{"id":13732,"date":"2025-06-16T18:22:48","date_gmt":"2025-06-16T22:22:48","guid":{"rendered":"https:\/\/engineering.jhu.edu\/ExecEd\/?post_type=course&#038;p=13732"},"modified":"2026-07-14T13:03:57","modified_gmt":"2026-07-14T17:03:57","slug":"ai-for-improved-patient-outcomes","status":"publish","type":"course","link":"https:\/\/engineering.jhu.edu\/ExecEd\/course\/ai-for-improved-patient-outcomes\/","title":{"rendered":"AI for Improved Patient Outcomes"},"content":{"rendered":"\n<div class=\"gb-element-2172257a\"><div class=\"gb-container gb-container-01a1e0ed ctn-course-header\">\n\n<div class=\"gb-element-73a7478f\">\n<div class=\"gb-element-b5112b76\"><h1 class=\"gb-headline gb-headline-f3771fef gb-headline-text\">AI for Improved Patient Outcomes<\/h1>\n\n\n<div class=\"gb-element-548bba01\">\n<p class=\"gb-text margin-bottom-zero gb-text-25506e36\">1-Day Online Live Course<\/p>\n<\/div>\n\n\n<p class=\"gb-headline gb-headline-2afe6602 gb-headline-text\">Build and evaluate AI and predictive modeling tools in medicine.<\/p>\n\n\n<ul class=\"gb-element-b8d2e683 no-margin-list\">\n<li class=\"gb-text-37ed3ac8\"><span class=\"gb-shape\"><svg aria-hidden=\"true\" role=\"img\" height=\"1em\" width=\"1em\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path fill=\"currentColor\" d=\"M256 8C119 8 8 119 8 256s111 248 248 248 248-111 248-248S393 8 256 8z\"><\/path><\/svg><\/span><span class=\"gb-text\">Johns Hopkins University Certificate of Completion<\/span><\/li>\n\n\n\n<li class=\"gb-text-dd5595fd\"><span class=\"gb-shape\"><svg aria-hidden=\"true\" role=\"img\" height=\"1em\" width=\"1em\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path fill=\"currentColor\" d=\"M256 8C119 8 8 119 8 256s111 248 248 248 248-111 248-248S393 8 256 8z\"><\/path><\/svg><\/span><span class=\"gb-text\">Maximum of 6.25 AMA PRA Category 1 Credits<\/span><\/li>\n\n\n\n<li class=\"gb-text-ee3e5119\"><span class=\"gb-shape\"><svg aria-hidden=\"true\" role=\"img\" height=\"1em\" width=\"1em\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path fill=\"currentColor\" d=\"M256 8C119 8 8 119 8 256s111 248 248 248 248-111 248-248S393 8 256 8z\"><\/path><\/svg><\/span><span class=\"gb-text\">Course designed and presented by Johns Hopkins faculty member Daniel Byrne<\/span><\/li>\n\n\n\n<li class=\"gb-text-56556d9c\"><span class=\"gb-shape\"><svg aria-hidden=\"true\" role=\"img\" height=\"1em\" width=\"1em\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path fill=\"currentColor\" d=\"M256 8C119 8 8 119 8 256s111 248 248 248 248-111 248-248S393 8 256 8z\"><\/path><\/svg><\/span><span class=\"gb-text\">Real-world relevant content and use cases<\/span><\/li>\n<\/ul>\n\n\n\n<div class=\"gb-element-750a265d\">\n<p class=\"gb-text margin-bottom-zero gb-text-62760b15\">JHU Staff and Faculty May Qualify for <a href=\"#remission\">Tuition Remission<\/a><\/p>\n<\/div>\n\n\n\n<div class=\"gb-element-54af210a\">\n<h2 class=\"gb-text gb-text-ae67def5\"><strong>Who Should Attend?<\/strong><\/h2>\n\n\n\n<ul class=\"gb-element-d76c17dd no-margin-list\">\n<li class=\"gb-text-5680bb9a\"><span class=\"gb-shape\"><svg aria-hidden=\"true\" role=\"img\" height=\"1em\" width=\"1em\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path fill=\"currentColor\" d=\"M173.898 439.404l-166.4-166.4c-9.997-9.997-9.997-26.206 0-36.204l36.203-36.204c9.997-9.998 26.207-9.998 36.204 0L192 312.69 432.095 72.596c9.997-9.997 26.207-9.997 36.204 0l36.203 36.204c9.997 9.997 9.997 26.206 0 36.204l-294.4 294.401c-9.998 9.997-26.207 9.997-36.204-.001z\"><\/path><\/svg><\/span><span class=\"gb-text\">Physician-scientists eager to build and test AI tools<\/span><\/li>\n\n\n\n<li class=\"gb-text-c1081a7e\"><span class=\"gb-shape\"><svg aria-hidden=\"true\" role=\"img\" height=\"1em\" width=\"1em\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path fill=\"currentColor\" d=\"M173.898 439.404l-166.4-166.4c-9.997-9.997-9.997-26.206 0-36.204l36.203-36.204c9.997-9.998 26.207-9.998 36.204 0L192 312.69 432.095 72.596c9.997-9.997 26.207-9.997 36.204 0l36.203 36.204c9.997 9.997 9.997 26.206 0 36.204l-294.4 294.401c-9.998 9.997-26.207 9.997-36.204-.001z\"><\/path><\/svg><\/span><span class=\"gb-text\">Biomedical informatics professionals<\/span><\/li>\n\n\n\n<li class=\"gb-text-ad9daada\"><span class=\"gb-shape\"><svg aria-hidden=\"true\" role=\"img\" height=\"1em\" width=\"1em\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path fill=\"currentColor\" d=\"M173.898 439.404l-166.4-166.4c-9.997-9.997-9.997-26.206 0-36.204l36.203-36.204c9.997-9.998 26.207-9.998 36.204 0L192 312.69 432.095 72.596c9.997-9.997 26.207-9.997 36.204 0l36.203 36.204c9.997 9.997 9.997 26.206 0 36.204l-294.4 294.401c-9.998 9.997-26.207 9.997-36.204-.001z\"><\/path><\/svg><\/span><span class=\"gb-text\">Biostatisticians interested in AI<\/span><\/li>\n\n\n\n<li class=\"gb-text-0d2abfa5\"><span class=\"gb-shape\"><svg aria-hidden=\"true\" role=\"img\" height=\"1em\" width=\"1em\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path fill=\"currentColor\" d=\"M173.898 439.404l-166.4-166.4c-9.997-9.997-9.997-26.206 0-36.204l36.203-36.204c9.997-9.998 26.207-9.998 36.204 0L192 312.69 432.095 72.596c9.997-9.997 26.207-9.997 36.204 0l36.203 36.204c9.997 9.997 9.997 26.206 0 36.204l-294.4 294.401c-9.998 9.997-26.207 9.997-36.204-.001z\"><\/path><\/svg><\/span><span class=\"gb-text\">Nursing leaders and researchers.