria-controls='toggle-id-12' data-slide-speed=\"200\" data-title=\"Rimozione degli identificativi\" data-title-open=\"\" data-aria_collapsed=\"Click to expand: Rimozione degli identificativi\" data-aria_expanded=\"Click to collapse: Rimozione degli identificativi\">Removal of identification<span class=\"toggle_icon\"><span class=\"vert_icon\"><\/span><span class=\"hor_icon\"><\/span><\/span><\/p><div id='toggle-id-12' aria-labelledby='toggle-toggle-id-12' role='region' class='toggle_wrap  av-title-above'  ><div class='toggle_content invers-color'  itemprop=\"text\" ><p>After the previous phase, which provides a kind of \u201chuman\u201d, the next phase provides for the use of the software NLP. Here is the code and pipelines are configured, depending on the context, by using NLP to remove the identifiers of the patient and the health professionals determined in the previous step.<\/p>\n<\/div><\/div><\/div><\/section>\n<section class='av_toggle_section av-ry9o8-466cf18958853de12160dba174ff42b2'  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/BlogPosting\" itemprop=\"blogPost\" ><div role=\"tablist\" class=\"single_toggle\" data-tags=\"{All} \"  ><p id='toggle-toggle-id-13' data-fake-id='#toggle-id-13' class='toggler  av-title-above'  itemprop=\"headline\"  role='tab' tabindex='0' aria-controls='toggle-id-13' data-slide-speed=\"200\" data-title=\"Misurazione dei risultati\" data-title-open=\"\" data-aria_collapsed=\"Click to expand: Misurazione dei risultati\" data-aria_expanded=\"Click to collapse: Misurazione dei risultati\">Measurement of results<span class=\"toggle_icon\"><span class=\"vert_icon\"><\/span><span class=\"hor_icon\"><\/span><\/span><\/p><div id='toggle-id-13' aria-labelledby='toggle-toggle-id-13' role='region' class='toggle_wrap  av-title-above'  ><div class='toggle_content invers-color'  itemprop=\"text\" ><p>This is once again a human passage, in which the team test and measure the performance and accuracy of a sample of data. In addition, jobs are executed, agreed, we set the sampling and install the platform for the cleaning of the data in the server farm of the customer.<\/p>\n<p>Depending on the results of this step, the team modified, if necessary, the pipeline anonymization created in the previous step. If the accuracy and performance meet the required levels, the process goes to step anonymization.<\/p>\n<\/div><\/div><\/div><\/section>\n<section class='av_toggle_section av-na0ko-846e8920b9bc40f129b21de90225794f'  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/BlogPosting\" itemprop=\"blogPost\" ><div role=\"tablist\" class=\"single_toggle\" data-tags=\"{All} \"  ><p id='toggle-toggle-id-14' data-fake-id='#toggle-id-14' class='toggler  av-title-above'  itemprop=\"headline\"  role='tab' tabindex='0' aria-controls='toggle-id-14' data-slide-speed=\"200\" data-title=\"De-identificazione dei dati\" data-title-open=\"\" data-aria_collapsed=\"Click to expand: De-identificazione dei dati\" data-aria_expanded=\"Click to collapse: De-identificazione dei dati\">De-identification of data<span class=\"toggle_icon\"><span class=\"vert_icon\"><\/span><span class=\"hor_icon\"><\/span><\/span><\/p><div id='toggle-id-14' aria-labelledby='toggle-toggle-id-14' role='region' class='toggle_wrap  av-title-above'  ><div class='toggle_content invers-color'  itemprop=\"text\" ><p>In this phase, based on the system of NLP, the team manages the pipeline of de-identification that is extremely sophisticated to allow the treatment of complex texts are not structured and images, eliminating the need for processes to access the manual, time-consuming and subject to human error.<\/p>\n<p>Our system NLP supports many types of unstructured text for de-identification, including<\/p>\n<ul>\n<li>The tables are structured and data sets<\/li>\n<li>Documents to text free<\/li>\n<li>Documents (DICOM Imaging and digital communications in medicine).