{"id":14138,"date":"2026-01-19T10:13:00","date_gmt":"2026-01-19T10:13:00","guid":{"rendered":"https:\/\/improveit.solutions\/ai-in-healthcare-2025-market-trends-and-must-have-features\/"},"modified":"2026-01-19T15:21:31","modified_gmt":"2026-01-19T15:21:31","slug":"ai-in-healthcare-2025-market-trends-and-must-have-features","status":"publish","type":"post","link":"https:\/\/improveit.solutions\/fr\/ai-in-healthcare-2025-market-trends-and-must-have-features\/","title":{"rendered":"AI in Healthcare 2026:\u00a0Market Trends and Must-Have Features"},"content":{"rendered":"\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"933\" height=\"600\" src=\"https:\/\/improveit.solutions\/wp-content\/uploads\/2025\/10\/AI-in-Healthcare-ImproveIT-Solutions.png\" alt=\"\" class=\"wp-image-13383\" srcset=\"https:\/\/improveit.solutions\/wp-content\/uploads\/2025\/10\/AI-in-Healthcare-ImproveIT-Solutions.png 933w, https:\/\/improveit.solutions\/wp-content\/uploads\/2025\/10\/AI-in-Healthcare-ImproveIT-Solutions-300x193.png 300w, https:\/\/improveit.solutions\/wp-content\/uploads\/2025\/10\/AI-in-Healthcare-ImproveIT-Solutions-768x494.png 768w\" sizes=\"(max-width: 933px) 100vw, 933px\" \/><\/figure>\n\n\n\n<p>In this article, we explore up-to-date market data and trends surrounding AI adoption in healthcare, and break down the most impactful AI-powered features transforming modern HealthTech applications.&nbsp;<\/p>\n\n\n\n<p>&nbsp;Keywords: Artificial intelligence, Healthcare, AI in Healthcare, Top HealthTech AI features, Generative AI in medicine, HIPAA-compliant AI tools,&nbsp; AI-powered healthcare apps, Predictive analytics in healthtech, Patient care automation, AI for clinical diagnostics,&nbsp; Medical app security.<\/p>\n\n\n\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_72 ez-toc-wrap-left counter-hierarchy ez-toc-counter ez-toc-custom ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/improveit.solutions\/fr\/ai-in-healthcare-2025-market-trends-and-must-have-features\/#Why_AI_in_Healthcare_Is_No_Longer_Optional\" title=\"Why AI in Healthcare Is No Longer Optional\">Why AI in Healthcare Is No Longer Optional<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/improveit.solutions\/fr\/ai-in-healthcare-2025-market-trends-and-must-have-features\/#AI_in_healthcare_Reality_Check_Low_Implementation_Rates\" title=\"AI in healthcare. Reality Check: Low Implementation Rates?\">AI in healthcare. Reality Check: Low Implementation Rates?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/improveit.solutions\/fr\/ai-in-healthcare-2025-market-trends-and-must-have-features\/#Top_10_AI_Features_in_HealthTech_What_Modern_Healthcare_Apps_Really_Need\" title=\"Top 10 AI Features in HealthTech: What Modern Healthcare Apps Really Need\">Top 10 AI Features in HealthTech: What Modern Healthcare Apps Really Need<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/improveit.solutions\/fr\/ai-in-healthcare-2025-market-trends-and-must-have-features\/#How_We_Deliver_Our_Case_Studies_Across_HealthTech_Beyond\" title=\"How We Deliver: Our Case Studies Across HealthTech &amp; Beyond\">How We Deliver: Our Case Studies Across HealthTech &amp; Beyond<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/improveit.solutions\/fr\/ai-in-healthcare-2025-market-trends-and-must-have-features\/#Final_Thoughts_Smart_Features_Real_Value\" title=\"Final Thoughts: Smart Features = Real Value\">Final Thoughts: Smart Features = Real Value<\/a><\/li><\/ul><\/nav><\/div>\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Why_AI_in_Healthcare_Is_No_Longer_Optional\"><\/span><mark style=\"background-color:rgba(0, 0, 0, 0);color:#f16b23\" class=\"has-inline-color\">Why AI in Healthcare Is No Longer Optional<\/mark><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Artificial Intelligence (AI)&nbsp; in healthcare has moved far beyond the conceptual stage &#8211; it\u2019s actively reshaping how care is diagnosed, delivered, and managed. Unlike many industries still experimenting with AI, healthcare has long been one of the earliest AI adopters &#8211; not out of trend, but out of need.