Blog
Our work has been presented at national conferences and published in peer-reviewed journals. We are also frequently posting about our new projects.
“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 journal: https://journals.lww.com/ccmjournal/abstract/9900/real_time_machine_learning_alerts_to_prevent.296.aspx Abstract Objectives: Machine learning algorithms can outperform older methods in predicting clinical deterioration, but...
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 details of presentation can be found below: 2024 Critical Care Congress Category: Future of Critical Care Title: A Deep Learning Model using Chest X-Rays to Predict Re-Intubation Risk in Critical Care ...
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 the allocation of resources appropriately and improve patient outcomes by appropriately monitoring and treating patients at the greatest risk of respiratory failure. To help with the complexity of deciding whether a patient needs...
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 Clinical Innovation and Chief Nursing Informatics Officer at the Mount Sinai Health System The complete list can be found at https://www.newsweek.com/rankings/worlds-best-smart-hospitals-2024.
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 https://www.washingtonpost.com/technology/2023/08/10/ai-chatbots-hospital-technology/.
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: https://customers.microsoft.com/en-us/story/1646954942765735886-mount-sinai-health-system-healthcare-cloud-en-united-state
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, dentists, technicians, health IT developers, data analysts, C-suite executives, and more – share their innovations in bringing the technology advances out of the lab and into the front lines of care delivery."...
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 (HAPI) 48Hrs Discharge Planning Tool 2.0 HeartBEit: Integrating ECGs as language BMEII AI Core Below are some of the highlights from the Clinical Data Science team: The Clinical Data Science team has deployed 14...
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 care. The project was deployed on February 2023 at Mount Sinai Hospital. Challenges Patient Aggression is one of the most complex and dangerous occupational hazards in healthcare environment Patents are subjected to more...