{"id":16774,"date":"2024-10-29T11:51:08","date_gmt":"2024-10-29T11:51:08","guid":{"rendered":"https:\/\/popularreads.co\/dozee-unveils-groundbreaking-study-ai-powered-early-warning-system-predicts-patient-deterioration-up-to-16-hours-in-advance\/"},"modified":"2024-10-29T11:51:08","modified_gmt":"2024-10-29T11:51:08","slug":"dozee-unveils-groundbreaking-study-ai-powered-early-warning-system-predicts-patient-deterioration-up-to-16-hours-in-advance","status":"publish","type":"post","link":"https:\/\/popularreads.co\/?p=16774","title":{"rendered":"Dozee Unveils Groundbreaking Study: AI-Powered Early Warning System Predicts Patient Deterioration Up to 16 Hours in Advance"},"content":{"rendered":"<div class='booster-block booster-read-block'>\n                <div class=\"twp-read-time\">\n                \t<i class=\"booster-icon twp-clock\"><\/i> <span>Read Time:<\/span>3 Minute, 45 Second                <\/div>\n\n            <\/div><p style=\"line-height:1;margin-bottom:0px;margin-top:0px;text-align:center\"><span style=\"font-family:Poppins;font-size:13.33px\"><i>This Landmark Study, One of India\u2019s Largest in Tertiary Care, Reaffirms Dozee\u2019s Commitment to Solving Healthcare Challenges, Saving Lives, and Delivering Scalable, Affordable, World-Class Healthcare for All with Health AI.<\/i><\/span><\/p>\n<p style=\"line-height:1;margin-bottom:0px;margin-top:0px\">\u00a0<\/p>\n<p style=\"line-height:1;margin-bottom:0px;margin-top:0px\"><span style=\"font-family:Poppins;font-size:13.33px\"><span lang=\"en-in\" dir=\"ltr\" xml:lang=\"en-in\"><strong>Bangalore, India \u2013 October <\/strong><\/span><strong>29, 2024:<\/strong> Dozee, India\u2019s Health AI leader, has unveiled the findings of a landmark study published in the internationally renowned journal <i>Frontiers in Medical Technology<\/i>. This journal is part of the prestigious Frontiers group. The study was conducted at King George\u2019s Medical University (KGMU) and is one of the largest observational studies of its kind in Indian tertiary care. This study highlights the groundbreaking impact of Dozee\u2019s AI-powered Early Warning System (EWS), demonstrating its ability to predict patient health deterioration up to <strong>16 hours in advance<\/strong>, thereby providing healthcare professionals with a critical window to intervene early and potentially save lives.<\/span><\/p>\n<p style=\"line-height:1;margin-bottom:16px;margin-top:16px\"><span style=\"font-family:Poppins;font-size:13.33px\">In a nation with 2 million hospital beds, where approximately 1.9 million patients in general wards rely on manual spot checks for monitoring, Dozee\u2019s AI-Powered Remote Patient Monitoring and Early Warning System (EWS) offers a revolutionary solution. This technology has the potential to transform care across 95% of hospital capacity, delivering life-saving continuous monitoring that ensures world-class healthcare at a fraction of the cost of ICU services.<\/span><\/p>\n<p style=\"line-height:1;margin-bottom:16px;margin-top:16px\"><span style=\"font-family:Poppins;font-size:13.33px\">The pioneering observational study monitored over <strong>700 patients<\/strong> across <strong>85,000 hours<\/strong> and demonstrated how Dozee\u2019s Continuous Contactless Remote Patient Monitoring and Early Warning System (EWS) can revolutionize traditional manual processes. By delivering alerts up to <strong>16 hours<\/strong> before a critical event, Dozee\u2019s system empowers healthcare professionals to act earlier, improving patient outcomes while saving healthcare practitioners <strong>2.4 hours per staff member per day<\/strong>. The study analyzed key metrics including alert sensitivity, specificity, average time from initial alert to deterioration, and healthcare practitioners&#8217; activity, providing robust clinical evidence of Dozee\u2019s life-saving impact.<\/span><\/p>\n<p style=\"line-height:1;margin-bottom:16px;margin-top:16px\"><span style=\"font-family:Poppins;font-size:13.33px\">In many Indian hospitals, continuous monitoring is limited to ICUs, leaving general wards\u2014where the majority of patients reside\u2014vulnerable to undetected clinical deterioration. This study demonstrates that Dozee\u2019s EWS bridges this gap by continuously tracking vitals such as heart rate, respiratory rate, and blood pressure. The results showed that Dozee&#8217;s EWS predicted patient deterioration in <strong>67% to 94% of cases<\/strong>, allowing healthcare providers to intervene long before conditions became critical. This early detection holds the potential to <strong>save 21 lakh lives annually<\/strong> and <strong>reduce healthcare costs by \u20b96400 crores<\/strong>.