&nbsp; Back in 2017, clinical tools like <a href=\"https:\/\/improveit.solutions\/fr\/case-studies\/eyetoai\/\" target=\"_blank\" rel=\"noreferrer noopener\">EyeToAI<\/a> &#8211; one of the first diagnostic support platforms we helped deliver &#8211; were already using machine learning to assist physicians, long before AI became a mainstream conversation. Today, the healthcare sector is showcasing AI\u2019s real-world value through measurable improvements in both clinical outcomes and operational efficiency.<\/p>\n\n\n\n<p>Whether it\u2019s enhancing diagnostic precision, optimizing clinical workflows, or elevating the overall patient experience, AI isn\u2019t here to replace medical professionals &#8211; it\u2019s here to empower them.<\/p>\n\n\n\n<p>For HealthTech companies, the question is no longer if you should implement AI &#8211; but how.&nbsp; Here\u2019s why it matters now more than ever:<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">1. Explosive Market Growth<\/h3>\n\n\n\n<p>The global AI in healthcare market is experiencing explosive growth* &#8211;&nbsp; projected to grow at over 38% annually and reach between $110 and $187 billion by 2030. This surge is fueled by rising demand for smarter diagnostics, more efficient care delivery, and data-driven decision-making in medical systems.<\/p>\n\n\n\n<p><em>* &#8211; from $21.66 billion in 2025 to $110.61 billion by 2030, driven by a 38.6% CAGR, according to <a href=\"https:\/\/www.grandviewresearch.com\/industry-analysis\/artificial-intelligence-ai-healthcare-market?utm_source=chatgpt.com\" target=\"_blank\" rel=\"noreferrer noopener\">Grand View Research<\/a>.&nbsp;<\/em><\/p>\n\n\n\n<p><em>&#8211; from USD 26.57 billion in 2024 and is projected to reach USD 187.69 billion by 2030, growing at a CAGR of 38.62% from 2025 to 2030, according to <a href=\"https:\/\/www.marketsandmarkets.com\/Market-Reports\/artificial-intelligence-healthcare-market-54679303.html\" target=\"_blank\" rel=\"noreferrer noopener\">Markets &amp; Markets<\/a>.<\/em><\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" src=\"https:\/\/improveit.solutions\/wp-content\/uploads\/2025\/10\/AI-in-Healthcare-Market-Grand-View-Research-1024x653.png\" alt=\"AI in Healthcare Market - Grand View Research\" class=\"wp-image-12750\"\/><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\">&nbsp;2. Widespread Adoption Among Physicians<\/h3>\n\n\n\n<p>In 2024, 66% of physicians reported using AI in healthcare &#8211; a 78% increase from 2023, according to an <a href=\"https:\/\/www.ama-assn.org\/practice-management\/digital-health\/2-3-physicians-are-using-health-ai-78-2023?utm_source=chatgpt.com\" target=\"_blank\" rel=\"noreferrer noopener\">AMA survey<\/a>. Common uses include documentation, care plans, translation, and assistive diagnosis. Despite some lingering doubts, enthusiasm for AI continues to grow.<br><\/p>\n\n\n\n<h3 class=\"wp-block-heading\">3. Healthcare Executive Confidence in Generative AI<\/h3>\n\n\n\n<p>According to <a href=\"https:\/\/www.bain.com\/insights\/the-healthcare-ai-adoption-index\/?utm_source=chatgpt.com\" target=\"_blank\" rel=\"noreferrer noopener\">Bain &amp; Company<\/a>, 95% of healthcare executives believe that Generative AI will fundamentally transform the industry. Remarkably, 54% are already reporting a meaningful return on investment (ROI) within the first year of implementation &#8211; proving that GenAI is moving fast from hype to real healthcare value.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"AI_in_healthcare_Reality_Check_Low_Implementation_Rates\"><\/span><br><mark style=\"background-color:rgba(0, 0, 0, 0);color:#f16b23\" class=\"has-inline-color\">AI in healthcare. Reality Check: Low Implementation Rates?<\/mark><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Despite the undeniable need and game-changing potential of AI in healthcare, only 19% of institutions have successfully implemented it at scale (<a href=\"https:\/\/pmc.ncbi.nlm.nih.gov\/articles\/PMC11739231\" target=\"_blank\" rel=\"noreferrer noopener\">NIH<\/a>, 2024).&nbsp;<\/p>\n\n\n\n<p>Does that mean AI isn\u2019t needed in HealthTech? Absolutely not. This gap doesn\u2019t signal a lack of value &#8211; it highlights the real challenge: AI implementation must be <strong>strategic, effective, and responsible<\/strong><strong>, not driven by hype.