<\/span><\/li>\n\n\n\n<li class=\"gb-text-0b180f0d\"><span class=\"gb-shape\"><svg aria-hidden=\"true\" role=\"img\" height=\"1em\" width=\"1em\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path fill=\"currentColor\" d=\"M173.898 439.404l-166.4-166.4c-9.997-9.997-9.997-26.206 0-36.204l36.203-36.204c9.997-9.998 26.207-9.998 36.204 0L192 312.69 432.095 72.596c9.997-9.997 26.207-9.997 36.204 0l36.203 36.204c9.997 9.997 9.997 26.206 0 36.204l-294.4 294.401c-9.998 9.997-26.207 9.997-36.204-.001z\"><\/path><\/svg><\/span><span class=\"gb-text\">Chief Medical Informatics Officers<\/span><\/li>\n\n\n\n<li class=\"gb-text-b920a87d\"><span class=\"gb-shape\"><svg aria-hidden=\"true\" role=\"img\" height=\"1em\" width=\"1em\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path fill=\"currentColor\" d=\"M173.898 439.404l-166.4-166.4c-9.997-9.997-9.997-26.206 0-36.204l36.203-36.204c9.997-9.998 26.207-9.998 36.204 0L192 312.69 432.095 72.596c9.997-9.997 26.207-9.997 36.204 0l36.203 36.204c9.997 9.997 9.997 26.206 0 36.204l-294.4 294.401c-9.998 9.997-26.207 9.997-36.204-.001z\"><\/path><\/svg><\/span><span class=\"gb-text\">Healthcare executives and administrators evaluating AI vendors<\/span><\/li>\n\n\n\n<li class=\"gb-text-9ad1e98e\"><span class=\"gb-shape\"><svg aria-hidden=\"true\" role=\"img\" height=\"1em\" width=\"1em\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path fill=\"currentColor\" d=\"M173.898 439.404l-166.4-166.4c-9.997-9.997-9.997-26.206 0-36.204l36.203-36.204c9.997-9.998 26.207-9.998 36.204 0L192 312.69 432.095 72.596c9.997-9.997 26.207-9.997 36.204 0l36.203 36.204c9.997 9.997 9.997 26.206 0 36.204l-294.4 294.401c-9.998 9.997-26.207 9.997-36.204-.001z\"><\/path><\/svg><\/span><span class=\"gb-text\">Entrepreneurs in the AI healthcare space<\/span><\/li>\n<\/ul>\n<\/div>\n<\/div>\n\n\n\n<div class=\"gb-element-902dd913\">\n<div class=\"gb-element-7d409886\"><figure class=\"gb-block-image gb-block-image-0fd14a54\"><img loading=\"lazy\" decoding=\"async\" width=\"300\" height=\"200\" src=\"https:\/\/engineering.jhu.edu\/ExecEd\/wp-content\/uploads\/2025\/06\/AdobeStock_1175109072-300x200.jpg\" class=\"gb-image-0fd14a54\" alt=\"\" srcset=\"https:\/\/engineering.jhu.edu\/ExecEd\/wp-content\/uploads\/2025\/06\/AdobeStock_1175109072-300x200.jpg 300w, https:\/\/engineering.jhu.edu\/ExecEd\/wp-content\/uploads\/2025\/06\/AdobeStock_1175109072-768x513.jpg 768w, https:\/\/engineering.jhu.edu\/ExecEd\/wp-content\/uploads\/2025\/06\/AdobeStock_1175109072.jpg 800w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/figure>\n\n<div class=\"gb-container gb-container-a7fce55a\">\n\n<div class=\"gb-element-8c4718a6\">\n<div class=\"gb-element-2696c730\">\n<p class=\"gb-text-69422597\"><span class=\"gb-shape\"><svg aria-hidden=\"true\" role=\"img\" height=\"1em\" width=\"1em\" viewBox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path fill=\"currentColor\" d=\"M148 288h-40c-6.6 0-12-5.4-12-12v-40c0-6.6 5.4-12 12-12h40c6.6 0 12 5.4 12 12v40c0 6.6-5.4 12-12 12zm108-12v-40c0-6.6-5.4-12-12-12h-40c-6.6 0-12 5.4-12 12v40c0 6.6 5.4 12 12 12h40c6.6 0 12-5.4 12-12zm96 0v-40c0-6.6-5.4-12-12-12h-40c-6.6 0-12 5.4-12 12v40c0 6.6 5.4 12 12 12h40c6.6 0 12-5.4 12-12zm-96 96v-40c0-6.6-5.4-12-12-12h-40c-6.6 0-12 5.4-12 12v40c0 6.6 5.4 12 12 12h40c6.6 0 12-5.4 12-12zm-96 0v-40c0-6.6-5.4-12-12-12h-40c-6.6 0-12 5.4-12 12v40c0 6.6 5.4 12 12 12h40c6.6 0 12-5.4 12-12zm192 0v-40c0-6.6-5.4-12-12-12h-40c-6.6 0-12 5.4-12 12v40c0 6.6 5.4 12 12 12h40c6.6 0 12-5.4 12-12zm96-260v352c0 26.5-21.5 48-48 48H48c-26.5 0-48-21.5-48-48V112c0-26.5 21.5-48 48-48h48V12c0-6.6 5.4-12 12-12h40c6.6 0 12 5.4 12 12v52h128V12c0-6.6 5.4-12 12-12h40c6.6 0 12 5.4 12 12v52h48c26.5 0 48 21.5 48 48zm-48 346V160H48v298c0 3.3 2.7 6 6 6h340c3.3 0 6-2.7 6-6z\"><\/path><\/svg><\/span><span class=\"gb-text\"><strong>Upcoming Dates and Offerings<\/strong><\/span><\/p>\n\n\n\n<div class=\"gb-element-ef73f857\">\n<p class=\"gb-text-8ed3f9ce\"><span class=\"gb-shape\"><svg height=\"512\" viewBox=\"0 0 512 512\" width=\"512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><title><\/title><path d=\"M346.65,304.3a136,136,0,0,0-180.71,0,21,21,0,1,0,27.91,31.38,94,94,0,0,1,124.89,0,21,21,0,0,0,27.91-31.4Z\"><\/path><path d=\"M256.28,183.7a221.47,221.47,0,0,0-151.8,59.92,21,21,0,1,0,28.68,30.67,180.28,180.28,0,0,1,246.24,0,21,21,0,1,0,28.68-30.67A221.47,221.47,0,0,0,256.28,183.7Z\"><\/path><path d=\"M462,175.86a309,309,0,0,0-411.44,0,21,21,0,1,0,28,31.29,267,267,0,0,1,355.43,0,21,21,0,0,0,28-31.31Z\"><\/path><circle cx=\"256.28\" cy=\"393.41\" r=\"32\"><\/circle><\/svg><\/span><span class=\"gb-text\">Next Cohort Will Be Announced Soon<\/span><\/p>\n\n\n\n<a