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Electronic-Medical-Record-Driven Machine Learning Predictive Model for Hospital-Acquired Pressure Injuries: Development and External Validation

Electronic-Medical-Record-Driven Machine Learning Predictive Model for Hospital-Acquired Pressure Injuries: Development and External Validation

Feb 11, 2025 | General, Projects, Research

Clinical Data Science’s paper “Electronic-Medical-Record-Driven Machine Learning Predictive Model for Hospital-Acquired Pressure Injuries: Development and External Validation” has been published by the Journal of Clinical Medicine. The abstract is...
Mount Sinai Ranks as No. 1 Health Care Institution according to Nature AI Index

Mount Sinai Ranks as No. 1 Health Care Institution according to Nature AI Index

Oct 1, 2024 | General

Mount Sinai Health System has been ranked No. 1 on the new Nature AI Index 2024 of leading healthcare institutions. Here’s full press release from Mount Sinai Communications: Mount Sinai Health System is No. 1 on the new Nature AI Index 2024 list of “Leading 10...
Mount Sinai ranked among the top 10 smart hospitals in the world

Mount Sinai ranked among the top 10 smart hospitals in the world

Sep 18, 2024 | General

Mount Sinai has once again been ranked among the top 10 smart hospitals in the world by Newsweek: This recognition is a direct result of our collective commitment to advancing healthcare through digital, AI, data, and informatics. Robbie Freeman,Vice President of...
Mount Sinai’s CDS team nominated for the Hearst Health Prize

Mount Sinai’s CDS team nominated for the Hearst Health Prize

May 22, 2024 | General

Mount Sinai’s Clinical Data Science team has been nominated for the Hearst Health Prize! “The Hearst Health Prize showcases data science programs making an impact on human health. The judges evaluated submissions using several criteria, including...
Next-Generation Health Care: AI-Driven Patient Risk Profiling for Pressure Injuries in The Mount Sinai Hospital

Next-Generation Health Care: AI-Driven Patient Risk Profiling for Pressure Injuries in The Mount Sinai Hospital

May 21, 2024 | General, Projects

CDS’ Hospital Acquired Pressure Injury Prevention project has been featured in Mount Sinai’s Spring 2024 nursing newsletter, Magnet NEWS. The full article can be found on pages 20-21 (https://mshs.co/3UN8hIS).  
“Real-Time Machine Learning Alerts to Prevent Escalation of Care: A Nonrandomized Clustered Pragmatic Clinical Trial” study published in Critical Care Medicine journal

“Real-Time Machine Learning Alerts to Prevent Escalation of Care: A Nonrandomized Clustered Pragmatic Clinical Trial” study published in Critical Care Medicine journal

Mar 13, 2024 | General, Research

The study titled “Real-Time Machine Learning Alerts to Prevent Escalation of Care: A Nonrandomized Clustered Pragmatic Clinical Trial”, authored by Dr. Levin and several members of the Clinical Data Science team, has been published in the Critical Care...
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Recent Posts

  • Electronic-Medical-Record-Driven Machine Learning Predictive Model for Hospital-Acquired Pressure Injuries: Development and External Validation February 11, 2025
  • Mount Sinai Ranks as No. 1 Health Care Institution according to Nature AI Index October 1, 2024
  • Mount Sinai ranked among the top 10 smart hospitals in the world September 18, 2024
  • Mount Sinai Health System named 2024 Hearst Health Prize winner June 6, 2024
  • Mount Sinai’s CDS team nominated for the Hearst Health Prize May 22, 2024
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