Blog
Our work has been presented at national conferences and published in peer-reviewed journals. We are also frequently posting about our new projects.
Using Electronic Health Records to Enhance Predictions of Fall Risk in Inpatient Settings
Using Electronic Health Records to Enhance Predictions of Fall Risk in Inpatient Settings (research paper) NOTE: The research paper below was published in The Joint Commission Journal on Quality and Patient Safety, Volume 46, pages 199-206. Gil Moskowitz, Natalia N. Egorova, Ariela Hazan, Robert Freeman, David L. Reich, Rosanne M. Leipzig, Using Electronic Health Records to Enhance Predictions of Fall Risk in Inpatient Settings, The Joint Commission Journal on Quality and Patient...
MEWS++: Enhancing the Prediction of Clinical Deterioration in Admitted Patients through a Machine Learning Model
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 Deterioration in Admitted Patients through a Machine Learning Model. Journal of Clinical Medicine. 2020; 9(2):343. https://doi.org/10.3390/jcm9020343 Abstract Early detection of patients at risk for clinical deterioration is crucial...
48hr Discharge (Length of Stay) MSH
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. This model was deployed at Mount Sinai Hospital in July of 2019 and uses a random forest classifier. Rationale Optimal patient flow facilitates beneficial treatment, minimal waiting, minimal exposure to risks associated with...
How to Use Data to Improve Patient Safety
Avoiding patient harm is intrinsic to the work of healthcare professionals. Hippocrates (ca.460–377 BCE), known as the Father of Modern Medicine, helped set this precedent when he said, “The physician must…have two special objects in view with regard to disease,
namely, to do good or to do no harm.” Data can help.
Pipeline Debt
Interesting new open source project, designed to clear one particular form of technical debt in backend systems: pipeline debt.
Getting Buy-In for Predictive Analytics in Health Care
Because putting together a streaming, real-time, machine-learning, predictive analytics infrastructure is the easy part. https://hbr.org/2017/06/getting-buy-in-for-predictive-analytics-in-health-care
Applications of Machine Learning in Pharma and Medicine
Interesting article related to 7 promising applications in healthcare on techemergence.com
https://www.techemergence.com/machine-learning-in-pharma-medicine/
Bio-Data Science Special issue in JAMIA
JAMIA has published a special issue on Biomedical Data Science. Several interesting articles about how these two fields are intersecting/overlapping, including this editorial from the editor in chief Dr. Lucila Ohno-Machado.