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Jorge Luna - Hospital analytics approaches to help inform strategies to reduce 30-day readmissions
Reducing 30-Day Hospital Readmissions, BridgeVisit, Dr. Edward Espinosa, Atlanta
Intelligible Models for HealthCare: Predicting Pneumonia Risk and Hospital 30-day Readmission
Predicting the Risk of 30-Day CHF Readmissions Using AI
Reducing Readmissions with Machine Learning
Study Raises Important Questions Regarding the 30-day Readmission Metric for HF
Using RaaS to predict hospital readmission rates
IntegratedML: Predicting Readmissions
Patient Readmission Rate Prediction| +91-7973788405 for query| Diabetic Patients|
RAC CT PDPM 4 1 1 IPA V09 2025
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Last Updated: September 22, 2026
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Attend this webinar to gain knowledge of the analytics tools and methods UPH used, including innovative individualized risk ... Caroline Vuong, MD, PhD, Amsterdam UMC, Amsterdam, The Netherlands, speaks on a single-center study conducted to develop ... 2022 Emerging Scholars Presentations at the Philip R. Lee Institute for Health Policy Studies, UCSF Hospital analytics approaches to help inform strategies to reduce The bridge visit is a 15 to 20 minute video enhanced telemedicine visit that occurs 2 to 5 Authors: Rich Caruana, Yin Lou, Johannes Gehrke, Paul Koch, Marc Sturm, Noemie Elhadad Abstract: In machine learning often ... In this video, we will demonstrate using InterSystems IRIS for Health for notification and analytics to identify A controversial program that continues to cost hospitals a lot of money is the focus of this new study in JACC Heart Failure. What can happen when a team of machine learning researchers collaborate with cardiologists and clinicians to take advantage of ... This video demonstrates how IntegratedML can be used to make Uh on top of what we would have uh received just by using the 5-
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