class=\"gb-text gb-text-dfc961ee\" href=\"https:\/\/hopkinscme.cloud-cme.com\/course\/courseoverview?P=0&#038;EID=59205\">REGISTER NOW<\/a>\n\n\n\n<p class=\"wp-block-paragraph\"><strong> You will be redirected to Hopkins Medicine<\/strong><\/p>\n<\/div>\n<\/div>\n<\/div>\n\n<\/div><\/div>\n<\/div>\n<\/div>\n\n<\/div>\n\n<div class=\"gb-container gb-container-900af833 ctn-course-body\">\n\n<div class=\"grid-course-body gb-element-8a21a8dd\"><div class=\"gb-container gb-container-a89515ce header-landmark\">\n\n<div class=\"gb-element-1d662034\">\n<p class=\"wp-block-paragraph\">Artificial intelligence has the potential to revolutionize patient care by improving outcomes, reducing clinician workload, and delivering tangible, evidenced-based improvements.<br><br>It also risks financial losses, wasted resources, and even harm to patient safety through misapplication or poor validation.<br><br>Providers MUST critically evaluate AI tools and <strong>cut through marketing hype<\/strong> to ensure AI investments genuinely advance healthcare effectiveness.<br><br>In this full-day course, offered online and in-person, <a href=\"#meet\">Professor Daniel Byrne<\/a> gives you <strong>actionable strategies for development and validation of AI tools<\/strong>, emphasizing statistical rigor and addressing common challenges such as regression to the mean, label leakage, and misinterpreted accuracy metrics.<br><br>Through detailed case studies\u2014including successful applications like predicting blood clots in pediatric patients\u2014you&#8217;ll gain immediate, practical insights into integrating AI into clinical workflows. Grasp the principles required for conducting <strong>effective, pragmatic randomized controlled trials and identify clinically valuable AI applications<\/strong> aimed at enhancing patient safety and reducing clinician burnout.<br><br>Providers,&nbsp;executives, administrators, and researchers will leave with a clear path to implementing effective, evidence-based AI strategies that elevate patient care and optimize clinical efficiency.<\/p>\n<\/div>\n\n\n\n<div class=\"gb-element-266f8254\">\n<h2 class=\"gb-text gb-text-ecc25098\">Acquire Essential Knowledge in AI in Healthcare<\/h2>\n\n\n\n<p class=\"gb-text gb-text-8a6970c3\">Designed by JHU Faculty, the curriculum covers key areas of the evolving AI domain.<\/p>\n\n\n\n<ul class=\"gb-element-ca8feb56 no-margin-list\">\n<li class=\"gb-text-0aa514c2\"><span class=\"gb-shape\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 448 512\"><!--!Font Awesome Free 6.7.2 by @fontawesome - https:\/\/fontawesome.com License - https:\/\/fontawesome.com\/license\/free Copyright 2025 Fonticons, Inc.--><path d=\"M224 256A128 128 0 1 0 224 0a128 128 0 1 0 0 256zm-96 55.2C54 332.9 0 401.3 0 482.3C0 498.7 13.3 512 29.7 512l388.6 0c16.4 0 29.7-13.3 29.7-29.7c0-81-54-149.4-128-171.1l0 50.8c27.6 7.1 48 32.2 48 62l0 40c0 8.8-7.2 16-16 16l-16 0c-8.8 0-16-7.2-16-16s7.2-16 16-16l0-24c0-17.7-14.3-32-32-32s-32 14.3-32 32l0 24c8.8 0 16 7.2 16 16s-7.2 16-16 16l-16 0c-8.8 0-16-7.2-16-16l0-40c0-29.8 20.4-54.9 48-62l0-57.1c-6-.6-12.1-.9-18.3-.9l-91.4 0c-6.2 0-12.3 .3-18.3 .9l0 65.4c23.1 6.9 40 28.3 40 53.7c0 30.9-25.1 56-56 56s-56-25.1-56-56c0-25.4 16.9-46.8 40-53.7l0-59.1zM144 448a24 24 0 1 0 0-48 24 24 0 1 0 0 48z\"><\/path><\/svg><\/span><span class=\"gb-text\">Develop practical skills to apply AI effectively in clinical and administrative settings, enhancing both patient outcomes and professional advancement.<\/span><\/li>\n\n\n\n<li class=\"gb-text-4c8eff46\"><span class=\"gb-shape\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 640 512\"><!--!Font Awesome Free 6.7.2 by @fontawesome - https:\/\/fontawesome.com License - https:\/\/fontawesome.com\/license\/free Copyright 2025 Fonticons, Inc.--><path d=\"M320 0c17.7 0 32 14.3 32 32l0 64 120 0c39.8 0 72 32.2 72 72l0 272c0 39.8-32.2 72-72 72l-304 0c-39.8 0-72-32.2-72-72l0-272c0-39.8 32.2-72 72-72l120 0 0-64c0-17.7 14.3-32 32-32zM208 384c-8.8 0-16 7.2-16 16s7.2 16 16 16l32 0c8.8 0 16-7.2 16-16s-7.2-16-16-16l-32 0zm96 0c-8.8 0-16 7.2-16 16s7.2 16 16 16l32 0c8.8 0 16-7.2 16-16s-7.2-16-16-16l-32 0zm96 0c-8.8 0-16 7.2-16 16s7.2 16 16 16l32 0c8.8 0 16-7.2 16-16s-7.2-16-16-16l-32 0zM264 256a40 40 0 1 0 -80 0 40 40 0 1 0 80 0zm152 40a40 40 0 1 0 0-80 40 40 0 1 0 0 80zM48 224l16 0 0 192-16 0c-26.5 0-48-21.5-48-48l0-96c0-26.5 21.5-48 48-48zm544 0c26.5 0 48 21.5 48 48l0 96c0 26.5-21.5 48-48 48l-16 0 0-192 16 0z\"><\/path><\/svg><\/span><span class=\"gb-text\">Critically evaluate emerging AI technologies in healthcare by distinguishing evidence-based innovations from overstated claims.<\/span><\/li>\n\n\n\n<li class=\"gb-text-590ad5c3\"><span class=\"gb-shape\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 512 512\"><!--!Font Awesome Free 6.7.2 by @fontawesome - https:\/\/fontawesome.com License - https:\/\/fontawesome.com\/license\/free Copyright 2025 Fonticons, Inc.