Blog

Our work has been presented at national conferences and published in peer-reviewed journals. We are also frequently posting about our new projects.

Big Data and AI Forum 2023-05-09

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

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)

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

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

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...

Fusion of Chest Radiographs and Electronic Medical Records using Deep Learning to Predict Intubation among Hospitalized Patients with COVID-19

Fusion of Chest Radiographs and Electronic Medical Records using Deep Learning to Predict Intubation among Hospitalized Patients with COVID-19

The following is a summary of a presentation conducted by our team for the AMIA 2022 Informatics Summit which took place on March 21-24, 2022. For more information, visit https://s4.goeshow.com/amia/summit/2022/schedule_at_a_glance.cfm?session_key=0A46ED0B-9129-113F-C3E4-B3A7CA14E915&session_date=Wednesday,%20Mar%2023,%202022.   Fusion of Chest Radiographs and Electronic Medical Records using Deep Learning to Predict Intubation among Hospitalized Patients with COVID-19 Wednesday, Mar...

Strategies for Use of Training, Mentoring, and Sponsoring for Increasing Women in Biostatistics and Data Science Workforce

Strategies for Use of Training, Mentoring, and Sponsoring for Increasing Women in Biostatistics and Data Science Workforce

The following is a summary of a conference presentation conducted by our team at the Women in Statistics and Data Science Conference, which took place October 6-8, 2021. More information can be found at https://ww2.amstat.org/meetings/wsds/2021/onlineprogram/AbstractDetails.cfm?AbstractID=309886. Strategies for Use of Training, Mentoring, and Sponsoring for Increasing Women in Biostatistics and Data Science Workforce: Machine Learning-Based Predictive Models for Assisting with COVID-19 Crisis...

Deployment, Adoption, and Clinical Impact of a Real-Time Ventilator Management Dashboard

Deployment, Adoption, and Clinical Impact of a Real-Time Ventilator Management Dashboard

The following is a summary of a thematic poster presentation conducted by our team for the American Thoracic Society 2021 International Conference, which took place May 14-19, 2021. For more information, visit https://www.atsjournals.org/doi/abs/10.1164/ajrccm-conference.2021.203.1_MeetingAbstracts.A2815. Deployment, Adoption, and Clinical Impact of a Real-Time Ventilator Management Dashboard P. Tandon1, K. Nguyen2, M. Rajendran2, K. S. Mathews3, M. Crow2, R. Freeman2, P. Timsina2, C. A....

Predicting Readiness to Liberate from Mechanical Ventilation Using Machine Learning: Development and Retrospective Validation

Predicting Readiness to Liberate from Mechanical Ventilation Using Machine Learning: Development and Retrospective Validation

The following is a summary of a thematic poster presentation conducted by our team for the American Thoracic Society 2021 International Conference, which took place May 14-19, 2021. For more information, visit https://www.atsjournals.org/doi/abs/10.1164/ajrccm-conference.2021.203.1_MeetingAbstracts.A2757. Predicting Readiness to Liberate from Mechanical Ventilation Using Machine Learning: Development and Retrospective Validation P. Tandon1, F. Cheng2, S. N. Cheetirala2, P. Parchure2, M....