<\/span><\/p>\n<p style=\"line-height:1;margin-bottom:16px;margin-top:16px\"><span style=\"font-family:Poppins;font-size:13.33px\"><strong>Key Findings from the Study:<\/strong><\/span><\/p>\n<ul>\n<li><span style=\"font-family:Poppins;font-size:13.33px\">Dozee\u2019s EWS alerted patients\u2019 health deterioration about <strong>16 hours in advance\u00a0<\/strong><\/span><\/li>\n<li><span style=\"font-family:Poppins;font-size:13.33px\">Continuous monitoring saved 10% of healthcare practitioners\u2019 time, equivalent to 2.4 hours per day.<\/span><\/li>\n<\/ul>\n<p style=\"line-height:1;margin-bottom:16px;margin-top:16px\"><span style=\"font-family:Poppins;font-size:13.33px\"><strong>Dr. Himanshu Dandu, Professor in the Department of Medicine at KGMU<\/strong>, emphasized the technology&#8217;s potential to enhance critical care in resource-constrained environments. \u201cThis system enables early detection and continuous patient monitoring, providing a scalable and affordable solution tailored to the demands of healthcare systems facing heavy patient loads. The ability to detect signs of patient health deterioration can significantly improve their survival rates.\u201d<\/span><\/p>\n<p style=\"line-height:1;margin-bottom:16px;margin-top:16px\"><span style=\"font-family:Poppins;font-size:13.33px\"><strong>Dr. Jean-Louis Teboul, a world-renowned intensivist and critical care expert from Paris-Saclay University<\/strong>, emphasized the global implications of the study, \u201cWhat we have achieved in India has the potential to reshape healthcare globally. The challenges may differ, but the need for equitable, timely, and affordable care remains universal.\u201d<\/span><\/p>\n<p style=\"line-height:1;margin-bottom:16px;margin-top:16px\"><span style=\"font-family:Poppins;font-size:13.33px\">\u201cThe results of this study affirm what we\u2019ve always believed\u2014this real-world evidence demonstrates technology\u2019s ability to transform healthcare, making it more efficient, accessible, and equitable,\u201d said <strong>Mr. Gaurav Parchani, CTO &amp; Co-Founder of Dozee<\/strong>. \u201cWe\u2019re not just solving a problem for India but laying the groundwork for global healthcare solutions.\u201d<\/span><\/p>\n<p style=\"line-height:1;margin-bottom:16px;margin-top:16px\"><span style=\"font-family:Poppins;font-size:13.33px\">The study, authored by a distinguished team of experts from across the globe, including Dr. Himanshu Dandu and Dr. Ambuj Yadav from KGMU, along with Dozee\u2019s clinical research team\u2014Mr. Gaurav Parchani, Dr. Kumar Chokalingam, and Ms. Pooja Kadambi, Dr. Rajesh Mishra, an Intensivist and former ISCCM President, and Dr. Ahsina Jahan, Deputy Medical Director in charge of ICU and Emergency from Bangladesh. It has garnered international attention with contributions from Dr. Jean-Louis Teboul, Paris-Saclay Medical University and Dr. Jos M. Latour from University of Plymouth, United Kingdom. \u00a0The study findings emphasize that Dozee\u2019s health AI offers more than a national solution; it addresses global healthcare gaps. Traditional models are proving unsustainable, and Dozee\u2019s system provides a simple, scalable, and affordable solution that not only digitizes healthcare but could serve as a blueprint for global adoption.<\/span><\/p>\n<p style=\"line-height:1;margin-bottom:16px;margin-top:16px\"><span style=\"font-family:Poppins;font-size:13.33px\">Publication details: doi: 10.3389\/fmedt.2024.1436034<\/span><\/p>\n        <div class=\"booster-block booster-reactions-block\">\n            <div class=\"twp-reactions-icons\">\n                \n                <div class=\"twp-reacts-wrap\">\n                    <a react-data=\"be-react-1\" post-id=\"16774\" class=\"be-face-icons un-reacted\" href=\"javascript:void(0)\">\n                        <img decoding=\"async\" src=\"https:\/\/popularreads.co\/wp-content\/plugins\/booster-extension\/\/assets\/icon\/happy.svg\" alt=\"Happy\">\n                    <\/a>\n                    <div class=\"twp-reaction-title\">\n                        Happy     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World-Class Healthcare for All with Health AI. \u00a0 Bangalore, India \u2013 October 29, 2024: Dozee, India\u2019s Health AI leader, has unveiled the findings of a landmark study published in the internationally renowned [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":16775,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[66],"tags":[],"class_list":["post-16774","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-agency-news"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Dozee Unveils Groundbreaking Study: AI-Powered Early Warning System Predicts Patient Deterioration Up to 16 Hours in Advance<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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