<\/strong><\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Our Perspective<\/h3>\n\n\n\n<p>The challenge is not to adopt AI just because it\u2019s trending &#8211; but to implement it thoughtfully..&nbsp; At ImproveIT Solutions, we believe the future of healthcare doesn\u2019t lie in AI adoption alone, but in smart, <strong>purposeful <\/strong>AI integration &#8211; where technology elevates human decision-making, not replaces it.<\/p>\n\n\n\n<p>That\u2019s why successful HealthTech products aren\u2019t just AI-powered &#8211; they\u2019re <strong>feature-smart<\/strong>. The key is identifying the right AI features that actually solve real clinical, operational, and patient challenges.<\/p>\n\n\n\n<p>So, what are the most impactful, in-demand AI features that modern healthcare applications truly need today?<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Top_10_AI_Features_in_HealthTech_What_Modern_Healthcare_Apps_Really_Need\"><\/span><mark style=\"background-color:rgba(0, 0, 0, 0);color:#f16b23\" class=\"has-inline-color\">Top 10 AI Features in HealthTech: What Modern Healthcare Apps Really Need<\/mark><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>To help HealthTech leaders make smarter AI decisions, ImproveIT Solutions prepared a practical overview of the 10 most impactful AI features driving innovation in healthcare and wellness apps in 2025<strong>.<\/strong> Each feature is broken down by its core purpose, direct benefits for patients, clinicians, and administrators, and how to implement it the right way.<\/p>\n\n\n\n<p>It\u2019ll help you to discover how to:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Use <strong>predictive analytics<\/strong> to reduce readmissions and anticipate complications<\/li>\n\n\n\n<li>Apply <strong>anomaly detection<\/strong> to catch early warning signs in real-time data<br><\/li>\n\n\n\n<li>Turn clinical notes into structured insights with <strong>NLP tools<\/strong><strong><br><\/strong><\/li>\n\n\n\n<li>Increase treatment adherence with <strong>personalized AI recommendations<\/strong><strong><br><\/strong><\/li>\n\n\n\n<li>Boost chronic care with <strong>remote patient monitoring and telehealth tools<\/strong><strong><br><\/strong><\/li>\n\n\n\n<li>Add <strong>AI chatbots and triage assistants<\/strong> for 24\/7 patient support<br><\/li>\n\n\n\n<li>Speed up diagnoses with <strong>AI-powered medical image analysis<\/strong><strong><br><\/strong><\/li>\n\n\n\n<li>Save admin time and costs with <strong>automation for healthcare back office tasks<\/strong><strong><br><\/strong><\/li>\n\n\n\n<li>Build on <strong>HIPAA-ready infrastructure<\/strong> for secure and compliant AI solutions<br><\/li>\n<\/ul>\n\n\n\n<p>Each feature comes with:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Tech stack examples (e.g., GPT-4, TensorFlow, AWS HealthLake)<\/li>\n\n\n\n<li>Expert tips from our AI implementation team<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">10 <strong>Top AI Features in HealthTech (2025 Edition)<\/strong><\/h3>\n\n\n\n<p><\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><td><strong><mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-primary-color\">Feature<\/mark><\/strong><\/td><td><strong><mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-primary-color\">What It Does<\/mark><\/strong><\/td><td><strong><mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-primary-color\">Why It Matters in HealthTech<\/mark><\/strong><\/td><td><strong><mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-primary-color\">Common Tech Stack<\/mark><\/strong><\/td><td><strong><mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-primary-color\">Pro Tip<\/mark><\/strong><\/td><\/tr><tr><td><strong>1. Predictive Analytics<\/strong><\/td><td>Forecasts health events, risks, and outcomes<\/td><td>Prevents readmissions, personalizes care, saves costs<\/td><td>Python, Scikit-learn, AWS HealthLakeTensorFlow<\/td><td>Use patient history &amp; wearable data for early warnings<\/td><\/tr><tr><td><strong>2. Anomaly Detection<\/strong><\/td><td>Identifies irregular patterns in health data<\/td><td>Detects early deterioration, device malfunctions<\/td><td>PyOD, Azure ML, GCP Vertex AI<\/td><td>Apply to real-time vitals and EHRs for proactive alerts<\/td><\/tr><tr><td><strong>3. NLP &amp; Clinical Data