Projects | Clinical Data Science | Mount Sinai

Oncology Prognosis Tool

Mar 4, 2021 | Projects

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

Jan 8, 2021 | Projects

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

Jul 23, 2020 | Projects, Research

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...

MEWS++: Enhancing the Prediction of Clinical Deterioration in Admitted Patients through a Machine Learning Model

Jan 27, 2020 | Projects, Research

The research paper below was published in Journal of Clinical Medicine. 2020; 9(2):343. Kia A, Timsina P, Joshi HN, Klang E, Gupta RR, Freeman RM, Reich DL, Tomlinson MS, Dudley JT, Kohli-Seth R, Mazumdar M, Levin MA. MEWS++: Enhancing the Prediction of Clinical...

48hr Discharge (Length of Stay) MSH

Jul 4, 2019 | Projects

The 48Hr Discharge (aka Length of Stay) streaming engine was created to predict the probability of patient discharge (by 2pm and midnight daily) and therefore help automate the RTDC system and assist in the prioritization of remaining tasks at Mount Sinai Hospital....

Oncology Prognosis Tool

Patient Experience Project

MUST-Plus: A Machine Learning Classifier That Improves Malnutrition Screening in Acute Care Facilities

MEWS++: Enhancing the Prediction of Clinical Deterioration in Admitted Patients through a Machine Learning Model

48hr Discharge (Length of Stay) MSH

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