{"id":189960,"date":"2025-12-10T02:07:46","date_gmt":"2025-12-10T07:07:46","guid":{"rendered":"https:\/\/innowise.com\/?p=189960"},"modified":"2026-09-22T08:37:22","modified_gmt":"2026-09-22T12:37:22","slug":"ai-and-ml-in-clinical-data-management","status":"publish","type":"post","link":"https:\/\/innowise.com\/nl\/blog\/ai-and-ml-in-clinical-data-management\/","title":{"rendered":"AI &amp; ML in beheer van klinische gegevens: voordelen voor gegevensanalyse en besluitvorming"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"189960\" class=\"elementor elementor-189960\">\n\t\t\t\t<div class=\"elementor-element elementor-element-d8b3b77 main-block e-flex e-con-boxed e-con e-parent\" data-id=\"d8b3b77\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-dda27d3 elementor-widget__width-initial elementor-widget elementor-widget-html\" data-id=\"dda27d3\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<style>\n    .blackUl-sm{\n        padding: 0;\n        display: flex;\n        flex-direction: column;\n        gap: 10px;\n        padding-left: 30px;\n    }\n    \n    @media (max-width: 767px){\n       .blackUl-sm{\n           gap: 8px;\n           padding-left: 24px;\n       } \n    }\n<\/style>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d271cba elementor-widget-tablet__width-inherit elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"d271cba\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h1 class=\"elementor-heading-title elementor-size-default\">AI &amp; ML in clinical data management: benefits for data analysis &amp; decision-making<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-06bb041 elementor-widget__width-initial elementor-widget elementor-widget-html\" data-id=\"06bb041\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"blog-article-info\">\r\n    <div class=\"blog-article-info_other\">\r\n        <span>Dec 10, 2025<\/span>\r\n        <span>9 min read<\/span>\r\n  <\/div>\r\n<\/div>\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-a11e39c elementor-hidden-desktop elementor-hidden-tablet e-flex e-con-boxed e-con e-parent\" data-id=\"a11e39c\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-1e84283 elementor-widget elementor-widget-image\" data-id=\"1e84283\" 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 fetchpriority=\"high\" decoding=\"async\" width=\"440\" height=\"330\" src=\"https:\/\/innowise.com\/wp-content\/uploads\/2025\/12\/Small-cover_AI-ML-in-clinical-data-management.jpg\" class=\"attachment-large size-large wp-image-190070\" alt=\"AI &amp; ML in clinical data management: benefits for data analysis &amp; decision-making.\" srcset=\"https:\/\/innowise.com\/wp-content\/uploads\/2025\/12\/Small-cover_AI-ML-in-clinical-data-management.jpg 440w, https:\/\/innowise.com\/wp-content\/uploads\/2025\/12\/Small-cover_AI-ML-in-clinical-data-management-300x225.jpg 300w, https:\/\/innowise.com\/wp-content\/uploads\/2025\/12\/Small-cover_AI-ML-in-clinical-data-management-16x12.jpg 16w\" sizes=\"(max-width: 440px) 100vw, 440px\" \/>\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\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-8f98fe0 article-description e-flex e-con-boxed e-con e-parent\" data-id=\"8f98fe0\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-3e49c1e author-article e-con-full e-flex e-con e-child\" data-id=\"3e49c1e\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t<div class=\"elementor-element elementor-element-c88ce1d e-con-full e-flex e-con e-child\" data-id=\"c88ce1d\" data-element_type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-1c9da97 e-con-full e-flex e-con e-child\" data-id=\"1c9da97\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-1f575b9 elementor-widget elementor-widget-shortcode\" data-id=\"1f575b9\" data-element_type=\"widget\" data-widget_type=\"shortcode.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-shortcode\">\n    <div class=\"expert_card-container\">\n        <div class=\"expert_card-top\">\n            <div class=\"expert_card-top-img\">\n                                    <img decoding=\"async\" src=\"https:\/\/innowise.com\/wp-content\/uploads\/2026\/03\/Roman-Sen-1.png\" alt=\"Roman Sen, Head of Data-Driven Life Sciences..\">\n                                                <a href=\"https:\/\/www.linkedin.com\/in\/senroman\/\" class=\"expert_card-top-img-link\" target=\"_blank\" rel=\"noopener noreferrer\">\n                    <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"40\" height=\"40\" viewBox=\"0 0 40 40\" fill=\"none\">\n                        <rect width=\"40\" height=\"40\" rx=\"20\" fill=\"#E8E8E8\"\/>\n                        <path d=\"M10.0002 12.8001C10.0002 11.4802 10.0002 10.8202 10.4102 10.4102C10.8203 10.0001 11.4802 10.0001 12.8002 10.0001H27.2002C28.5201 10.0001 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16.2633 14.5077 16.2633C15.4631 16.2632 16.237 15.483 16.237 14.5207C16.237 13.5583 15.4632 12.7778 14.5077 12.7778Z\" fill=\"#2867B2\"\/>\n                    <\/svg>\n                <\/a>\n                            <\/div>\n            <div class=\"expert_card-top-right\">\n                <div class=\"expert_card-top-name\">\n                    By <a href=\"https:\/\/innowise.com\/nl\/authors\/roman-sen\/\">Roman Sen<\/a>\n                <\/div>\n                                <div class=\"expert_card-top-position\">\n                    Head of Data-Driven Life Sciences                <\/div>\n                                <div class=\"expert_card-top-right-bottom desc\">\n                    <div class=\"expert_card-top-ver\">\n                        <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"18\" height=\"18\" viewBox=\"0 0 18 18\" fill=\"none\"><path d=\"M17.486 9.00039L15.6037 6.8481L15.866 4.00153L13.0811 3.36896L11.6231 0.900391L9.00024 2.02668L6.37738 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They understand the topic beyond theory and bring insight from real projects.