<\/li>\n<li>Scanned PDF<\/li>\n<li>Data of medical imaging<\/li>\n<li>Images of pathology, and more<\/li>\n<\/ul>\n<p>At the end of this phase on the identifiers of the patient can perform the following transformations:<\/p>\n<ul>\n<li>Delete or replace text<\/li>\n<li>Obfuscate names, places, organizations, etc.,<\/li>\n<li>Generalize codes, dates, and addresses of the disease<\/li>\n<\/ul>\n<\/div><\/div><\/div><\/section>\n<section class='av_toggle_section av-1nrlk-26849afec21d785f5b21d971fd4b3b05'  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/BlogPosting\" itemprop=\"blogPost\" ><div role=\"tablist\" class=\"single_toggle\" data-tags=\"{All} \"  ><p id='toggle-toggle-id-15' data-fake-id='#toggle-id-15' class='toggler  av-title-above'  itemprop=\"headline\"  role='tab' tabindex='0' aria-controls='toggle-id-15' data-slide-speed=\"200\" data-title=\"Monitoraggio dei dati de-identificati\" data-title-open=\"\" data-aria_collapsed=\"Click to expand: Monitoraggio dei dati de-identificati\" data-aria_expanded=\"Click to collapse: Monitoraggio dei dati de-identificati\">Monitoring data is de-identified<span class=\"toggle_icon\"><span class=\"vert_icon\"><\/span><span class=\"hor_icon\"><\/span><\/span><\/p><div id='toggle-id-15' aria-labelledby='toggle-toggle-id-15' role='region' class='toggle_wrap  av-title-above'  ><div class='toggle_content invers-color'  itemprop=\"text\" ><p>The service anonymization does not stop to the anonymization of the data. It also includes operational support and continuous measurements of performance in order to maintain the quality, consistency and reliability of the results deidentificati. In particular, we conducted the following activities:<\/p>\n<ul>\n<li>Improve models of NLP<\/li>\n<li>Simplify incident response<\/li>\n<li>Manage requests for removal GDPR and CCPA<\/li>\n<li>Perform audits of data and processes<\/li>\n<\/ul>\n<\/div><\/div><\/div><\/section>\n<\/div><\/div><\/div><!--close column table wrapper. Autoclose: 1 --><\/div><\/div><\/div><!-- close content main div --><\/div><\/div><div id='small'  class='avia-section av-lvkpay33-6ce1c57d7e3989c08e7c99b8b869a29b main_color avia-section-default avia-no-border-styling  avia-builder-el-33  el_after_av_section  el_before_av_section  hide-on-large avia-bg-style-scroll container_wrap fullsize'  ><div class='container av-section-cont-open' ><div class='template-page content  av-content-full alpha units'><div class='post-entry post-entry-type-page post-entry-472'><div class='entry-content-wrapper clearfix'>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-1r01a8-06b48097a10f0487ee78c7ce5fef167f\">\n#top .hr.hr-invisible.av-1r01a8-06b48097a10f0487ee78c7ce5fef167f{\nheight:30px;\n}\n<\/style>\n<div  class='hr av-1r01a8-06b48097a10f0487ee78c7ce5fef167f hr-invisible  avia-builder-el-34  el_before_av_one_full  avia-builder-el-first'><span class='hr-inner'><span class=\"hr-inner-style\"><\/span><\/span><\/div>\n<div class='flex_column_table av-1kz8i0-b8300b77ac10dc670ba140d0a1dd14ae sc-av_one_full av-equal-height-column-flextable'><div  class='flex_column av-1kz8i0-b8300b77ac10dc670ba140d0a1dd14ae av_one_full  avia-builder-el-35  el_after_av_hr  el_before_av_one_full  first flex_column_table_cell av-equal-height-column av-align-top'     ><style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-1e78js-c924a90f31f8421b8c766b7c49aee555\">\n.avia-image-container.av-1e78js-c924a90f31f8421b8c766b7c49aee555 img.avia_image{\nbox-shadow:none;\n}\n.avia-image-container.av-1e78js-c924a90f31f8421b8c766b7c49aee555 .av-image-caption-overlay-center{\ncolor:#ffffff;\n}\n<\/style>\n<div  class='avia-image-container av-1e78js-c924a90f31f8421b8c766b7c49aee555 av-styling- avia-align-left  avia-builder-el-36  avia-builder-el-no-sibling'   itemprop=\"image\" itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/ImageObject\" ><div