Parsing<\/strong><\/td><td>Turns unstructured notes into structured insights<\/td><td>Saves time, improves documentation accuracy<\/td><td>spaCy, GPT-4, Langchain, Haystack<\/td><td>Fine-tune models on your clinic\u2019s note style<\/td><\/tr><tr><td><strong>4. Personalized AI Recommendations<\/strong><\/td><td>Recommends care plans, reminders, actions<\/td><td>Boosts treatment adherence, patient engagement<\/td><td>TensorFlow, PyTorch, AWS Personalize<\/td><td>Combine EHR + user feedback for highest impact<\/td><\/tr><tr><td><strong>5. Remote Patient Monitoring (RPM)<\/strong><\/td><td>Tracks vitals, sends alerts to providers<\/td><td>Enables better chronic care and telehealth<\/td><td>BLE, IoMT + Firebase, Google Cloud, Azure IoT<\/td><td>Integrate with wearables for continuous feedback<\/td><\/tr><tr><td><strong>6. Virtual Assistants &amp; Chatbots<\/strong><\/td><td>24\/7 triage, appointment scheduling, FAQ<\/td><td>Reduces wait times, improves access to care<\/td><td>GPT-4, Rasa, Dialogflow, Microsoft Bot Framework<\/td><td>Layer with symptom checker for triage automation<\/td><\/tr><tr><td><strong>7. Medical Image Analysis<\/strong><\/td><td>Identifies patterns in X-rays, MRIs, CT scans<\/td><td>Speeds diagnosis, reduces human error<\/td><td>OpenCV, Keras, Azure Computer Vision, GCP AutoML<\/td><td>Always validate AI outputs with human review<\/td><\/tr><tr><td><strong>8. Admin Workflow Automation<\/strong><\/td><td>AI handles claims, billing, EHR data entry<\/td><td>Saves staff time, reduces paperwork errors<\/td><td>UiPath, Power Automate, Zapier, AWS Textract<\/td><td>Start with repetitive low-risk tasks to prove value<\/td><\/tr><tr><td><strong>9. Compliance &amp; Privacy Tools<\/strong><\/td><td>Ensures HIPAA\/GDPR adherence, audit logs<\/td><td>Builds trust, protects sensitive health data<\/td><td>AWS Shield, Azure Security Center, GCP DLP<\/td><td>Use audit logging and end-to-end encryption by default<\/td><\/tr><tr><td><strong>10. Real-Time Data Dashboards<\/strong><\/td><td>Aggregates and visualizes patient or system data<\/td><td>Improves decision-making, engagement<\/td><td>Power BI, Looker, Streamlit, Dash<\/td><td>Focus on clean UI + role-based views (clinicians vs admin)<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p>From predictive analytics and anomaly detection to admin automation and HIPAA-compliant infrastructure, these features support better care, faster diagnostics, and smoother operations &#8211; with proven success in top apps worldwide.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Want the Right AI Features in Your Health App?<\/h3>\n\n\n\n<p>&nbsp;We help you choose, implement, and scale AI features based on your product\u2019s needs and budget &#8211; \ud83d\udce9 let\u2019s talk: <strong><mark style=\"background-color:rgba(0, 0, 0, 0);color:#f16b23\" class=\"has-inline-color\"><a href=\"mailto:info@improveit.solutions\" target=\"_blank\" rel=\"noreferrer noopener\">info@improveit.solutions<\/a><\/mark><\/strong><\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"How_We_Deliver_Our_Case_Studies_Across_HealthTech_Beyond\"><\/span><mark style=\"background-color:rgba(0, 0, 0, 0);color:#f16b23\" class=\"has-inline-color\">How We Deliver: Our Case Studies Across HealthTech &amp; Beyond<\/mark><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>One of our recent HealthTech projects for a leading <a href=\"https:\/\/improveit.solutions\/case-studies\/healthtech-software-development-for-a-amedical-research-association\/\" target=\"_blank\" rel=\"noreferrer noopener\">French medical research association<\/a> focused on a critical challenge: transforming raw data from blood tests into structured insights that could support earlier risk detection and smarter care pathways.