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
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...
Delirium Risk Prediction (v1.1)
The Delirium Risk Prediction tool was developed to predict which patients who have not yet been discharged, might have a delirium episode. Delirium can be defined as a serious change in mental abilities. This project was deployed at Mount Sinai Morningside in December...
Impact of a Real-Time Ventilator Management Dashboard with Alerts: Sustained Hospital-Wide Improvement in Lung Protective Ventilation
The following is a summary of a presentation conducted by our team for the American Thoracic Society 2022 International Conference, which took place May 13-18, 2022. For more information, visit...
CDI Alert System for Metastatic Disease
The Metastatic streaming engine was developed to identify inpatient encounters with high risk of metastatic disease (cancer that spreads from where it started to a distant part of the body) and optimize the capture rate. It was deployed at Mount Sinai Hospital on...