\n                            <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"16\" height=\"8\" viewBox=\"0 0 16 8\" fill=\"none\">\n                                <path d=\"M8 8L16 0L6.99382e-07 -1.39876e-06L8 8Z\" fill=\"#717171\"\/>\n                            <\/svg>\n                        <\/div>\n                    <\/div>\n                    \n                                        <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"3\" height=\"3\" viewBox=\"0 0 3 3\" fill=\"none\"><path d=\"M1.5 0C2.32843 0 3 0.671573 3 1.5C3 2.32843 2.32843 3 1.5 3C0.671573 3 0 2.32843 0 1.5C0 0.671573 0.671573 0 1.5 0Z\" fill=\"#717171\"\/><\/svg>                    <div class=\"expert_card-top-year\">\n                        11+ years of experience                    <\/div>\n                                    <\/div>\n            <\/div>\n        <\/div>\n        <div class=\"expert_card-top-right-bottom mob\">\n            <div class=\"expert_card-top-ver\">\n                <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"18\" height=\"18\" viewBox=\"0 0 18 18\" fill=\"none\"><path d=\"M17.486 9.00039L15.6037 6.8481L15.866 4.00153L13.0811 3.36896L11.6231 0.900391L9.00024 2.02668L6.37738 0.900391L4.91938 3.36125L2.13453 3.9861L2.39681 6.84039L0.514526 9.00039L2.39681 11.1527L2.13453 14.007L4.91938 14.6395L6.37738 17.1004L9.00024 15.9664L11.6231 17.0927L13.0811 14.6318L15.866 13.9992L15.6037 11.1527L17.486 9.00039Z\" fill=\"#717171\"\/><path d=\"M12.2783 7.55371L8.10059 11.7324L5.72168 9.35352L6.42871 8.64648L8.09961 10.3174L11.5713 6.84668L12.2783 7.55371Z\" fill=\"white\"\/><\/svg>                Verified expert\n                \n            <\/div>\n                        <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"3\" height=\"3\" viewBox=\"0 0 3 3\" fill=\"none\"><path d=\"M1.5 0C2.32843 0 3 0.671573 3 1.5C3 2.32843 2.32843 3 1.5 3C0.671573 3 0 2.32843 0 1.5C0 0.671573 0.671573 0 1.5 0Z\" fill=\"#717171\"\/><\/svg>            <div class=\"expert_card-top-year\">\n                11+ years of experience            <\/div>\n                    <\/div>\n                <div class=\"expert_card-text\">\n            Roman leads the charge in AI-driven drug discovery and clinical research. He specializes in turning fragmented medical data into high-performance analytical tools that accelerate innovation in labs and transform modern life sciences practices.        <\/div>\n                <div class=\"expert_card-bottom\">\n\t\t\t<div class=\"expert_card-bottom-col\">\n\t\t\t\t\t\t\t\t<div class=\"expert_card-bottom-expertise\">\n\t\t\t\t\t<div class=\"expert_card-bottom-expertise-title\">\n\t\t\t\t\t\tExpertise\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<div class=\"expert_card-bottom-expertise-list\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tLife sciences &amp; pharma\t\t\t\t\t\t\t\t\t\t\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"3\" height=\"3\" viewBox=\"0 0 3 3\" fill=\"none\"><path d=\"M1.5 0C2.32843 0 3 0.671573 3 1.5C3 2.32843 2.32843 3 1.5 3C0.671573 3 0 2.32843 0 1.5C0 0.671573 0.671573 0 1.5 0Z\" fill=\"#717171\"\/><\/svg>\t\t\t\t\t\t\tHealthcare IT\t\t\t\t\t\t\t\t\t\t\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"3\" height=\"3\" viewBox=\"0 0 3 3\" fill=\"none\"><path d=\"M1.5 0C2.32843 0 3 0.671573 3 1.5C3 2.32843 2.32843 3 1.5 3C0.671573 3 0 2.32843 0 1.5C0 0.671573 0.671573 0 1.5 0Z\" fill=\"#717171\"\/><\/svg>\t\t\t\t\t\t\tML\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"expert_card-bottom-featured\">\n\t\t\t\t\t<div class=\"expert_card-bottom-expertise-title\">\n\t\t\t\t\t\tFeatured in\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<div class=\"expert_card-bottom-featured-imgs\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/innowise.com\/wp-content\/uploads\/2026\/09\/Voka_pharma.svg\" alt=\"Voka_pharma logo.\">\n\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\n            <a href=\"#contact-form\" class=\"expert_card-bottom-a\">\n                Let's talk\n            <\/a>\n        <\/div>\n    <\/div>\n\n    <style>\n        .expert_card-container{\n            max-width:1000px;\n            width:100%;\n            padding:40px 60px;\n      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class=\"elementor-heading-title elementor-size-default\">Key takeaways<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f2e3a88 elementor-widget elementor-widget-text-editor\" data-id=\"f2e3a88\" 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\t\t<ul class=\"blackUl\"><li style=\"font-weight: 400;\" aria-level=\"1\">The top clinical data AI use cases are medical coding, data reconciliation, data structuring and analysis, and anomaly detection.<\/li><li style=\"font-weight: 400;\" aria-level=\"1\">CROs, clinics, pharma, and biotech companies that have implemented AI for clinical data management enjoy cycle-time compression, better data quality, and decision-making.<\/li><li style=\"font-weight: 400;\" aria-level=\"1\">Even though the benefits are lucrative, there are many potential risks of implementing clinical data management AI, like data drift and privacy concerns. If ignored, the credibility of the clinical data will be compromised.<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-fca28db e-con-full e-flex e-con e-child\" data-id=\"fca28db\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-1aa6862 elementor-widget elementor-widget-shortcode\" data-id=\"1aa6862\" data-element_type=\"widget\" data-widget_type=\"shortcode.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-shortcode\">[summarize_button_ai]<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6584730 elementor-widget elementor-widget-shortcode\" data-id=\"6584730\" data-element_type=\"widget\" data-widget_type=\"shortcode.