--><path d=\"M0 64C0 46.3 14.3 32 32 32l448 0c17.7 0 32 14.3 32 32s-14.3 32-32 32l0 320c17.7 0 32 14.3 32 32s-14.3 32-32 32L32 480c-17.7 0-32-14.3-32-32s14.3-32 32-32L32 96C14.3 96 0 81.7 0 64zM256 96c-8.8 0-16 7.2-16 16l0 32-80 0c-8.8 0-16 7.2-16 16s7.2 16 16 16l80 0 0 48-112 0c-8.8 0-16 7.2-16 16s7.2 16 16 16l112 0 0 70.6L189.1 307c-5.2-2-10.6-3-16.2-3l-2.1 0c-23.6 0-42.8 19.2-42.8 42.8c0 9.6 3.2 18.9 9.1 26.4l18.2 23.2c9.7 12.4 24.6 19.6 40.3 19.6l120.8 0c15.7 0 30.6-7.2 40.3-19.6l18.2-23.2c5.9-7.5 9.1-16.8 9.1-26.4c0-23.6-19.2-42.8-42.8-42.8l-2.2 0c-5.5 0-11 1-16.2 3L272 326.6l0-70.6 112 0c8.8 0 16-7.2 16-16s-7.2-16-16-16l-112 0 0-48 80 0c8.8 0 16-7.2 16-16s-7.2-16-16-16l-80 0 0-32c0-8.8-7.2-16-16-16zM208 352a16 16 0 1 1 0 32 16 16 0 1 1 0-32zm80 16a16 16 0 1 1 32 0 16 16 0 1 1 -32 0z\"><\/path><\/svg><\/span><span class=\"gb-text\">Identify key barriers to AI implementation in medicine and apply structured, realistic strategies for successful integration within healthcare systems.<\/span><\/li>\n\n\n\n<li class=\"gb-text-2c8ff7cb\"><span class=\"gb-shape\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 640 512\"><!--!Font Awesome Free 6.7.2 by @fontawesome - https:\/\/fontawesome.com License - https:\/\/fontawesome.com\/license\/free Copyright 2025 Fonticons, Inc.--><path d=\"M64 96c0-35.3 28.7-64 64-64l384 0c35.3 0 64 28.7 64 64l0 256-64 0 0-256L128 96l0 256-64 0L64 96zM0 403.2C0 392.6 8.6 384 19.2 384l601.6 0c10.6 0 19.2 8.6 19.2 19.2c0 42.4-34.4 76.8-76.8 76.8L76.8 480C34.4 480 0 445.6 0 403.2zM288 160c0-8.8 7.2-16 16-16l32 0c8.8 0 16 7.2 16 16l0 48 48 0c8.8 0 16 7.2 16 16l0 32c0 8.8-7.2 16-16 16l-48 0 0 48c0 8.8-7.2 16-16 16l-32 0c-8.8 0-16-7.2-16-16l0-48-48 0c-8.8 0-16-7.2-16-16l0-32c0-8.8 7.2-16 16-16l48 0 0-48z\"><\/path><\/svg><\/span><span class=\"gb-text\">Design and execute pragmatic, randomized controlled trials to rigorously assess the clinical effectiveness and impact of AI tools.<\/span><\/li>\n\n\n\n<li class=\"gb-text-117fc319\"><span class=\"gb-shape\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 512 512\"><!--!Font Awesome Free 6.7.2 by @fontawesome - https:\/\/fontawesome.com License - https:\/\/fontawesome.com\/license\/free Copyright 2025 Fonticons, Inc.--><path d=\"M256 512A256 256 0 1 0 256 0a256 256 0 1 0 0 512zm0-384c13.3 0 24 10.7 24 24l0 112c0 13.3-10.7 24-24 24s-24-10.7-24-24l0-112c0-13.3 10.7-24 24-24zM224 352a32 32 0 1 1 64 0 32 32 0 1 1 -64 0z\"><\/path><\/svg><\/span><span class=\"gb-text\">Draw actionable insights from real-world case studies to avoid common pitfalls and accelerate effective, evidence-based AI adoption in healthcare.<\/span><\/li>\n<\/ul>\n<\/div>\n\n\n\n<div class=\"gb-element-4b99d351\" id=\"meet\">\n<h2 class=\"gb-text gb-text-6d2573e8\">Meet Your Instructor<\/h2>\n\n\n\n<div class=\"gb-element-4dbad32e\">\n<div>\n<img loading=\"lazy\" decoding=\"async\" width=\"150\" height=\"150\" class=\"gb-media-8d71da86\" src=\"https:\/\/engineering.jhu.edu\/ExecEd\/wp-content\/uploads\/2025\/06\/daniel-byrne-headshot-150x150.jpg\" alt=\"\" title=\"daniel-byrne-headshot\" srcset=\"https:\/\/engineering.jhu.edu\/ExecEd\/wp-content\/uploads\/2025\/06\/daniel-byrne-headshot-150x150.jpg 150w, https:\/\/engineering.jhu.edu\/ExecEd\/wp-content\/uploads\/2025\/06\/daniel-byrne-headshot-300x300.jpg 300w, https:\/\/engineering.jhu.edu\/ExecEd\/wp-content\/uploads\/2025\/06\/daniel-byrne-headshot.jpg 500w\" sizes=\"auto, (max-width: 150px) 100vw, 150px\" \/>\n<\/div>\n\n\n\n<div>\n<p class=\"gb-text\">Daniel Byrne, with more than 40 years of AI development and testing experience across various medical domains, brings unparalleled expertise to this course. As the former director of artificial intelligence research at Vanderbilt University, he has mentored hundreds of physician-scientists and earned numerous teaching awards. <br><a href=\"https:\/\/engineering.jhu.edu\/ExecEd\/johns-hopkins-university-ai-essentials-congressional-staffers\/#top\"><\/a><\/p>\n<\/div>\n\n\n\n<p class=\"gb-text gb-text-f60da810\">His extensive background in pragmatic randomized controlled trials and biostatistics ensures a rigorous and practical learning experience. For the past 25 years, \u00ad\u00adhe was a faculty member in the Department of Biostatistics at Vanderbilt. Byrne holds a bachelor\u2019s degree in biology and computer science from the State University of New York at Albany and a master\u2019s degree in biostatistics from New York Medical College. He is the author of more than 160 scientific papers and two books: Publishing Your Medical Research and Artificial Intelligence for Improved Patient Outcomes \u2013 Principles for Moving Forward with Rigorous Science.