{"id":7321,"date":"2025-02-25T12:52:28","date_gmt":"2025-02-25T12:52:28","guid":{"rendered":"https:\/\/scai.kibu.ac.ke\/?p=7321"},"modified":"2025-12-24T02:07:28","modified_gmt":"2025-12-24T02:07:28","slug":"effective-approaches-for-enhancing-data-management-and-semantic-interoperability-within-the-healthcare-sector","status":"publish","type":"post","link":"https:\/\/kibu.ac.ke\/scai\/effective-approaches-for-enhancing-data-management-and-semantic-interoperability-within-the-healthcare-sector\/","title":{"rendered":"Effective approaches for enhancing data management and semantic interoperability within the healthcare sector"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"7321\" class=\"elementor elementor-7321\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-448ccedb elementor-section-full_width elementor-section-height-min-height elementor-section-items-stretch elementor-section-height-default\" data-id=\"448ccedb\" data-element_type=\"section\" id=\"ourgoal\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-79f95b25\" data-id=\"79f95b25\" data-element_type=\"column\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-4199d628 elementor-widget elementor-widget-theme-post-title elementor-page-title elementor-widget-heading\" data-id=\"4199d628\" data-element_type=\"widget\" data-widget_type=\"theme-post-title.default\">\n\t\t\t\t\t<h1 class=\"elementor-heading-title elementor-size-default\">Effective approaches for enhancing data management and semantic interoperability within the healthcare sector<\/h1>\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-604cbb95 elementor-section-height-min-height elementor-section-boxed elementor-section-height-default elementor-section-items-middle\" data-id=\"604cbb95\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-no\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-48fc8c60\" data-id=\"48fc8c60\" data-element_type=\"column\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-190de9ef elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"190de9ef\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-inner-column elementor-element elementor-element-1d78a8f2 elementor-invisible\" data-id=\"1d78a8f2\" data-element_type=\"column\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;animation&quot;:&quot;fadeIn&quot;,&quot;animation_mobile&quot;:&quot;none&quot;}\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-630cccfa elementor-widget__width-auto elementor-widget elementor-widget-heading\" data-id=\"630cccfa\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">2023<\/h2>\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-inner-column elementor-element elementor-element-70fbab7c elementor-invisible\" data-id=\"70fbab7c\" data-element_type=\"column\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;animation&quot;:&quot;fadeIn&quot;,&quot;animation_mobile&quot;:&quot;none&quot;}\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-609cd100 elementor-widget elementor-widget-heading\" data-id=\"609cd100\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">KIBU Authors<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-15e9ae4a elementor-invisible elementor-widget elementor-widget-text-editor\" data-id=\"15e9ae4a\" data-element_type=\"widget\" data-settings=\"{&quot;_animation&quot;:&quot;fadeIn&quot;}\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>Samuel Mbugua<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-inner-column elementor-element elementor-element-4ecfdb6e elementor-invisible\" data-id=\"4ecfdb6e\" data-element_type=\"column\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;animation&quot;:&quot;fadeIn&quot;,&quot;animation_mobile&quot;:&quot;none&quot;}\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-5dacdd91 elementor-tablet-align-left elementor-invisible elementor-widget elementor-widget-button\" data-id=\"5dacdd91\" data-element_type=\"widget\" data-settings=\"{&quot;_animation&quot;:&quot;fadeInLeft&quot;}\" data-widget_type=\"button.default\">\n\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-shrink\" href=\"https:\/\/www.allresearchjournal.com\/archives\/2023\/vol9issue9\/PartA\/9-8-18-675.pdf\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">VIEW ON PUBLISHER SITE<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-55f499a0 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"55f499a0\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-inner-column elementor-element elementor-element-2484b5ec elementor-invisible\" data-id=\"2484b5ec\" data-element_type=\"column\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;animation&quot;:&quot;fadeIn&quot;,&quot;animation_mobile&quot;:&quot;none&quot;}\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-5434ca6 elementor-widget elementor-widget-heading\" data-id=\"5434ca6\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Abstract<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-76705794 elementor-invisible elementor-widget elementor-widget-text-editor\" data-id=\"76705794\" data-element_type=\"widget\" data-settings=\"{&quot;_animation&quot;:&quot;fadeIn&quot;}\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>In a variety of contexts, Big Data is widely used. In healthcare Big Data has its own characteristics, including heterogeneity, incompleteness, timeliness and durability, privacy, and ownership. To enhance health-related science, these features present a number of challenges for data storage, mining, and sharing. Big Data helps to understand electronic health records, gather demographic and medical data such as clinical data, medical conditions and diagnosis, allow doctors to provide a wide variety of patients with quality health care and also to make informative decisions. The large volume of data also provides researchers in the fields of medicine and healthcare with the ability to use tools and techniques to unlock hidden solutions. This study sought to investigate the effects that the existing approaches have on enhancing data management and semantic interoperability in healthcare sector. 