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-shortcode\">[summarize_button_google]<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0b6e02e elementor-absolute elementor-widget elementor-widget-html\" data-id=\"0b6e02e\" data-element_type=\"widget\" data-settings=\"{&quot;_position&quot;:&quot;absolute&quot;}\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<style>\n    @media (max-width: 768px) {\n        .summarize_ai_button, .summarize_google_button {\n            width: 100%;\n            justify-content: center;\n        }\n    }\n<\/style>\t\t\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-eec6630 elementor-widget elementor-widget-text-editor\" data-id=\"eec6630\" 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\t\t<p>Just a decade ago, clinical data came from a limited number of sources. Now, things have shifted. Half of clinical trials <a href=\"https:\/\/www.dovepress.com\/bridging-the-past-and-future-of-clinical-data-management-the-transform-peer-reviewed-fulltext-article-OAJCT\" target=\"_blank\" rel=\"noopener nofollow\">manage<\/a> data from <strong>at least 1\u20135 distinct sources<\/strong>, which comes hand-in-hand with processing and management complexities. The clinical teams juggle data from many different systems, each of them following its own logic. And because of that, companies spend more time cleaning and reconciling datasets than actually using them.<\/p><p>It\u2019s only natural that contract research organizations, biotech, and pharma companies turn to <a href=\"https:\/\/innowise.com\/blog\/artificial-intelligence-healthcare\/\">artificial intelligence<\/a> as a way out. Indeed, this hyped up technology seems to be an easy answer: it can structure various data types easily and derive insights from them faster. And yet, a <a href=\"https:\/\/www.veeva.com\/blog\/whats-driving-clinical-data-innovation-now-notes-from-the-front-lines-of-change\/\" target=\"_blank\" rel=\"noopener nofollow\">survey done by Veeva<\/a> shows that <strong>industry leaders have mixed feelings about AI<\/strong> in clinical data management.<\/p><p>In this article, I\u2019ll be straightforward and share what my team and I have learned while building solutions with AI and ML in clinical data management. I\u2019ll cover where AI-powered clinical data platforms help, what to watch out for, and how to roll them out error-free.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-aa9379a e-con-full e-flex e-con e-child\" data-id=\"aa9379a\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-9bd3a8a elementor-widget elementor-widget-text-editor\" data-id=\"9bd3a8a\" 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\t\t<h2>What AI in CDM means\u00a0<\/h2><p>Put simply, AI in CDM is about using automation and machine learning algorithms in clinical data processing to make sense of the massive datasets generated during trials. Instead of handling everything manually \u2014 cleaning data, encoding it, and validating \u2014 clinical teams get support in these tasks from AI-powered tools. In turn, they help standardize records, detect patterns and anomalies, and speed up the <a href=\"https:\/\/innowise.com\/pharma\/clinical-data-management\/\">clinical data management<\/a> process.<\/p><p>When I talk about AI-powered clinical data review tools, I tend to break them down into five simple categories.<\/p><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><strong>Supervised machine learning:<\/strong> models are trained on labeled examples (e.g., historical coding data or clean CRF datasets) to detect discrepancies, suggest mappings, and ensure AI-based outlier identification.<\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><strong>Natural language processing (NLP):<\/strong> AI extracts structure from free text (physician notes, adverse event reports, or medical image comments) and turns words into entities ready for analysis.<\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><strong>Knowledge graphs:<\/strong> connect entities like patients, records, or lab results into networks, revealing relationships and missing links between them.<\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><strong>Rules and ML hybrids:<\/strong><span style=\"font-weight: 400;\"> this category combines defined business rules and ML algorithms to get the best of two worlds, following rigid requirements and catching subtle anomalies.<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><strong>Generative AI copilots:<\/strong> <span style=\"font-weight: 400;\">functioning as virtual assistants, they help draft edit checks, make coding suggestions, or reconciliation notes (which are always reviewed by humans before approval).<\/span><\/li><\/ul><p><strong>Important note:<\/strong> In this highly regulated area, AI assists humans, it doesn\u2019t act on a whim. Here\u2019s an example. An AI-based clinical data review system may highlight a suspicious value or suggest a MedDRA term, but the final call must come from a data manager or medical coder. It means reducing manual data cleaning with AI and minimizing risks.<\/p>\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-c635979 elementor-widget elementor-widget-shortcode\" data-id=\"c635979\" data-element_type=\"widget\" data-widget_type=\"shortcode.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-shortcode\">[blog_related_services title=\"Check our related services\" post_in='183673,193098,32027']<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-ca616ad e-con-full e-flex e-con e-child\" data-id=\"ca616ad\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-7d5b55f smaller-gap-h3 elementor-widget elementor-widget-text-editor\" data-id=\"7d5b55f\" 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\t\t<h2>High-impact use cases of AI in CDM<\/h2><p>Let me be honest: AI doesn\u2019t magically fix all clinical data management problems. But it does take a lot of the mechanical load off people. When you think about implementing an AI clinical data review process, you should <strong>carefully choose the specific cases you want to address.<\/strong> Don\u2019t mindlessly push top AI tools for clinical data management. I suggest looking into these use cases: they are lower-risk, yet bring instant results.<\/p><h3>AI-assisted medical coding<\/h3><p>Medical coding used to feel like an endless cycle. The same terms, typed a dozen different ways. AI in clinical data review now learns from historical coding data and suggests the right dictionary terms instantly. Coder reviews are still required, but manual lookups drop sharply. You get less grunt work, more consistency, and full auditability.