<\/p>\n<\/div>\n<\/div>\n\n\n\n<div class=\"gb-accordion\" id=\"remission\">\n<div class=\"gb-accordion__item gb-accordion__item-8a6e8aae\" id=\"tuition-accordion\">\n<div role=\"button\" tabindex=\"0\" class=\"gb-accordion__toggle gb-accordion__toggle-eddfd0a8\" id=\"tuition-accordion\">\n<h3 class=\"gb-text gb-text-e63e8c9a\">Payment Options and JHU Tuition Remission<\/h3>\n\n\n\n<span class=\"gb-accordion__toggle-icon gb-accordion__toggle-icon-489edd3b\"><span class=\"gb-accordion__toggle-icon-open\"><svg aria-hidden=\"true\" viewBox=\"0 0 256 256\"><rect width=\"256\" height=\"256\" fill=\"none\"><\/rect><polyline points=\"208 96 128 176 48 96\" fill=\"none\" stroke=\"currentColor\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke-width=\"16\"><\/polyline><\/svg><\/span><span class=\"gb-accordion__toggle-icon-close\"><svg aria-hidden=\"true\" viewBox=\"0 0 256 256\"><rect width=\"256\" height=\"256\" fill=\"none\"><\/rect><polyline points=\"48 160 128 80 208 160\" fill=\"none\" stroke=\"currentColor\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke-width=\"16\"><\/polyline><\/svg><\/span><\/span>\n<\/div>\n\n\n\n<div class=\"gb-accordion__content\" id=\"gb-accordion-content-ec3baf02\">\n<div class=\"gb-element-b94fd9be\">\n<p class=\"gb-text\">Full-time, benefits-eligible Johns Hopkins University faculty or staff members are eligible to receive tuition remission if:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>you are a full-time, benefits-eligible faculty or staff member who has been employed by JHU for at least 120 days<\/li>\n\n\n\n<li>you continue in a full-time position while enrolled in courses<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">You receive 100% remission if:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>your department certifies that the course benefits your professional development<\/li>\n\n\n\n<li>your department is willing to assume the cost if you do not attend the course or if you cancel with less than one week\u2019s notice. The one-week cancellation notice is waived only for emergencies with written documentation.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">ELIGIBILITY: Full-time Johns Hopkins University faculty and staff qualify for tuition remission after the employee completes 120 days of full-time employment at the university. Please visit the <a href=\"https:\/\/hr.jhu.edu\/benefits-worklife\/tuition-assistance\/\">benefits website<\/a>&nbsp;for information and requirements.<br><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Visiting faculty and staff, residents, interns, postdoctoral fellows, retirees, and dependents&nbsp;are not eligible for tuition remission.<br><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">There is an annual limit of 2 classes per calendar year for noncredit professional development courses taken at JHU. For more information on this policy, please refer to the&nbsp;<a href=\"https:\/\/hr.jhu.edu\/benefits-worklife\/tuition-assistance\/tuition-reimbursement\/\">HR website<\/a>.<br><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">You will receive a link to the tuition remission form via email to start the process of gaining tuition remission.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n<div class=\"gb-accordion__item gb-accordion__item-feb3c916\" id=\"tuition-accordion\">\n<div role=\"button\" tabindex=\"0\" class=\"gb-accordion__toggle gb-accordion__toggle-6fee04a2\" id=\"tuition-accordion\">\n<h3 class=\"gb-text gb-text-917b3d80\">Accreditation Statement \/ Credit Designation Statement<\/h3>\n\n\n\n<span class=\"gb-accordion__toggle-icon gb-accordion__toggle-icon-2738f824\"><span class=\"gb-accordion__toggle-icon-open\"><svg aria-hidden=\"true\" viewBox=\"0 0 256 256\"><rect width=\"256\" height=\"256\" fill=\"none\"><\/rect><polyline points=\"208 96 128 176 48 96\" fill=\"none\" stroke=\"currentColor\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke-width=\"16\"><\/polyline><\/svg><\/span><span class=\"gb-accordion__toggle-icon-close\"><svg aria-hidden=\"true\" viewBox=\"0 0 256 256\"><rect width=\"256\" height=\"256\" fill=\"none\"><\/rect><polyline points=\"48 160 128 80 208 160\" fill=\"none\" stroke=\"currentColor\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke-width=\"16\"><\/polyline><\/svg><\/span><\/span>\n<\/div>\n\n\n\n<div class=\"gb-accordion__content\" id=\"gb-accordion-content-338a8f62\">\n<div class=\"gb-element-554197a7\">\n<p class=\"gb-text\">The Johns Hopkins University School of Medicine is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians.<br><br>CREDIT DESIGNATION STATEMENT<br>The Johns Hopkins University School of Medicine designates this live activity for a maximum of 6.25 AMA PRA Category 1 CreditsTM. Physicians should claim only the credit commensurate with the extent of their participation in the activity.<br><br>Policy on PRESENTER and PROVIDER Disclosure<br>It is the policy of the Johns Hopkins School of Medicine that the presenter and provider globally disclose conflicts of interest. The Johns Hopkins School of Medicine OCME has established policies in place to identify and mitigate relevant conflicts of interest prior to this educational activity. Detailed disclosure will be made prior to presentation of the education.<br><br>OTHER CREDITS<br>The Johns Hopkins University has approved this activity for 6.25 contact hours for non-physicians.