<\/p>\n\n\n\n<p>The client came to us with a clear mission:<\/p>\n\n\n\n<p>\u2192 Connect doctors and patients through one centralized platform<\/p>\n\n\n\n<p>\u2192 Run multilingual surveys and manage large volumes of test results<\/p>\n\n\n\n<p>\u2192 Identify potential risk groups for proactive outreach<\/p>\n\n\n\n<p>\u2192 Ensure secure data handling in line with medical compliance standards<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">What We Delivered:<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>A <strong>fully multilingual platform<\/strong> supporting secure, structured survey data and clinical entries<\/li>\n\n\n\n<li>A <strong>smart analytics engine<\/strong> enabling researchers to analyze and interpret patient data at scale<\/li>\n\n\n\n<li><strong>End-to-end development<\/strong>, from architecture to deployment<\/li>\n\n\n\n<li><strong>Transparent estimates<\/strong> and predictable delivery across all milestones<\/li>\n\n\n\n<li><strong>6 engineers onboarded in just 2 weeks<\/strong><\/li>\n\n\n\n<li><strong>Zero vendor lock-in<\/strong> and minimal third-party dependencies for long-term flexibility<br><\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Not Just for Healthcare<\/h3>\n\n\n\n<p>A voice recognition system originally developed to streamline patient communication in one of our HealthTech projects we worked with recently inspired a new client &#8211; this time from the sales domain.<\/p>\n\n\n\n<p>By <strong>repurposing the same approach<\/strong>, we helped them build a <a href=\"https:\/\/improveit.solutions\/fr\/case-studies\/innovative-ai-solution\/\" target=\"_blank\" rel=\"noreferrer noopener\">custom voice-powered solution<\/a> that:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Automates internal data capture;<br><\/li>\n\n\n\n<li>Accelerates sales workflows;<br><\/li>\n\n\n\n<li>Significantly reduces manual effort;<br><\/li>\n\n\n\n<li>Boosts team productivity.<br><\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Back to Our Perspective<\/h3>\n\n\n\n<p>The real challenge isn\u2019t adopting AI because it\u2019s trending &#8211; it\u2019s about implementing it <em>intelligently<\/em>. Core AI features should be designed to simplify, enhance, and empower human work &#8211; with thoughtful integration and a clear understanding of where they truly bring value.<\/p>\n\n\n\n<p>What\u2019s more, many AI capabilities are cross-industry by nature. With the right strategy, they can be easily adapted to different use cases and domains &#8211; whether it\u2019s healthcare, education, logistics, or sales. It\u2019s not about the technology itself, but about how and where you apply it to drive real impact.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Final_Thoughts_Smart_Features_Real_Value\"><\/span><mark style=\"background-color:rgba(0, 0, 0, 0);color:#f16b23\" class=\"has-inline-color\">Final Thoughts: Smart Features = Real Value<\/mark><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>At ImproveIT, we partner with HealthTech innovators to deliver more than beautiful UIs &#8211; we build clinically relevant, data-smart, and AI-ready healthcare solutions.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>&nbsp;We prioritize features based on real user needs, medical workflows, and data availability<br><\/li>\n\n\n\n<li>&nbsp;We design scalable AI components that are GDPR and HIPAA-compliant<br><\/li>\n\n\n\n<li>\u00a0We provide full-cycle development teams or quickly extend your in-house team with vetted senior European engineers. <a href=\"https:\/\/improveit.solutions\/fr\/services-de-developpement-logiciel\/\">Learn more about services we provide.<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>In this article, we explore up-to-date market data and trends surrounding AI adoption in healthcare, and break down the most impactful AI-powered features transforming modern HealthTech applications.&nbsp; &nbsp;Keywords: Artificial intelligence, Healthcare, AI in Healthcare, Top HealthTech AI features, Generative AI in medicine, HIPAA-compliant AI tools,&nbsp; AI-powered healthcare apps, Predictive analytics in healthtech, Patient care automation, [&hellip;]<\/p>\n","protected":false},"author":11,"featured_media":13384,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"templates\/improveit-single-blog.php","format":"standard","meta":{"_acf_changed":false,"_editorskit_title_hidden":false,"_editorskit_reading_time":0,"_editorskit_is_block_options_detached":false,"_editorskit_block_options_position":"{}","footnotes":""},"categories":[36],"tags":[],"class_list":["post-14138","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-best-practices-fr"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.4 - 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