<\/p><h3>AI-assisted data reconciliation<\/h3><p>Teams can lose days reconciling mismatched data between EDC, lab systems, and devices. Hybrid models combining rules &amp; ML power automated discrepancy detection, meaning they can now catch those mismatches in minutes. They flag missing values or errors early and send them to humans for review.\u00a0<\/p><h3>Adverse events &amp; unstructured notes analysis<\/h3><p>Those narrative adverse event descriptions that once felt impossible to analyze? NLP tools read them, extract entities, normalize terms, and point out contradictions that are hard to spot manually. And if you add to the mix pattern recognition in adverse event reporting, you\u2019ll gain even deeper insight.<\/p><h3>Anomaly detection in clinical datasets<\/h3><p>AI models monitor data in real time, catching odd site patterns or anomalies before they escalate. This lets teams focus on monitoring where it matters most instead of combing through everything. Obvious benefits here: fewer false alarms, better oversight, and cleaner datasets overall.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-30cd8e1 e-con-full e-flex e-con e-child\" data-id=\"30cd8e1\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t<div class=\"elementor-element elementor-element-b7f5a8f e-con-full e-flex e-con e-child\" data-id=\"b7f5a8f\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-c6d3428 elementor-widget-tablet__width-inherit elementor-widget__width-initial max100 elementor-widget elementor-widget-heading\" data-id=\"c6d3428\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Bring AI into your clinical data pipeline<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-ced8777 e-con-full e-flex e-con e-child\" data-id=\"ced8777\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-e313cfd elementor-absolute elementor-widget-mobile__width-inherit transform cta1 elementor-widget elementor-widget-html\" data-id=\"e313cfd\" data-element_type=\"widget\" data-settings=\"{&quot;_position&quot;:&quot;absolute&quot;}\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"wave-container\"><\/div>\r\n\r\n<style>\r\n  .wave-container {\r\n    width: 400px;\r\n    height: 400px;\r\n  }\r\n\r\n  @media(max-width: 767px) {\r\n    .wave-container {\r\n      width: 100%;\r\n      height: 100%;\r\n    }\r\n  }\r\n\r\n\r\n  .wave {\r\n    position: absolute;\r\n    border: 1px solid rgba(210, 184, 214, 1);\r\n    border-radius: 50%;\r\n    animation: drop 16s infinite;\r\n    top: 50%;\r\n    left: 50%;\r\n    transform: translate(-50%, -50%);\r\n    box-sizing: border-box;\r\n  }\r\n\r\n  @keyframes drop {\r\n    0% {\r\n      width: 0px;\r\n      height: 0px;\r\n      border: 1px solid rgba(210, 184, 214, 1);\r\n    }\r\n\r\n    100% {\r\n      width: 400px;\r\n      height: 400px;\r\n      border: 1px solid rgba(210, 184, 214, 0);\r\n    }\r\n  }\r\n<\/style>\r\n\r\n<script>\r\n\r\n  document.addEventListener('DOMContentLoaded', () => {\r\n    function createWaves(numberOfWaves) {\r\n      const waveContainers = document.querySelectorAll('.cta1 .wave-container');\r\n\r\n      waveContainers.forEach((waveContainer) => {\r\n        for (let i = 0; i < numberOfWaves; i++) {\r\n          const wave = document.createElement('div');\r\n          wave.classList.add('wave');\r\n\r\n          wave.style.animationDelay = `${i * 0.8}s`;\r\n\r\n          waveContainer.appendChild(wave);\r\n        }\r\n      });\r\n    }\r\n\r\n    createWaves(10)\r\n  });\r\n<\/script>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-aa23110 elementor-align-left elementor-widget__width-initial elementor-widget-mobile__width-inherit cta-btn elementor-widget elementor-widget-button\" data-id=\"aa23110\" 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\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"#contact-form\">\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\">Schedule a call<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-954f9dd e-con-full e-flex e-con e-child\" data-id=\"954f9dd\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-7b32894 smaller-gap-h3 elementor-widget elementor-widget-text-editor\" data-id=\"7b32894\" 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\t\t<h2>Benefits of AI in clinical trial data analysis<\/h2><h3>Cycle-time compression<\/h3><p>AI helps teams buy more time and complete trials faster without cutting corners. Trial timelines tighten by double-digit percentages when you simply let AI handle repetitive things like data coding and mapping.<\/p><h3>Better data quality &amp; traceability<\/h3><p>When AI assists with tedious manual tasks, consistency improves across the board. These tools catch subtle discrepancies humans might overlook and support faster responses to queries. Built-in audit trails and traceable suggestions make every action explainable.\u00a0<\/p><h3>Improved data processing<\/h3><p>Humans can process only a limited amount of clinical data, but not AI. As data sources multiply, AI can scale alongside. It processes multimodal inputs in near real time and flags what needs attention or approval. That lets you handle growing data volumes without adding headcount.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-0aeac25 e-con-full e-flex e-con e-child\" data-id=\"0aeac25\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-4f50ed3 elementor-widget elementor-widget-text-editor\" data-id=\"4f50ed3\" 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\t\t<h2>Risks, constraints, and ways to cope with them<\/h2><h3>Data drift, bias, and lack of explainability<\/h3><p>AI models are only as good as the data they learn from. In clinical environments, even small shifts in input data can quietly degrade model accuracy. Bias in historical datasets can also skew predictions.<\/p><p><strong>How to handle:<\/strong> My rule is simple: track everything. Log data sources, monitor model performance, and keep version control for both datasets and algorithms. Ensure explainability: store confidence scores, generate summaries of model reasoning.<\/p><h3>Insufficient or one-time AI model validation<\/h3><p>A model that works accurately today can subtly deviate over time and fail.