Blog
Our work has been presented at national conferences and published in peer-reviewed journals. We are also frequently posting about our new projects.
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...
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 2022. Definition Confusion A mental and behavioral state 8 Reduced comprehension, coherence, and capacity to reason 8 Most common problem in medicine 8 Accounting for a large number of emergency visits, hospital admissions and...
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 https://www.atsjournals.org/doi/abs/10.1164/ajrccm-conference.2022.205.1_MeetingAbstracts.A2380. Impact of a Real-Time Ventilator Management Dashboard with Alerts: Sustained Hospital-Wide Improvement in Lung Protective Ventilation P. Tandon1, K. Nguyen2, G. Raut2, S. Ranginwala3, G. Oldenberg3, K. S....
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 April 2022. Clinical Documentation Integrity (CDI) Core of every patient encounter is clinical documentation accurately reflecting the patient’s disease burden and scope of services provided. Clinical documentation must be : Clear...