{"id":8046,"date":"2025-07-22T23:18:11","date_gmt":"2025-07-22T20:18:11","guid":{"rendered":"https:\/\/jordan-cardiac.org\/?p=8046"},"modified":"2025-07-22T23:18:11","modified_gmt":"2025-07-22T20:18:11","slug":"smart-real-time-pci-risk-estimator-powered-by-hospital-data","status":"publish","type":"post","link":"https:\/\/jordan-cardiac.org\/en\/smart-real-time-pci-risk-estimator-powered-by-hospital-data\/","title":{"rendered":"Smart, Real-Time PCI Risk Estimator\u2014 Powered by Hospital Data"},"content":{"rendered":"<p><span>Smart, Real-Time PCI Risk Estimator\u2014 Powered by Hospital Data<\/span><\/p>\n<p><span>Source: JACC:<\/span><br \/>\n<span>Highlighted in Media: July 7, 2025<\/span><\/p>\n<p><span>Key Summary Points:<\/span><br \/>\n<span>1. Purpose of the Study:<\/span><br \/>\n<span>Mayo Clinic researchers developed a smart, real-time tool that predicts PCI-related risks using hospital Electronic Health Record (EHR) data.<\/span><br \/>\n<span>2. Why This Matters:<\/span><br \/>\n<span>PCI helps treat heart attacks and chest pain, but carries risks such as:<\/span><br \/>\n<span>\u2022 Bleeding<\/span><br \/>\n<span>\u2022 Acute kidney injury (AKI)<\/span><br \/>\n<span>\u2022 Stroke<\/span><br \/>\n<span>\u2022 Death<\/span><br \/>\n<span>Real-time risk assessment supports safer, faster clinical decisions.<\/span><br \/>\n<span>3. How the Tool Works:<\/span><br \/>\n<span>\u2022 It analyzes data from the EHR (e.g., age, labs, vitals, cardiac history).<\/span><br \/>\n<span>\u2022 It uses machine learning trained on 9,000 PCI cases (2016\u20132024).<\/span><br \/>\n<span>\u2022 It generates instant risk scores with no manual data entry.<\/span><br \/>\n<span>4. Test Results:<\/span><br \/>\n<span>\u2022 70% of the PCI cases were used to train the model, 30% to validate.<\/span><br \/>\n<span>\u2022 Accurately predicted:<\/span><br \/>\n<span>\u2022 In-hospital mortality<\/span><br \/>\n<span>\u2022 Major bleeding<\/span><br \/>\n<span>\u2022 AKI<\/span><br \/>\n<span>\u2022 Stroke<\/span><br \/>\n<span>5. Real-Time Use Example:<\/span><br \/>\n<span>\u2022 A 73-year-old woman with STEMI is in the cath lab.<\/span><br \/>\n<span>\u2022 The tool flags high bleeding risk from her EHR.<\/span><br \/>\n<span>\u2022 The team chooses radial access and avoids certain drugs\u2014on the spot.<\/span><br \/>\n<span>6. Can It Be Used Outside Mayo Clinic?<\/span><br \/>\n<span>\u2022 Yes. It works with major EHR systems like Epic, Cerner, etc.<\/span><br \/>\n<span>\u2022 Hospitals in Jordan, the Middle East, or globally can use it\u2014if structured EHR data is available.<\/span><br \/>\n<span>7. Impact on Clinical Practice:<\/span><br \/>\n<span>\u2022 Promotes shared decision-making.<\/span><br \/>\n<span>\u2022 Reduces time delays.<\/span><br \/>\n<span>\u2022 Supports evidence-based, individualized treatment.<\/span><br \/>\n<span>8. Key Quote from the Authors:<\/span><br \/>\n<span>\u201cThese models may be translated to patient care as an automated and individualized real-time risk calculator, obviating the need for manual data entry.\u201d<\/span><\/p>\n<p><a href=\"https:\/\/www.jacc.org\/doi\/10.1016\/j.jacadv.2025.101865\" target=\"_blank\" data-saferedirecturl=\"https:\/\/www.google.com\/url?q=https:\/\/www.jacc.org\/doi\/10.1016\/j.jacadv.2025.101865&amp;source=gmail&amp;ust=1753301494748000&amp;usg=AOvVaw3Qu04F6OD0DpzrGUnTnWNV\" rel=\"noopener\">https:\/\/www.jacc.org\/doi\/10.<wbr \/>1016\/j.jacadv.2025.101865<\/a><\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Smart, Real-Time PCI Risk Estimator\u2014 Powered by Hospital Data Source: JACC: Highlighted in Media: July 7, 2025 Key Summary Points: 1. Purpose of the Study: Mayo Clinic researchers developed a smart, real-time tool that predicts PCI-related risks using hospital Electronic Health Record (EHR) data. 2. Why This Matters: PCI helps treat heart attacks and chest [&hellip;]<\/p>\n","protected":false},"author":145,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-8046","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/jordan-cardiac.org\/en\/wp-json\/wp\/v2\/posts\/8046","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/jordan-cardiac.org\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/jordan-cardiac.org\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/jordan-cardiac.org\/en\/wp-json\/wp\/v2\/users\/145"}],"replies":[{"embeddable":true,"href":"https:\/\/jordan-cardiac.org\/en\/wp-json\/wp\/v2\/comments?post=8046"}],"version-history":[{"count":1,"href":"https:\/\/jordan-cardiac.org\/en\/wp-json\/wp\/v2\/posts\/8046\/revisions"}],"predecessor-version":[{"id":8047,"href":"https:\/\/jordan-cardiac.org\/en\/wp-json\/wp\/v2\/posts\/8046\/revisions\/8047"}],"wp:attachment":[{"href":"https:\/\/jordan-cardiac.org\/en\/wp-json\/wp\/v2\/media?parent=8046"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/jordan-cardiac.org\/en\/wp-json\/wp\/v2\/categories?post=8046"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/jordan-cardiac.org\/en\/wp-json\/wp\/v2\/tags?post=8046"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}