<\/p><p><strong>How to handle:<\/strong> Treat AI model validation as a living process. Specify performance metrics, split data into training and holdout sets, and re-evaluate models regularly. Tie validation reports directly to SOPs so they\u2019re discoverable during audits. This way, every model change has a paper trail and a clear approval path. And without regular testing, retraining, and documentation, AI only becomes a liability.\u00a0<\/p><h3>Privacy and security gaps<\/h3><p>Clinical data relies on PHI, and one sloppy design decision can breach compliance and put your clinical study at risk.<\/p><p><strong>How to handle:<\/strong> Questions like \u201cHow can I ensure data security in AI-generated clinical notes?\u201d or \u201cWhat about GDPR and AI in healthcare data processing?\u201d can not be ignored. You should architect for privacy from the very beginning. You need to set up security controls to avoid PHI exposure, apply strict role-based access rules, and anonymize the data where possible.\u00a0<\/p><p>I also recommend keeping detailed audit trails for AI-driven data decisions, record edits, access, or model changes. To ensure GDPR and HIPAA compliance for AI in clinical data, it\u2019s best to engage experienced regulatory consultants.<\/p><h3>Change management issues<\/h3><p>AI implementation often fails because the process stays the same while the tools change. Clinical teams are unsure where their work begins or ends.<\/p><p><strong>How to handle:<\/strong> Treat AI adoption as an organizational project. Update SOPs, redefine roles, and invest in hands-on training. Let people pilot the system, challenge its outputs, and build confidence gradually. Done right, it turns skepticism into trust.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-b8441ee e-con-full e-flex e-con e-child\" data-id=\"b8441ee\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-dd3a643 smaller-gap-h3 elementor-widget elementor-widget-text-editor\" data-id=\"dd3a643\" 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\t\t<h2>AI in CDM: build vs. buy<\/h2><p>When you\u2019re sold on the idea of AI for CDM, you naturally start thinking whether to build something custom or adopt an existing platform. Well, there\u2019s no definitive answer to that question. You should factor in things like how unique your data ecosystem is, how flexible your workflows need to be, and how tightly you need to control validation. Here\u2019s a quick look at how to make this decision.<\/p><h3>When platforms win<\/h3><p>Off-the-shelf AI modules are optimal when your study data flows through established systems like EDCs, ePRO, etc. Mature platforms already include configurable modules for coding, reconciliation, and data cleaning, meaning less time reinventing the wheel. They\u2019re ideal for teams that prioritize compliance, <a href=\"https:\/\/innowise.com\/blog\/healthcare-data-integration\/\">data integration<\/a>, and faster setup over full customization. You trade a bit of flexibility for adoption speed.<\/p><h3>When custom builds win<\/h3><p>If your data comes from nonstandard sources (imaging systems, wearables, custom apps, etc.), it\u2019s unlikely a platform will cover all of them. So a custom AI pipeline makes sense. And if your trial is highly specific, tailored models may also be a better option compared to standard engines. Mind you, custom systems take longer to validate but deliver real precision.<\/p><h3>When hybrid is the best option<\/h3><p>The sweet spot lies somewhere in between. Plug in proven platform components for routine tasks, then extend them with custom ML microservices via APIs. That covers all the bases: core workflows run like clockwork, and you get to innovate on top of that.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-9cc41d7 e-con-full e-flex e-con e-child\" data-id=\"9cc41d7\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-f53f84c elementor-widget elementor-widget-text-editor\" data-id=\"f53f84c\" 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\t\t<h2>Implementing data science and AI in clinical decision making<\/h2><p>Even though the potential of AI is huge, just think about AI for query generation in CDMS, deep learning for unstructured clinical data, and things like that. But the best way to go is to start small. In my experience, the teams that go for incremental AI deployment with rigorous validation are the happiest about their setup.<\/p><p>My advice: build one use case, make sure it works well, document the process, and then move to the next. This approach works like a charm, given the strict safety, security, and compliance requirements dominating the industry.<\/p><p>If you\u2019re considering where to begin, we at Innowise are ready to help. Our team has built AI solutions for clinical trial efficiency and can assist in developing <a href=\"https:\/\/innowise.com\/blog\/ai-in-drug-discovery\/\">AI drug discovery software<\/a>, <a href=\"https:\/\/innowise.com\/blog\/predictive-analytics-in-healthcare\/\">predictive analytics platforms<\/a>, <a href=\"https:\/\/innowise.com\/blog\/benefits-of-data-analytics-in-healthcare\/\">healthcare data analysis systems<\/a>, and other solutions.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-26b1173 e-con-full e-flex e-con e-child\" data-id=\"26b1173\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-ee29495 elementor-widget elementor-widget-shortcode\" data-id=\"ee29495\" data-element_type=\"widget\" data-widget_type=\"shortcode.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-shortcode\">[post_share]<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-b9278ad table-content-container e-con-full e-flex e-con e-child\" data-id=\"b9278ad\" data-element_type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-20b9f09 e-con-full stickyTable e-flex e-con e-child\" data-id=\"20b9f09\" data-element_type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-b5f72e2 author-block e-con-full e-flex e-con e-child\" data-id=\"b5f72e2\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-cfaf1d7 ddcv elementor-widget elementor-widget-html\" data-id=\"cfaf1d7\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<style>\r\n\r\n.article-description > .e-con-inner{\r\n     align-items: flex-start !important;\r\n}\r\n\r\n.table-content-container {\r\n    position: sticky;\r\n    top: 72px;\r\n    bottom: auto;   \r\n}  \r\n\r\n<\/style>\r\n\r\n<script>\r\ndocument.addEventListener(\"DOMContentLoaded\", ()=>{\r\n        \r\nconst headerElement = document.querySelector(\".new-menu\");\r\n\r\nconst stickyElement = document.querySelector(\".table-content-container\");\r\n\r\nconst headerElementH = headerElement.clientHeight;\r\n\r\nstickyElement.style.top =  headerElementH + 60 + \"px\"\r\n        \r\n});\r\n<\/script>\r\n\r\n\r\n<!