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n<div class=\"gb-accordion__item gb-accordion__item-95484178\" id=\"tuition-accordion\">\n<div role=\"button\" tabindex=\"0\" class=\"gb-accordion__toggle gb-accordion__toggle-022b260f\" id=\"tuition-accordion\">\n<h3 class=\"gb-text gb-text-6954d183\">How to Obtain Credit \/ Internet CME Policy<\/h3>\n\n\n\n<span class=\"gb-accordion__toggle-icon gb-accordion__toggle-icon-32e3c4d6\"><span class=\"gb-accordion__toggle-icon-open\"><svg aria-hidden=\"true\" viewBox=\"0 0 256 256\"><rect width=\"256\" height=\"256\" fill=\"none\"><\/rect><polyline points=\"208 96 128 176 48 96\" fill=\"none\" stroke=\"currentColor\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke-width=\"16\"><\/polyline><\/svg><\/span><span class=\"gb-accordion__toggle-icon-close\"><svg aria-hidden=\"true\" viewBox=\"0 0 256 256\"><rect width=\"256\" height=\"256\" fill=\"none\"><\/rect><polyline points=\"48 160 128 80 208 160\" fill=\"none\" stroke=\"currentColor\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke-width=\"16\"><\/polyline><\/svg><\/span><\/span>\n<\/div>\n\n\n\n<div class=\"gb-accordion__content\" id=\"gb-accordion-content-6f51a1ad\">\n<div class=\"gb-element-7aa1183e\">\n<p class=\"gb-text\">Post activity, an online evaluation will be available to attendees to evaluate the activity and individual presentations and to identify future educational needs. Upon completion of the evaluation, the learner must attest to the number of hours in attendance. Credits earned will be added to the learner\u2019s transcript and immediately available for print. The last day to access the evaluation and attest to your credits is 45 days after you have attended .<br>An outcome survey will be sent to all learners within two months post activity to assist us in determining what impact this activity had on the learner\u2019s practice.<br><br>The Office of Continuing Medical Education (OCME) at the Johns Hopkins School of Medicine is committed to protecting the privacy of its members and customers. Johns Hopkins School of Medicine OCME maintains its internet site as an information resource and service for physicians, other health professionals and the public. OCME at the Johns Hopkins School of Medicine will keep your personal and credit information confidential when you participate in a CME Internet-based program. Your information will never be given to anyone outside of the Johns Hopkins School of Medicine CME program. CME collects only the information necessary to provide you with the services that you request.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n<\/div>\n\n<div class=\"gb-container gb-container-079cd657\">\n<div class=\"gb-container gb-container-c066abdd\" id=\"sticky\">\n\n<p class=\"gb-text gb-text-e62f233e\"><strong>AI for Improved Patient Outcomes<\/strong><\/p>\n\n\n\n<div class=\"gb-element-d954a81d\">\n<div class=\"gb-element-d0ef771a\">\n<p class=\"gb-text-ad234970\"><span class=\"gb-shape\"><svg aria-hidden=\"true\" role=\"img\" height=\"1em\" width=\"1em\" viewBox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path fill=\"currentColor\" d=\"M148 288h-40c-6.6 0-12-5.4-12-12v-40c0-6.6 5.4-12 12-12h40c6.6 0 12 5.4 12 12v40c0 6.6-5.4 12-12 12zm108-12v-40c0-6.6-5.4-12-12-12h-40c-6.6 0-12 5.4-12 12v40c0 6.6 5.4 12 12 12h40c6.6 0 12-5.4 12-12zm96 0v-40c0-6.6-5.4-12-12-12h-40c-6.6 0-12 5.4-12 12v40c0 6.6 5.4 12 12 12h40c6.6 0 12-5.4 12-12zm-96 96v-40c0-6.6-5.4-12-12-12h-40c-6.6 0-12 5.4-12 12v40c0 6.6 5.4 12 12 12h40c6.6 0 12-5.4 12-12zm-96 0v-40c0-6.6-5.4-12-12-12h-40c-6.6 0-12 5.4-12 12v40c0 6.6 5.4 12 12 12h40c6.6 0 12-5.4 12-12zm192 0v-40c0-6.6-5.4-12-12-12h-40c-6.6 0-12 5.4-12 12v40c0 6.6 5.4 12 12 12h40c6.6 0 12-5.4 12-12zm96-260v352c0 26.5-21.5 48-48 48H48c-26.5 0-48-21.5-48-48V112c0-26.5 21.5-48 48-48h48V12c0-6.6 5.4-12 12-12h40c6.6 0 12 5.4 12 12v52h128V12c0-6.6 5.4-12 12-12h40c6.6 0 12 5.4 12 12v52h48c26.5 0 48 21.5 48 48zm-48 346V160H48v298c0 3.3 2.7 6 6 6h340c3.3 0 6-2.7 6-6z\"><\/path><\/svg><\/span><span class=\"gb-text\">Upcoming Dates and Offerings<\/span><\/p>\n\n\n\n<div class=\"gb-element-71d62b72\">\n<p class=\"gb-text-20d6a71d\"><span class=\"gb-shape\"><svg height=\"512\" viewBox=\"0 0 512 512\" width=\"512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><title><\/title><path d=\"M346.65,304.3a136,136,0,0,0-180.71,0,21,21,0,1,0,27.91,31.38,94,94,0,0,1,124.89,0,21,21,0,0,0,27.91-31.4Z\"><\/path><path d=\"M256.28,183.7a221.47,221.47,0,0,0-151.8,59.92,21,21,0,1,0,28.68,30.67,180.28,180.28,0,0,1,246.24,0,21,21,0,1,0,28.68-30.67A221.47,221.47,0,0,0,256.28,183.7Z\"><\/path><path d=\"M462,175.86a309,309,0,0,0-411.44,0,21,21,0,1,0,28,31.29,267,267,0,0,1,355.43,0,21,21,0,0,0,28-31.31Z\"><\/path><circle cx=\"256.28\" cy=\"393.41\" r=\"32\"><\/circle><\/svg><\/span><span class=\"gb-text\">Next Cohort Will Be Announced Soon<\/span><\/p>\n\n\n\n<a class=\"gb-text gb-text-d18f036a\" href=\"https:\/\/hopkinscme.cloud-cme.com\/course\/courseoverview?P=0&#038;EID=59205\">REGISTER NOW<\/a>\n\n\n\n<p class=\"wp-block-paragraph\"><strong> You will be redirected to Hopkins Medicine<\/strong><\/p>\n<\/div>\n<\/div>\n<\/div>\n\n<\/div>\n<\/div><\/div>\n\n<\/div><\/div>\n\n\n","protected":false},"excerpt":{"rendered":"<p>Build and evaluate AI and predictive modeling tools in medicine.