Using AI to Improve Clinical Outcomes
Clinical Data Science
We are a team of data scientists and engineers that leverage the power of ML and AI at Mount Sinai Hospital.
Clinical Conditions
Data science, machine learning (ML) and artificial intelligence (AI) have the potential to transform the delivery of clinical care and improve early recognition and diagnosis of clinical conditions
Hospital Operations
AI allows us to gain new insights and continuously improve over time as the platform learns from our patients and clinicians to enhance hospital operations
Awareness and Intervention
We have built a powerful real-time streaming clinical data platform that brings the power of ML and AI to improve provider awareness and timely intervention
“Real-Time Machine Learning Alerts to Prevent Escalation of Care: A Nonrandomized Clustered Pragmatic Clinical Trial” study published in Critical Care Medicine journal
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 Medicine...
CDS presentation in the 2024 Critical Care Congress
The Clinical Data Science team, represented by our data scientist Kim-Anh-Nhi Nguyen, MSc, presented the paper "A Deep Learning Model using Chest X-Rays to Predict Re-Intubation Risk in Critical Care" at the 2024 Critical Care Congress in Phoenix, Arizona. More...
A Hybrid Decision Tree and Deep Learning Approach Combining Medical Imaging and Electronic Medical Records to Predict Intubation Among Hospitalized Patients With COVID-19: Algorithm Development and Validation
A new paper written by the Clinical Data Science team has been published in JMIR (https://formative.jmir.org/2023/1/e46905). Background: Early prediction of the need for invasive mechanical ventilation (IMV) in patients hospitalized with COVID-19 symptoms can help in...
Mount Sinai ranked top 5 in the World’s Best Smart Hospitals 2024 list
"Newsweek has ranked Mount Sinai Hospital the #5 Smart Hospital in the world and #1 in New York! The work we’re leading across Digital, AI, and Informatics is continuing to establish our health system as a leader in this space." Robbie Freeman, Vice President of...
Mount Sinai AI projects featured in Washington Post article
The Washington Post has featured several machine learning/AI projects implemented at Mount Sinai in an article published on August 10th, 2023 and title "Hospital bosses love AI. Doctors and nurses are worried." The full article can be found at...
Mount Sinai Health System improves patient outcomes, engages providers, and scales for 3 TB of annual data growth using AI on Azure
Microsoft has been working with the Clinical Data Science team for a few years helping them migrate their infrastructure to the cloud. They have recently shared some details of this partnership via a "Customer Story" article on their website:...
MUST-Plus presentation at the AMIA 2023 Clinical Informatics Conference
The American Medical Informatics Association (AMIA) 2023 Clinical Informatics Conference took place on 05/23 - 05/25. The Clinical Informatics Conference (CIC) is "where clinical informaticists of all disciplines –physicians, nurses, physician assistants, pharmacists,...
Big Data and AI Forum 2023-05-09
The Department of Technology Partners (DTP) at Mount Sinai hosts a Big Data and AI Forum periodically. The latest event took place on May 9th, 2023 and covered a host of new machine learning projects, including: Hospital Acquired Pressure Injury Risk Predictions...
Aggression Risk Score
The Aggression Risk Score is a prognostic tool used to identify patients with high risk of developing aggression episode during their hospital LOS, therefore helping to shift the practice towards preventive paradigms, improving patient safety, and minimizing cost of...