--NOTE Change data-id in wrapper styles for hide this block on the mobile device screen-->\r\n<div class=\"toc-wrapper\">\r\n  <h4 class=\"toc-title\">Table of contents<\/h4>\r\n  <div class=\"toc toc-2\"><\/div>\r\n<\/div>\r\n\r\n<script>\r\n  \/\/NOTE Add the value from h2 as the key and the text you want to display as the key value in LINKS variable:\r\n  \/\/   const LINKS = {\r\n  \/\/       \"The demand for retail digital transformation\": \"The demand\"\r\n  \/\/   }\r\n\r\n  \r\n  \/\/NOTE Add the value from h2 as the key and the text you want to display as the key value in LINKS variable:\r\n  \/\/   const LINKS = {\r\n  \/\/       \"The demand for retail digital transformation\": \"The demand\"\r\n  \/\/   }\r\n\r\n  const LINKS = {\r\n    \"Unleashing the power of .NET 8\": \"gggggg\",\r\n    \"Revamping legacy systems: unlocking business potential through software modernization\":\r\n      \"hello\",\r\n  };\r\n\r\n  const OFFSET = 70;\r\n   const PADDING_BOTTOM_FOR_SCROLL = 100;\r\n  let headerList = [];\r\n  let allLinks = [];\r\n  \r\n  let ticking = false;\r\n     \r\n\r\n  const createList = () => {\r\n      \r\n      console.log('create');\r\n      \r\n      \r\n    const tocTarget = document.querySelector(\".toc.toc-2\");\r\n    const toc = document.createElement(\"ul\");\r\n    \r\n    \r\n    \r\n     headerList = [...document.querySelectorAll(\"h2\")];\r\n\r\n\r\n    \r\n    headerList = headerList.slice(0, -3);\r\n    \r\n    const filteredNodes = [document.querySelector(\".related_content_blog_container h2\")]\r\n    \r\n    headerList = headerList.filter((node)=> !filteredNodes.includes(node))\r\n    \r\n    \r\n   headerList.forEach((header,index) => {\r\n      const headerId = header.getAttribute(\"id\");\r\n      const headerText =\r\n        header.dataset.title && header.dataset.title !== \"\"\r\n          ? header.dataset.title\r\n          : header.textContent;\r\n          \r\n\r\n      const headerTocText = header.dataset.title;\r\n\r\n      const idFromText =\r\n        !headerId || headerId === \"\"\r\n          ? headerText\r\n              .toLowerCase()\r\n              .replace(\/[^\\w ]+\/g, \"\")\r\n              .replace(\/ +\/g, \"-\")\r\n          : headerId;\r\n          \r\n         \r\n\r\n      const newListItem = document.createElement(\"li\");\r\n      const newLink = document.createElement(\"a\");\r\n      newLink.setAttribute(\"href\", \"#\" + idFromText);\r\n      newLink.textContent = LINKS[headerText] || headerText;\r\n\r\n      newLink.addEventListener(\"click\", (e) => {\r\n          \r\n        e.preventDefault();\r\n        const y =\r\n          header.getBoundingClientRect().top +\r\n          window.pageYOffset -\r\n          PADDING_BOTTOM_FOR_SCROLL -\r\n          OFFSET;\r\n          ticking = true; \r\n        window.scrollTo({ top: y, behavior: \"smooth\" });\r\n        \r\n        setTimeout(()=>{\r\n            ticking = false;\r\n        },500);\r\n        \r\n      });\r\n      \r\n\r\n      newListItem.appendChild(newLink);\r\n    toc.appendChild(newListItem);\r\n    \r\n    \r\n    });\r\n    tocTarget.appendChild(toc);\r\n    allLinks = Array.from(document.querySelector(\".toc.toc-2\").querySelectorAll(\"ul li\"));\r\n  };\r\n\r\n  const setContainerHeight = () => {\r\n    const windowHeight = window.innerHeight;\r\n    const tocContainer = document.querySelector(\".ddcv\");\r\n\r\n    tocContainer.style.maxHeight = \"calc(100vh - 230px)\";\r\n    tocContainer.style.minHeight = \"200px\";\r\n  };\r\n\r\n\r\n  const checkScroll = () => {\r\n      const windowHeight = window.innerHeight;\r\n      const scrollTop = window.scrollY || document.documentElement.scrollTop;\r\n\r\n      let selectedHeaderIndex = -1;\r\n      \r\n      \/\/console.log('headerList', headerList)\r\n      headerList.forEach((header, index) => {\r\n        \r\n  const posTop = header.getBoundingClientRect().top;\r\n       \r\n\r\n const isInViewport = posTop + elem.clientHeight <= window.innerHeight ;\r\n \r\n \r\n\r\n \r\n if(isInViewport){\r\n      selectedHeaderIndex = index;\r\n }\r\n\r\n      });\r\n      \r\n\r\n\r\n        allLinks.forEach((link, i) => {\r\n            if(i === selectedHeaderIndex){\r\n              link.classList.remove(\"pre-active\");  \r\n              link.classList.add(\"active\");\r\n            }\r\n            if(i < selectedHeaderIndex){\r\n              link.classList.add(\"pre-active\"); \r\n               link.classList.remove(\"active\");\r\n            }\r\n             if(i > selectedHeaderIndex){\r\n            link.classList.remove(\"pre-active\");\r\n            link.classList.remove(\"active\");\r\n            }\r\n            \r\n            \r\n            \r\n        });\r\n        \r\n\r\n\r\n  };\r\n\r\n  const loadAllImages = () => {\r\n    const images = document.getElementsByTagName(\"img\");\r\n\r\n    for (let i = 0; i < images.length; i++) {\r\n      const img = images[i];\r\n      const src = img.getAttribute(\"data-src\") || img.src;\r\n      img.src = src;\r\n    }\r\n  };\r\n\r\n  loadAllImages();\r\n  \r\n  \r\n  \r\n\r\n\r\n  document.addEventListener(\"DOMContentLoaded\", () => {\r\n      \r\n      \r\n     setTimeout(()=>{\r\n           createList();\r\n    setContainerHeight();\r\n  \r\n    \r\n    document.addEventListener(\"scroll\", (event) => {\r\n  if (!ticking) {\r\n    checkScroll();\r\n  }\r\n});\r\n    \r\n    \r\n},300) \r\n\r\n    \r\n  });\r\n  \r\n<\/script>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\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-327e585 e-flex e-con-boxed e-con e-parent\" data-id=\"327e585\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-707fbde elementor-widget elementor-widget-shortcode\" data-id=\"707fbde\" data-element_type=\"widget\" data-widget_type=\"shortcode.