<\/p>\n","protected":false},"featured_media":13816,"template":"","format":[46],"meta":{"_acf_changed":false,"footnotes":""},"categories":[56,60],"company":[],"offering":[44],"class_list":["post-13732","course","type-course","status-publish","has-post-thumbnail","hentry","category-artificial-intelligence","category-healthcare","format-online-live","offering-course"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.0 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>AI Healthcare Course: Improved Patient Outcomes | Johns Hopkins<\/title>\n<meta name=\"description\" content=\"Take online or in-person.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/engineering.jhu.edu\/ExecEd\/course\/ai-for-improved-patient-outcomes\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AI Healthcare Course: Improved Patient Outcomes | Johns Hopkins\" \/>\n<meta property=\"og:description\" content=\"Take online or in-person.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/engineering.jhu.edu\/ExecEd\/course\/ai-for-improved-patient-outcomes\/\" \/>\n<meta property=\"og:site_name\" content=\"Executive &amp; Professional Education\" \/>\n<meta property=\"article:modified_time\" content=\"2026-07-14T17:03:57+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/engineering.jhu.edu\/ExecEd\/wp-content\/uploads\/2025\/06\/AdobeStock_1175109072.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"800\" \/>\n\t<meta property=\"og:image:height\" content=\"534\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"11 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/engineering.jhu.edu\\\/ExecEd\\\/course\\\/ai-for-improved-patient-outcomes\\\/\",\"url\":\"https:\\\/\\\/engineering.jhu.edu\\\/ExecEd\\\/course\\\/ai-for-improved-patient-outcomes\\\/\",\"name\":\"AI Healthcare Course: Improved Patient Outcomes | Johns Hopkins\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/engineering.jhu.edu\\\/ExecEd\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/engineering.jhu.edu\\\/ExecEd\\\/course\\\/ai-for-improved-patient-outcomes\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/engineering.jhu.edu\\\/ExecEd\\\/course\\\/ai-for-improved-patient-outcomes\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/engineering.jhu.edu\\\/ExecEd\\\/wp-content\\\/uploads\\\/2025\\\/06\\\/AdobeStock_1175109072.jpg\",\"datePublished\":\"2025-06-16T22:22:48+00:00\",\"dateModified\":\"2026-07-14T17:03:57+00:00\",\"description\":\"Take online or in-person.\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/engineering.jhu.edu\\\/ExecEd\\\/course\\\/ai-for-improved-patient-outcomes\\\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/engineering.jhu.edu\\\/ExecEd\\\/course\\\/ai-for-improved-patient-outcomes\\\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/engineering.jhu.edu\\\/ExecEd\\\/course\\\/ai-for-improved-patient-outcomes\\\/#primaryimage\",\"url\":\"https:\\\/\\\/engineering.jhu.edu\\\/ExecEd\\\/wp-content\\\/uploads\\\/2025\\\/06\\\/AdobeStock_1175109072.jpg\",\"contentUrl\":\"https:\\\/\\\/engineering.jhu.edu\\\/ExecEd\\\/wp-content\\\/uploads\\\/2025\\\/06\\\/AdobeStock_1175109072.jpg\",\"width\":800,\"height\":534},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/engineering.jhu.edu\\\/ExecEd\\\/course\\\/ai-for-improved-patient-outcomes\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/engineering.jhu.edu\\\/ExecEd\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Courses\",\"item\":\"https:\\\/\\\/engineering.jhu.edu\\\/ExecEd\\\/courses\\\/\"},{\"@type\":\"ListItem\",\"position\":3,\"name\":\"AI for Improved Patient Outcomes\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/engineering.jhu.edu\\\/ExecEd\\\/#website\",\"url\":\"https:\\\/\\\/engineering.jhu.edu\\\/ExecEd\\\/\",\"name\":\"Executive &amp; Professional Education\",\"description\":\"\",\"publisher\":{\"@id\":\"https:\\\/\\\/engineering.jhu.edu\\\/ExecEd\\\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/engineering.jhu.edu\\\/ExecEd\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/engineering.jhu.edu\\\/ExecEd\\\/#organization\",\"name\":\"Executive &amp; Professional Education\",\"url\":\"https:\\\/\\\/engineering.jhu.edu\\\/ExecEd\\\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/engineering.jhu.edu\\\/ExecEd\\\/#\\\/schema\\\/logo\\\/image\\\/\",\"url\":\"https:\\\/\\\/engineering.jhu.edu\\\/ExecEd\\\/wp-content\\\/uploads\\\/2025\\\/04\\\/LL-header-logo-v2-e1750094828981.png\",\"contentUrl\":\"https:\\\/\\\/engineering.jhu.edu\\\/ExecEd\\\/wp-content\\\/uploads\\\/2025\\\/04\\\/LL-header-logo-v2-e1750094828981.png\",\"width\":225,\"height\":70,\"caption\":\"Executive &amp; Professional Education\"},\"image\":{\"@id\":\"https:\\\/\\\/engineering.jhu.edu\\\/ExecEd\\\/#\\\/schema\\\/logo\\\/image\\\/\"}}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"AI Healthcare Course: Improved Patient Outcomes | Johns Hopkins","description":"Take online or in-person.