class=\"avia-image-container-inner\"><div class=\"avia-image-overlay-wrap\"><img decoding=\"async\" class='wp-image-604 avia-img-lazy-loading-not-604 avia_image' src=\"https:\/\/www.talence.it\/wp-content\/uploads\/2024\/01\/Immagine1-1500x749.png\" alt='' title='Image1'  height=\"749\" width=\"1500\"  itemprop=\"thumbnailUrl\" srcset=\"https:\/\/www.talence.it\/wp-content\/uploads\/2024\/01\/Immagine1-1500x749.png 1500w, https:\/\/www.talence.it\/wp-content\/uploads\/2024\/01\/Immagine1-300x150.png 300w, https:\/\/www.talence.it\/wp-content\/uploads\/2024\/01\/Immagine1-1030x514.png 1030w, https:\/\/www.talence.it\/wp-content\/uploads\/2024\/01\/Immagine1-768x383.png 768w, https:\/\/www.talence.it\/wp-content\/uploads\/2024\/01\/Immagine1-1536x766.png 1536w, https:\/\/www.talence.it\/wp-content\/uploads\/2024\/01\/Immagine1-705x352.png 705w, https:\/\/www.talence.it\/wp-content\/uploads\/2024\/01\/Immagine1.png 2002w\" sizes=\"(max-width: 1500px) 100vw, 1500px\" \/><\/div><\/div><\/div><\/div><\/div><!--close column table wrapper. Autoclose: 1 --><div  class='flex_column av-19offs-5e1e22c19b68a89bdc329bc811d6ed87 av_one_full  avia-builder-el-37  el_after_av_one_full  el_before_av_hr  first flex_column_div  column-top-margin'     ><style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-12vm60-22b50f592806c2aec6cdf61ee844a1b1\">\n#top .togglecontainer.av-12vm60-22b50f592806c2aec6cdf61ee844a1b1 p.toggler{\nfont-size:30px;\n}\n#top .togglecontainer.av-12vm60-22b50f592806c2aec6cdf61ee844a1b1 .toggle_wrap .toggle_content{\nfont-size:25px;\n}\n<\/style>\n<div  class='togglecontainer av-12vm60-22b50f592806c2aec6cdf61ee844a1b1 av-elegant-toggle  avia-builder-el-38  avia-builder-el-no-sibling  toggle_close_all' >\n<section class='av_toggle_section av-vs1js-648e7e6aac23b045ab5a4931c04385e6'  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/BlogPosting\" itemprop=\"blogPost\" ><div role=\"tablist\" class=\"single_toggle\" data-tags=\"{All} \"  ><p id='toggle-toggle-id-16' data-fake-id='#toggle-id-16' class='toggler  av-title-above'  itemprop=\"headline\"  role='tab' tabindex='0' aria-controls='toggle-id-16' data-slide-speed=\"200\" data-title=\"Analisi del contesto\" data-title-open=\"\" data-aria_collapsed=\"Click to expand: Analisi del contesto\" data-aria_expanded=\"Click to collapse: Analisi del contesto\">Context analysis<span class=\"toggle_icon\"><span class=\"vert_icon\"><\/span><span class=\"hor_icon\"><\/span><\/span><\/p><div id='toggle-id-16' aria-labelledby='toggle-toggle-id-16' role='region' class='toggle_wrap  av-title-above'  ><div class='toggle_content invers-color'  itemprop=\"text\" ><p>Our team works closely with the health organization to review the general requirements, configuration, infrastructure, and anonymization of the data. It is carried out an analysis of the legal risk to understand the requirements of applicable law (GDPR, Privacy, etc). The analysis includes the type of information anonymize: names, phone numbers, addresses, and email, racial or ethnic origin, etc., and determines how to remove the identifiers of the patients to de-identify.<br \/>\nDetermines how it must be presented in the output, if the data is not identified, must be replaced, for example, by adding random names from a directory, to be replaced by a placeholder or simply deleted.