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-shortcode\">\n<div class=\"wpcf7 no-js\" id=\"wpcf7-f100240-o1\" lang=\"en-US\" dir=\"ltr\" data-wpcf7-id=\"100240\">\n<div class=\"screen-reader-response\"><p role=\"status\" aria-live=\"polite\" aria-atomic=\"true\"><\/p> <ul><\/ul><\/div>\n<form action=\"\/nl\/wp-json\/wp\/v2\/posts\/189960#wpcf7-f100240-o1\" method=\"post\" class=\"wpcf7-form init\" aria-label=\"Contact form\" enctype=\"multipart\/form-data\" novalidate=\"novalidate\" data-status=\"init\">\n<fieldset class=\"hidden-fields-container\"><input type=\"hidden\" name=\"_wpcf7\" value=\"100240\" \/><input type=\"hidden\" name=\"_wpcf7_version\" value=\"6.1.6\" \/><input type=\"hidden\" name=\"_wpcf7_locale\" value=\"en_US\" \/><input type=\"hidden\" name=\"_wpcf7_unit_tag\" value=\"wpcf7-f100240-o1\" \/><input type=\"hidden\" name=\"_wpcf7_container_post\" value=\"0\" \/><input type=\"hidden\" name=\"_wpcf7_posted_data_hash\" value=\"\" \/><input type=\"hidden\" name=\"_wpcf7_recaptcha_response\" value=\"\" \/>\n<\/fieldset>\n<style>\n.mailToContact br:nth-child(2){\ndisplay:none;\n}\n#form-templates .contact__info {\n  background-color: #f4f4f4;\n  padding: 70px 44px 70px 50px;\n  position: relative;\n  max-width: 540px;\n  width: 100%;\nborder: 1px solid #AEB1B7;\n}\n\n#form-templates .contact__info-background {\n  z-index: -1;\n  position: absolute;\n  top: 20px;\n  left: 20px;\n  width: 100%;\n  height: 100%;\n  border: 1px dashed #ef4557;\n}\n\n\n#form-templates .new-container{\ndisplay: flex;\njustify-content: space-between;\nflex-wrap: wrap;\n}\n\n\n#form-templates{\npadding: 100px 15px 100px 15px;        \n}\n\n#form-templates .contact__info-heading {\n  font-family: 'Sora' !important;\n  font-style: normal !important;\n  font-weight: 400 !important;\n  font-size: 36px !important;\n  line-height: 46px !important;\n  color: #2E2E2E !important;\n   margin-bottom: 60px !important;\n\n}\n\n\n#form-templates .message label{\ncolor: #585858 !important;   \n}\n\n.elementor-widget-container.form-template h2,.elementor-widget-container.form-template h1{\n font-size: 60px !important;\n  line-height: 70px !important;\n  font-family: \"Sora\", Sans-serif;\n  font-weight: 400;\n  margin: 0;  \n  margin-bottom: 20px;\n}\n\n\n\n\n.elementor-widget-container.form-template p{\n  font-family: \"Karla\", Sans-serif;\n  font-size: 22px;\n  font-weight: 400;\n  line-height: 28px;\n  color: var( --e-global-color-primary );\n  max-width: 700px;\n  margin: 0; \n  margin-bottom: 40px;\n} \n  \n\n\n.new-container #spinner{\nwidth: 50%;\nmax-width: 700px;\n}\n\n\n#form-templates .new-container #spinner div.contact-us__wrapper:nth-child(6){\ngap:30px; \n    \n}\n\n\n#form-templates .contact__info-heading {\n  margin-bottom: 67px;\n  font-size: 36px;\n  font-family: karla;\n  color:  #2E2E2E;\n\n  line-height: 49px;\n}\n\n#form-templates .contact__info-steps {\n  display: flex;\n  flex-direction: column;\n  max-width: 425x;\n  row-gap: 20px;\n  border-left: 1px solid #2e2e2e;\n}\n\n#form-templates .contact__info-block {\n  position: relative;\n  padding-left: 45px;\n}\n\n#form-templates .contact__info-block:last-child {\n  box-shadow: -1px 0 0 1px #f4f4f4;\n}\n\n#form-templates .contact__info-step {\n  position: absolute;\n  border: 1px solid #2e2e2e;\n  width: 40px;\n  height: 40px;\n  display: flex;\n  align-items: center;\n  justify-content: center;\n  border-radius: 20px;\n  left: -20px;\n  top: -8px;\n  background-color: #F4F4F4;\n  color:  #2E2E2E;\n\nfont-family: Karla;\nfont-weight: 700;\nfont-size: 18px;\nline-height: 28px;\n\n}\n\n.elementor-widget-global .contact__info-step {\n        color:  #2E2E2E;\n}\n\n#form-templates .contact__info-text {\n  margin: 0;\n  font-size: 16px;\n  line-height: 26px;\n  color: #2E2E2E;\n  font-family: karla;\n\n  width: 100%;\n}\n\n\n#form-templates .contact-us__send{\nflex-shrink: 0;\nmargin-top:0;\n}\n\n\n\n@media screen and (max-width: 1279px) {\n    .new-container #spinner{\n        width: 100%;\n        max-width:100%;\n        margin-bottom:40px;\n    }\n    \n\n    .new-container .contact__info {\n        max-width: 700px !important;\n    }\n    \n}\n\n\n@media screen and (max-width: 1279px) {\n#form-templates{\npadding: 60px 15px 70px 15px;     \n}\n}\n\n\n\n@media screen and (max-width: 767px) {\n\n#form-templates .new-container #spinner div.contact-us__wrapper:nth-child(6){\ngap:20px; \n \n}\n\n\n  #form-templates .contact__info {\n    padding: 20px 20px 40px 40px;\n    margin: 0 auto;\n  }\n\n\n#form-templates{\npadding: 40px 15px 50px 15px;  \n    \n}\n\n  \n   .new-container #spinner{\n       \n    margin-bottom:30px;   \n   }\n   \n   \n   .elementor-widget-container #form-templates .form-template h2,.elementor-widget-container.form-template h1{\n   font-size: 32px !important;\n    line-height: 42px !important;    \n   }\n   \n   \n   .elementor-widget-container #form-templates .form-template p{\n       \n    font-size: 16px;\n    line-height: 20px;  \n    margin-bottom: 30px !important;\n \n       \n   }\n   \n   #form-templates .contact__info-heading{\n   font-size: 24px !important;\n    line-height: 49px !important;    \n       \n   }\n   \n\n.mailToContact{\nmargin-top: 10px !important;        \n}\n\n   \n\n  #form-templates .contact__info-heading {\n    font-size: 24px;\n    margin-bottom: 37px;\n  }\n\n  #form-templates .contact__info-background {\n    top: 10px;\n    left: 10px;\n  }\n\n  #form-templates .contact__info-text {\n    font-size: 12px;\n    line-height: 20px;\n  }\n  \n  \n  #form-templates .contact__info-heading {\n   margin-bottom: 35px !important;\n\n}\n\n}\n\n@media (max-width: 767px) {\n    .mailToContact {\n        max-width: 100%;\n    }\n    .contact-us__wrapper .pp {\nfont-size: 12px !important;\nline-height: 140%;\nmargin-bottom: 0 !important;\n\n}\n}\n<\/style>\n\n<script>\nwindow.addEventListener('hashchange',function(e){if(window.history.pushState){window.history.pushState('','\/',window.location.pathname)}else{window.location.hash=''}})\n<\/script>\n\n\n<div id=\"form-templates\">\n<div class=\"elementor-widget-container form-template\">\n<a name=\"contact-form\"><\/a>\n<h2>Contact us<\/h2>\n<p><a id=\"calendlylink\" style=\"color: #c63031; border-bottom: 1px solid #c63031; padding: 0;\">Book a call<\/a> or fill out the form below and we\u2019ll get back to you once we\u2019ve processed your request.