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IntegratedML: Predicting Readmissions
Using InterSystems IRIS for Health™ to Reduce Readmissions
The Readmission Reduction Model by Machine Learning - Charlesmedlab
ML #12 - Deep Dive into Heart Failure Readmissions with Joe Smith
SEPDA 2021: Building Prediction Models for 30-Day Readmissions Among ICU Patients
What If We Use Machine Learning to Predict Patient Readmissions (2 Minutes)
Value-Based Care: Reduce Readmission Rates and Risk with Transitional Care Management (TCM)
Diabetic Patients’ Readmission Prediction using ML | DataHour by Mohit Sahu
Journal Club Podcast: Machine Learning–based Analysis and Prediction of Unplanned 30-Day Readmission
Jorge Luna - Hospital analytics approaches to help inform strategies to reduce 30-day readmissions
How to Use Telehealth to Reduce Readmission Rates
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Last Updated: September 26, 2026
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In this video, we will demonstrate using InterSystems IRIS for Health for notification and analytics to identify patients at high risk for ... The introduction of cloud computing and Attend this webinar to gain knowledge of the analytics tools and methods UPH used, including innovative individualized risk ... Hackathon Spotlight: Predicting This video demonstrates how IntegratedML can be used to make predictions based on table data directly within the SQL ... This video shows the ways in which InterSystems IRIS for Health™ can be used to build applications that Thank you for all of the positive feedback on our real world example on length of stay (episode This week we'll feature Joe ... Alex Moerschbacher and Zhe He: Building Prediction Models for 30-Day In this thought-provoking video, we explore "What If We Use A key objective of value-based care is to In this DataHour, Mohit will walk you through the the process of predicting diabetic patients' August 2022 Journal Club Podcast: Maureen Huber, CFO and COO for Stratus Video, discusses how hospitals can use telehealth and video technology to
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