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/engineering.jhu.edu\/ExecEd\/course\/ai-for-improved-patient-outcomes\/","og_locale":"en_US","og_type":"article","og_title":"AI Healthcare Course: Improved Patient Outcomes | Johns Hopkins","og_description":"Take online or in-person.","og_url":"https:\/\/engineering.jhu.edu\/ExecEd\/course\/ai-for-improved-patient-outcomes\/","og_site_name":"Executive &amp; Professional Education","article_modified_time":"2026-07-14T17:03:57+00:00","og_image":[{"width":800,"height":534,"url":"https:\/\/engineering.jhu.edu\/ExecEd\/wp-content\/uploads\/2025\/06\/AdobeStock_1175109072.jpg","type":"image\/jpeg"}],"twitter_card":"summary_large_image","twitter_misc":{"Est. reading time":"11 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/engineering.jhu.edu\/ExecEd\/course\/ai-for-improved-patient-outcomes\/","url":"https:\/\/engineering.jhu.edu\/ExecEd\/course\/ai-for-improved-patient-outcomes\/","name":"AI Healthcare Course: Improved Patient Outcomes | Johns Hopkins","isPartOf":{"@id":"https:\/\/engineering.jhu.edu\/ExecEd\/#website"},"primaryImageOfPage":{"@id":"https:\/\/engineering.jhu.edu\/ExecEd\/course\/ai-for-improved-patient-outcomes\/#primaryimage"},"image":{"@id":"https:\/\/engineering.jhu.edu\/ExecEd\/course\/ai-for-improved-patient-outcomes\/#primaryimage"},"thumbnailUrl":"https:\/\/engineering.jhu.edu\/ExecEd\/wp-content\/uploads\/2025\/06\/AdobeStock_1175109072.jpg","datePublished":"2025-06-16T22:22:48+00:00","dateModified":"2026-07-14T17:03:57+00:00","description":"Take online or in-person.","breadcrumb":{"@id":"https:\/\/engineering.jhu.edu\/ExecEd\/course\/ai-for-improved-patient-outcomes\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/engineering.jhu.edu\/ExecEd\/course\/ai-for-improved-patient-outcomes\/"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/engineering.jhu.edu\/ExecEd\/course\/ai-for-improved-patient-outcomes\/#primaryimage","url":"https:\/\/engineering.jhu.edu\/ExecEd\/wp-content\/uploads\/2025\/06\/AdobeStock_1175109072.jpg","contentUrl":"https:\/\/engineering.jhu.edu\/ExecEd\/wp-content\/uploads\/2025\/06\/AdobeStock_1175109072.jpg","width":800,"height":534},{"@type":"BreadcrumbList","@id":"https:\/\/engineering.jhu.edu\/ExecEd\/course\/ai-for-improved-patient-outcomes\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/engineering.jhu.edu\/ExecEd\/"},{"@type":"ListItem","position":2,"name":"Courses","item":"https:\/\/engineering.jhu.edu\/ExecEd\/courses\/"},{"@type":"ListItem","position":3,"name":"AI for Improved Patient Outcomes"}]},{"@type":"WebSite","@id":"https:\/\/engineering.jhu.edu\/ExecEd\/#website","url":"https:\/\/engineering.jhu.edu\/ExecEd\/","name":"Executive &amp; Professional Education","description":"","publisher":{"@id":"https:\/\/engineering.jhu.edu\/ExecEd\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/engineering.jhu.edu\/ExecEd\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Organization","@id":"https:\/\/engineering.jhu.edu\/ExecEd\/#organization","name":"Executive &amp; Professional Education","url":"https:\/\/engineering.jhu.edu\/ExecEd\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/engineering.jhu.edu\/ExecEd\/#\/schema\/logo\/image\/","url":"https:\/\/engineering.jhu.edu\/ExecEd\/wp-content\/uploads\/2025\/04\/LL-header-logo-v2-e1750094828981.png","contentUrl":"https:\/\/engineering.jhu.edu\/ExecEd\/wp-content\/uploads\/2025\/04\/LL-header-logo-v2-e1750094828981.png","width":225,"height":70,"caption":"Executive &amp; Professional Education"},"image":{"@id":"https:\/\/engineering.jhu.edu\/ExecEd\/#\/schema\/logo\/image\/"}}]}},"_links":{"self":[{"href":"https:\/\/engineering.jhu.edu\/ExecEd\/wp-json\/wp\/v2\/course\/13732","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/engineering.jhu.edu\/ExecEd\/wp-json\/wp\/v2\/course"}],"about":[{"href":"https:\/\/engineering.jhu.edu\/ExecEd\/wp-json\/wp\/v2\/types\/course"}],"version-history":[{"count":90,"href":"https:\/\/engineering.jhu.edu\/ExecEd\/wp-json\/wp\/v2\/course\/13732\/revisions"}],"predecessor-version":[{"id":35433,"href":"https:\/\/engineering.jhu.edu\/ExecEd\/wp-json\/wp\/v2\/course\/13732\/revisions\/35433"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/engineering.jhu.edu\/ExecEd\/wp-json\/wp\/v2\/media\/13816"}],"wp:attachment":[{"href":"https:\/\/engineering.jhu.edu\/ExecEd\/wp-json\/wp\/v2\/media?parent=13732"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/engineering.jhu.edu\/ExecEd\/wp-json\/wp\/v2\/categories?post=13732"},{"taxonomy":"company","embeddable":true,"href":"https:\/\/engineering.jhu.edu\/ExecEd\/wp-json\/wp\/v2\/company?post=13732"},{"taxonomy":"format","embeddable":true,"href":"https:\/\/engineering.jhu.edu\/ExecEd\/wp-json\/wp\/v2\/format?post=13732"},{"taxonomy":"offering","embeddable":true,"href":"https:\/\/engineering.jhu.edu\/ExecEd\/wp-json\/wp\/v2\/offering?post=13732"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}