<\/p>\n<\/div>\n\n<div class=\"new-container\">\n\n\n<div class=\"contact-us__main\" id=\"spinner\" data-no-defer=\"1\">\n\n<div class=\"contact-us__wrapper\">\n\n<div class=\"name\">\n<label>Name<\/label>\n<span class=\"wpcf7-form-control-wrap\" data-name=\"field_name\"><input size=\"40\" maxlength=\"400\" class=\"wpcf7-form-control wpcf7-text wpcf7-validates-as-required contact-us__name\" id=\"contact-name\" aria-required=\"true\" aria-invalid=\"false\" placeholder=\"Name*\" value=\"\" type=\"text\" name=\"field_name\" \/><\/span>\n<\/div>\n\n<div class=\"company\">\n<label>Company<\/label>\n<span class=\"wpcf7-form-control-wrap\" data-name=\"company\"><input size=\"40\" maxlength=\"400\" class=\"wpcf7-form-control wpcf7-text wpcf7-validates-as-required contact-us__company\" id=\"contact-company\" aria-required=\"true\" aria-invalid=\"false\" placeholder=\"Company*\" value=\"\" type=\"text\" name=\"company\" \/><\/span>\n<\/div>\n\n<\/div>\n\n<div class=\"contact-us__wrapper\">\n\n<div class=\"email\">\n<label>Email<\/label>\n<span class=\"wpcf7-form-control-wrap\" data-name=\"email\"><input size=\"40\" maxlength=\"400\" class=\"wpcf7-form-control wpcf7-email wpcf7-validates-as-required wpcf7-text wpcf7-validates-as-email contact-us__email\" id=\"contact-email\" aria-required=\"true\" aria-invalid=\"false\" placeholder=\"Corporate email*\" value=\"\" type=\"email\" name=\"email\" \/><\/span>\n<\/div>\n\n<div class=\"phone\">\n<label>Phone<\/label>\n<span class=\"wpcf7-form-control-wrap\" data-name=\"tel\"><input size=\"40\" maxlength=\"400\" class=\"wpcf7-form-control wpcf7-tel wpcf7-validates-as-required wpcf7-text wpcf7-validates-as-tel contact-us__phone\" id=\"contact-phone\" aria-required=\"true\" aria-invalid=\"false\" placeholder=\"Phone*\" value=\"\" type=\"tel\" name=\"tel\" \/><\/span>\n<\/div>\n\n<\/div>\n<div class=\"contact-us__wrapper subj\">\n<span class=\"wpcf7-form-control-wrap\" data-name=\"your-recipient\"><select class=\"wpcf7-form-control wpcf7-select\" id=\"form-field-subj_js\" aria-invalid=\"false\" name=\"your-recipient\"><option value=\"\">Subject*<\/option><option value=\"IT staff augmentation\">IT staff augmentation<\/option><option value=\"Turnkey product development\">Turnkey product development<\/option><option value=\"Support and enhancement\">Support and enhancement<\/option><option value=\"Careers\">Careers<\/option><option value=\"Other\">Other<\/option><\/select><\/span>\n\n<span class=\"wpcf7-form-control-wrap\" data-name=\"form-field-budget_js\"><select  class=\"wpcf7-form-control wpcf7-select\" id=\"form-field-budget_js\" aria-invalid=\"false\" name=\"form-field-budget_js\" aria-label=\"Project budget\"><option value=\"\">Project budget<\/option><option value=\"Under $15K\">Under $15K<\/option><option value=\"$15K-$30K\">$15K-$30K<\/option><option value=\"$30K-$100K\">$30K-$100K<\/option><option value=\"$100K-$250K\">$100K-$250K<\/option><option value=\"$250K-$500K\">$250K-$500K<\/option><option value=\"More than $500K\">More than $500K<\/option><\/select><\/span>\n\n<\/div>\n\n\n<div class=\"message\">\n<label>Message<\/label>\n<span class=\"wpcf7-form-control-wrap\" data-name=\"message\"><textarea cols=\"40\" rows=\"1\" maxlength=\"2000\" class=\"wpcf7-form-control wpcf7-textarea wpcf7-validates-as-required contact-us__message\" id=\"contact-message\" aria-required=\"true\" aria-invalid=\"false\" placeholder=\"Describe your needs in detail*\" name=\"message\"><\/textarea><\/span>\n<\/div>\n\n<div class=\"atvoice-wrap\">\n\n<div class=\"voice-wrap\">\n<span id=\"voice-mut\" class=\"voicetext\">Send us a voice message<\/span>\n         <div class=\"qc_voice_audio_wrapper\">\n            <div class=\"qc_voice_audio_container\">\n                <div class=\"qc_voice_audio_upload_main\" id=\"qc_audio_main\">\n                    <a class=\"qc_audio_record_button\" id=\"qc_audio_record\" href=\"#\" aria-label=\"Record an audio message\">\n                        <span class=\"dashicons dashicons-microphone\"><\/span> \u00a0<\/a> \n                <\/div>\n\n                <div class=\"qc_voice_audio_recorder\" id=\"qc_audio_recorder\" style=\"display:none\">\n\n                <\/div>\n                <div class=\"qc_voice_audio_display\" id=\"qc_audio_display\"  style=\"display:none\">\n                    <audio id=\"qc-audio\" controls src=\"\"><\/audio>\n                    <span title=\"Remove and back to main upload screen.\" class=\"qc_audio_remove_button dashicons dashicons-trash\"><\/span>\n                <\/div>\n            <\/div>\n            <input type=\"hidden\" value=\"\" name=\"qcwpvoicemessage\" id=\"qc_audio_url\" \/>\n        <\/div>\n        \n<\/div>\n\n\n<div class=\"attach-wrap\">\n<span class=\"voicetext\">Attach documents<\/span>\n\n<div class='attachment'>\n\n<div class=\"downloaded\">\n<span><\/span>\n<div class=\"deleteFile\"><\/div>\n<\/div>\n\n<div class=\"attachmentButton\" onclick=\"(function cl(e){if(e.target.nodeName == 'DIV'){e.target.parentNode.children[1].children[0].click(); }})(arguments[0]);\">\n\n<div class=\"innerText\">Upload file<\/div>\n<span class=\"wpcf7-form-control-wrap\" data-name=\"att-files\"><input size=\"40\" class=\"wpcf7-form-control wpcf7-file\" accept=\".jpg,.png,.jpeg,.pdf\" aria-invalid=\"false\" type=\"file\" name=\"att-files\" \/><\/span>\n\n<div class=\"tip\" onclick=\"event.stopPropagation()\">\n<p>You can attach 1 file up to 2MB. Valid file formats: pdf, jpg, jpeg, png.<\/p>\n<\/div>\n\n<\/div>\n\n<\/div>\n\n<\/div>\n\n\n\n<\/div>\n\n<div class=\"contact-us__wrapper\"> \n<p class=\"pp\">By clicking Send, you consent to Innowise processing your personal data per our <a href=\"\/privacy-notice\/\">Privacy Policy<\/a> to provide you with relevant information. By submitting your phone number, you agree that we may contact you via voice calls, SMS, and messaging apps. 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