<\/p>\n<\/div><\/div><\/div><\/section>\n<section class='av_toggle_section av-qbv1s-4de78e9a590420b23bd4b64834bc562f'  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/BlogPosting\" itemprop=\"blogPost\" ><div role=\"tablist\" class=\"single_toggle\" data-tags=\"{All} \"  ><p id='toggle-toggle-id-17' data-fake-id='#toggle-id-17' class='toggler  av-title-above'  itemprop=\"headline\"  role='tab' tabindex='0' aria-controls='toggle-id-17' data-slide-speed=\"200\" data-title=\"Rimozione degli identificativi\" data-title-open=\"\" data-aria_collapsed=\"Click to expand: Rimozione degli identificativi\" data-aria_expanded=\"Click to collapse: Rimozione degli identificativi\">Removal of identification<span class=\"toggle_icon\"><span class=\"vert_icon\"><\/span><span class=\"hor_icon\"><\/span><\/span><\/p><div id='toggle-id-17' aria-labelledby='toggle-toggle-id-17' role='region' class='toggle_wrap  av-title-above'  ><div class='toggle_content invers-color'  itemprop=\"text\" ><p>After the previous phase, which provides a kind of \u201chuman\u201d, the next phase provides for the use of the software NLP. Here is the code and pipelines are configured, depending on the context, by using NLP to remove the identifiers of the patient and the health professionals determined in the previous step.<\/p>\n<\/div><\/div><\/div><\/section>\n<section class='av_toggle_section av-kt69s-d5c1876dafd1a241b402e727183229ca'  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/BlogPosting\" itemprop=\"blogPost\" ><div role=\"tablist\" class=\"single_toggle\" data-tags=\"{All} \"  ><p id='toggle-toggle-id-18' data-fake-id='#toggle-id-18' class='toggler  av-title-above'  itemprop=\"headline\"  role='tab' tabindex='0' aria-controls='toggle-id-18' data-slide-speed=\"200\" data-title=\"Misurazione dei risultati\" data-title-open=\"\" data-aria_collapsed=\"Click to expand: Misurazione dei risultati\" data-aria_expanded=\"Click to collapse: Misurazione dei risultati\">Measurement of results<span class=\"toggle_icon\"><span class=\"vert_icon\"><\/span><span class=\"hor_icon\"><\/span><\/span><\/p><div id='toggle-id-18' aria-labelledby='toggle-toggle-id-18' role='region' class='toggle_wrap  av-title-above'  ><div class='toggle_content invers-color'  itemprop=\"text\" ><p>This is once again a human passage, in which the team test and measure the performance and accuracy of a sample of data. In addition, jobs are executed, agreed, we set the sampling and install the platform for the cleaning of the data in the server farm of the customer.<\/p>\n<p>Depending on the results of this step, the team modified, if necessary, the pipeline anonymization created in the previous step. If the accuracy and performance meet the required levels, the process goes to step anonymization.<\/p>\n<\/div><\/div><\/div><\/section>\n<section class='av_toggle_section av-g21s0-8f297f1d04fbec0b2f83b0d9b99f822e'  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/BlogPosting\" itemprop=\"blogPost\" ><div role=\"tablist\" class=\"single_toggle\" data-tags=\"{All} \"  ><p id='toggle-toggle-id-19' data-fake-id='#toggle-id-19' class='toggler  av-title-above'  itemprop=\"headline\"  role='tab' tabindex='0' aria-controls='toggle-id-19' data-slide-speed=\"200\" data-title=\"De-identificazione dei dati\" data-title-open=\"\" data-aria_collapsed=\"Click to expand: De-identificazione dei dati\" data-aria_expanded=\"Click to collapse: De-identificazione dei dati\">De-identification of data<span class=\"toggle_icon\"><span class=\"vert_icon\"><\/span><span class=\"hor_icon\"><\/span><\/span><\/p><div id='toggle-id-19' aria-labelledby='toggle-toggle-id-19' role='region' class='toggle_wrap  av-title-above'  ><div class='toggle_content invers-color'  itemprop=\"text\" ><p>In this phase, based on the system of NLP, the team manages the pipeline of de-identification that is extremely sophisticated to allow the treatment of complex texts are not structured and images, eliminating the need for processes to access the manual, time-consuming and subject to human error.<\/p>\n<p>Our system NLP supports many types of unstructured text for de-identification, including<\/p>\n<ul>\n<li>The tables are structured and data sets<\/li>\n<li>Documents to text free<\/li>\n<li>Documents (DICOM Imaging and digital communications in medicine).