180 respondents who took part of the survey were chosen from the Kenyatta University Teaching, Referral &amp; Research Hospital. It was discovered that implementing health standards and tools can help healthcare companies in a number of ways by eliminating compatibility concerns and assuring accurate data representation. Consequently, encouraging successful adoption boosts decision-making processes, encourages sustainability, improves data quality, allows for interoperability, and makes it easier to comply with regulations. These implications help improve patient care, healthcare systems, and overall health outcomes.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>2023 KIBU Authors Samuel Mbugua VIEW ON PUBLISHER SITE Abstract In a variety of contexts, Big Data is widely used. In healthcare Big Data has its own characteristics, including heterogeneity, incompleteness, timeliness and durability, privacy, and ownership. To enhance health-related science, these features present a number of challenges for data storage, mining, and sharing. Big [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_header_footer","format":"standard","meta":{"footnotes":""},"categories":[10],"tags":[],"class_list":["post-7321","post","type-post","status-publish","format-standard","hentry","category-research-list"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.4 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Effective approaches for enhancing data management and semantic interoperability within the healthcare sector - School of Computing &amp; Informatics<\/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:\/\/kibu.ac.ke\/scai\/effective-approaches-for-enhancing-data-management-and-semantic-interoperability-within-the-healthcare-sector\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Effective approaches for enhancing data management and semantic interoperability within the healthcare sector - School of Computing &amp; Informatics\" \/>\n<meta property=\"og:description\" content=\"2023 KIBU Authors Samuel Mbugua VIEW ON PUBLISHER SITE Abstract In a variety of contexts, Big Data is widely used. In healthcare Big Data has its own characteristics, including heterogeneity, incompleteness, timeliness and durability, privacy, and ownership. To enhance health-related science, these features present a number of challenges for data storage, mining, and sharing. Big [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/kibu.ac.ke\/scai\/effective-approaches-for-enhancing-data-management-and-semantic-interoperability-within-the-healthcare-sector\/\" \/>\n<meta property=\"og:site_name\" content=\"School of Computing &amp; Informatics\" \/>\n<meta property=\"article:published_time\" content=\"2025-02-25T12:52:28+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-12-24T02:07:28+00:00\" \/>\n<meta name=\"author\" content=\"kibabii\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"kibabii\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"2 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/kibu.ac.ke\/scai\/effective-approaches-for-enhancing-data-management-and-semantic-interoperability-within-the-healthcare-sector\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/kibu.ac.ke\/scai\/effective-approaches-for-enhancing-data-management-and-semantic-interoperability-within-the-healthcare-sector\/\"},\"author\":{\"name\":\"kibabii\",\"@id\":\"https:\/\/kibu.ac.ke\/scai\/#\/schema\/person\/f24ef483cba6d32518303e5d7f89741d\"},\"headline\":\"Effective approaches for enhancing data management and semantic interoperability within the healthcare sector\",\"datePublished\":\"2025-02-25T12:52:28+00:00\",\"dateModified\":\"2025-12-24T02:07:28+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/kibu.ac.ke\/scai\/effective-approaches-for-enhancing-data-management-and-semantic-interoperability-within-the-healthcare-sector\/\"},\"wordCount\":235,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/kibu.ac.ke\/scai\/#organization\"},\"articleSection\":[\"Research List\"],\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/kibu.ac.ke\/scai\/effective-approaches-for-enhancing-data-management-and-semantic-interoperability-within-the-healthcare-sector\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/kibu.ac.ke\/scai\/effective-approaches-for-enhancing-data-management-and-semantic-interoperability-within-the-healthcare-sector\/\",\"url\":\"https:\/\/kibu.ac.ke\/scai\/effective-approaches-for-enhancing-data-management-and-semantic-interoperability-within-the-healthcare-sector\/\",\"name\":\"Effective approaches for enhancing data management and semantic interoperability within the healthcare sector - School of Computing &amp; 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