Projects
Since 2017, our team has deployed several projects throughout the Mount Sinai Hospital system.
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...
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...
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...
Oncology Prognosis Tool
The Oncology Prognosis Tool is a classifier used to determine the eligibility of patients for serious illness conversation. It was deployed at the Mount Sinai Oncology Outpatient unit in March 2021 and Inpatient unit in August 2022. Challenges Majority of patients(~...
Patient Experience Project
The objective of the Patient Experience project is to predict patients who are most likely to report a sub-optimal inpatient experience in order to initiate service recovery, or other engagement strategies of the patient experience team, prior to discharge. The...
MUST-Plus: A Machine Learning Classifier That Improves Malnutrition Screening in Acute Care Facilities
The paper below was published in the Journal of the American College of Nutrition, 40:1,3-12. Prem Timsina, Himanshu N. Joshi, Fu-Yuan Cheng, Ilana Kersch, Sara Wilson, Claudia Colgan, Robert Freeman, David L. Reich, Jeffrey Mechanick, Madhu Mazumdar, Matthew A. Levin...