<\/li>\n<li>Scanned PDF<\/li>\n<li>Data of medical imaging<\/li>\n<li>Images of pathology, and more<\/li>\n<\/ul>\n<p>At the end of this phase on the identifiers of the patient can perform the following transformations:<\/p>\n<ul>\n<li>Delete or replace text<\/li>\n<li>Obfuscate names, places, organizations, etc.,<\/li>\n<li>Generalize codes, dates, and addresses of the disease<\/li>\n<\/ul>\n<\/div><\/div><\/div><\/section>\n<section class='av_toggle_section av-8avmg-34c79db4e00966bdfa956d674b40e0a5'  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/BlogPosting\" itemprop=\"blogPost\" ><div role=\"tablist\" class=\"single_toggle\" data-tags=\"{All} \"  ><p id='toggle-toggle-id-20' data-fake-id='#toggle-id-20' class='toggler  av-title-above'  itemprop=\"headline\"  role='tab' tabindex='0' aria-controls='toggle-id-20' data-slide-speed=\"200\" data-title=\"Monitoraggio dei dati de-identificati\" data-title-open=\"\" data-aria_collapsed=\"Click to expand: Monitoraggio dei dati de-identificati\" data-aria_expanded=\"Click to collapse: Monitoraggio dei dati de-identificati\">Monitoring data is de-identified<span class=\"toggle_icon\"><span class=\"vert_icon\"><\/span><span class=\"hor_icon\"><\/span><\/span><\/p><div id='toggle-id-20' aria-labelledby='toggle-toggle-id-20' role='region' class='toggle_wrap  av-title-above'  ><div class='toggle_content invers-color'  itemprop=\"text\" ><p>The service anonymization does not stop to the anonymization of the data. It also includes operational support and continuous measurements of performance in order to maintain the quality, consistency and reliability of the results deidentificati. In particular, we conducted the following activities:<\/p>\n<ul>\n<li>Improve models of NLP<\/li>\n<li>Simplify incident response<\/li>\n<li>Manage requests for removal GDPR and CCPA<\/li>\n<li>Perform audits of data and processes<\/li>\n<\/ul>\n<\/div><\/div><\/div><\/section>\n<\/div><\/div>\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-6k0i8-bd3a354155f2981c9edac064c70685f7\">\n#top .hr.hr-invisible.av-6k0i8-bd3a354155f2981c9edac064c70685f7{\nheight:30px;\n}\n<\/style>\n<div  class='hr av-6k0i8-bd3a354155f2981c9edac064c70685f7 hr-invisible  avia-builder-el-39  el_after_av_one_full  avia-builder-el-last'><span class='hr-inner'><span class=\"hr-inner-style\"><\/span><\/span><\/div>\n<\/div><\/div><\/div><!-- close content main div --><\/div><\/div>\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-alqnc-527afffd862e0e65fb9b9e9ea1efecdf\">\n.avia-section.av-alqnc-527afffd862e0e65fb9b9e9ea1efecdf{\nbackground-repeat:no-repeat;\nbackground-image:url(https:\/\/www.talence.it\/wp-content\/uploads\/2024\/01\/rete-2.jpg);\nbackground-position:50% 50%;\nbackground-attachment:fixed;\n}\n.avia-section.av-alqnc-527afffd862e0e65fb9b9e9ea1efecdf .av-section-color-overlay{\nopacity:0.6;\nbackground-color:#000000;\n}\n<\/style>\n<div id='av_section_6'  class='avia-section av-alqnc-527afffd862e0e65fb9b9e9ea1efecdf main_color avia-section-huge avia-no-border-styling  avia-builder-el-40  el_after_av_section  avia-builder-el-last  avia-full-stretch avia-bg-style-fixed av-section-color-overlay-active container_wrap fullsize'  data-section-bg-repeat='stretch'><div class=\"av-section-color-overlay-wrap\"><div class=\"av-section-color-overlay\"><\/div><div class='container av-section-cont-open' ><div class='template-page content  av-content-full alpha units'><div class='post-entry post-entry-type-page post-entry-472'><div class='entry-content-wrapper clearfix'><\/p>","protected":false},"excerpt":{"rendered":"","protected":false},"author":2,"featured_media":499,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_mi_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[5],"tags":[9,7,6],"class_list":["post-472","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-sanita","tag-dl","tag-ia","tag-nlp"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.5 - 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