eCART
Clinical Pathways
Company
Account
Approach
Solutions
eCART
Clinical Pathways
Publications
eCART
Clinical Pathways
News
Blog
Contact
Help & Support
Sign in
Publications
eCART™
Featured
American Thoracic Society, American Journal of Respiratory and Critical Care Medicine
Infection Specific Versus General Early Warning Scores for Predicting Sepsis on a Medical-Surgical Ward: A Multicenter Analysis
Am J Respir Crit Care Med. 2025;211:A5678.
JAMA Network Open
Early Warning Scores With and Without Artificial Intelligence
JAMA Netw Open. 2024;7(10):e2438986.
Critical Care Explorations
Causes, Diagnostic Testing, and Treatments Related to Clinical Deterioration Events Among High-Risk Ward Patients
Crit Care Explor. 2024;6(10):e1161.
U.S. Food and Drug Administration
510(k) Summary: eCARTv5 Clinical Deterioration Suite (“eCART”)
U.S. Food and Drug Administration. Premarket Notification (K233253), May 17, 2024.
Circulation
Measuring the Return on Investment of an Artificial Intelligence (AI) Early Warning System
Circulation. 2023;148(Suppl 1: Abstract 350).
Critical Care Medicine
The Impact of a Machine Learning Early Warning Score on Hospital Mortality: A Multicenter Clinical Intervention Trial
Crit Care Med. 2022;50(9):1339-1347.
Additional
Circulation
The Benefits of Proactive Versus Reactive Rapid Response Activations
Circulation. 2025;152(Suppl 3).
2025
Critical Care Explorations
Multicenter Development and Prospective Validation of eCARTv5: A Gradient Boosted Machine Learning Early Warning Score
Crit Care Explor. 2025;7(4):e1232.
2025
Pediatric Critical Care Medicine
Machine Learning-Based Pediatric Early Warning Score: Patient Outcomes in a Pre- Versus Post-Implementation Study, 2019–2023
Pediatric Critical Care Medicine. 2025;26(2):p e146-e154.
2025
Resuscitation
A novel structured debriefing program for consensus determinations of in-hospital cardiac arrest predictability and preventability
Resuscitation. 2024;197:110161.
2024
BMC Pregnancy Childbirth
Comparison of early warning scores for predicting clinical deterioration and infection in obstetric patients
BMC Pregnancy Childbirth. 2022;22(1):295.
2022
Resuscitation
Less is More: Detecting Clinical Deterioration in the Hospital with Machine Learning Using Only Age, Heart Rate, and Respiratory Rate
Resuscitation. 2021;168:6-10.
2021
Critical Care Medicine
Scratching the Surface of Clinical Deterioration With Deep Learning
Crit Care Med. 2021;49(8):1366-1368.
2021
Critical Care Medicine
Determining the Electronic Signature of Infection in Electronic Health Record Data
Crit Care Med. 2021;49(7):e673-e682.
2021
JAMA Network Open
Internal and External Validation of a Machine Learning Risk Score for Acute Kidney Injury
JAMA Netw Open. 2020;3(8):e2012892.
2020
Resuscitation
Predicting clinical deterioration with Q-ADDS compared to NEWS, Between the Flags, and eCART track and trigger tools
Resuscitation. 2020;153:28-34.
2020
Annals of the American Thoracic Society
Accuracy of Clinicians' Ability to Predict the Need for Intensive Care Unit Readmission
Ann Am Thorac Soc. 2020;17(7):847-853.
2020
JAMA Network Open
Comparison of Early Warning Scoring Systems for Hospitalized Patients With and Without Infection at Risk for In-Hospital Mortality and Transfer to the Intensive Care Unit
JAMA Netw Open. 2020;3(5):e205191.
2020
Critical Care Medicine
Validation of Early Warning Scores at Two Long-Term Acute Care Hospitals
Crit Care Med. 2019;47(12):e962-e965.
2019
Annals of Surgery
Validating the Electronic Cardiac Arrest Risk Triage (eCART) Score for Risk Stratification of Surgical Inpatients in the Postoperative Setting
Ann Surg. 2019;269(6):1059-1063.
2019
Catheterization and Cardiovascular Interventions
Electronic cardiac arrest triage score best predicts mortality after intervention in patients with massive and submassive pulmonary embolism.
Catheter Cardiovasc Interv. 2018;92(2):366-371.
2018
Critical Care Medicine
American Heart Association’s Get With The Guidelines-Resuscitation Investigators. Predictors of In-Hospital Mortality After Rapid Response Team Calls in a 274 Hospital Nationwide Sample
Crit Care Med. 2018;46(7):1041-1048.
2018
Annals of the American Thoracic Society
Predicting Intensive Care Unit Readmission with Machine Learning Using Electronic Health Record Data
Ann Am Thorac Soc. 2018;15(7):846-853.
2018
Chest
Implications of Centers for Medicare & Medicaid Services Severe Sepsis and Septic Shock Early Management Bundle and Initial Lactate Measurement on the Management of Sepsis
Chest. 2018;154(2):302-308.
2018
Journal of Hospital Medicine
Accuracy Comparisons between Manual and Automated Respiratory Rate for Detecting Clinical Deterioration in Ward Patients
J Hosp Med. 2018;13(7):486-487.
2018
Resuscitation
Comparison of the Between the Flags calling criteria to the MEWS, NEWS and the electronic Cardiac Arrest Risk Triage (eCART) score for the identification of deteriorating ward patients
Resuscitation 2018;123:86–91.
2017
Critical Care Medicine
Investigating the impact of different suspicion of infection criteria on the accuracy of qSOFA, SIRS, and early warning scores
Crit Care Med. 2017;45(11):1805-1812.
2017
Journal of Hospital Medicine
Association Between Opioid and Benzodiazepine Use and Clinical Deterioration in Ward Patients
J Hosp Med. 2017;12(6):428-434.
2017
Annals of Internal Medicine
Annals for Hospitalists Inpatient Notes - Predicting Codes-A Future With Fewer In-Hospital Cardiac Arrests
Ann Intern Med. 2017;166(10):HO2-HO3.
2017
American Journal of Respiratory and Critical Care Medicine
Quick sepsis-related organ failure assessment, systemic inflammatory response syndrome, and early warning scores for detecting clinical deterioration in infected patients outside the intensive care unit
Am J Respir Crit Care Med. 2017;195(7):906-911.
2017
Chest
Identifying Patients With Sepsis on the Hospital Wards
Chest. 2017;151(4):898-907.
2017
Critical Care Medicine
Moving Beyond Single-Parameter Early Warning Scores for Rapid Response System Activation
Crit Care Med. 2016;44(12):2283-2285.
2016
Clinical Journal of the American Society of Nephrology
Development of a Multicenter Ward-Based AKI Prediction Model
Clin J Am Soc Nephrol. 2016;11(11):1935-1943.
2016
Critical Care Medicine
Real-Time Risk Prediction on the Wards: A Feasibility Study.
Crit Care Med. 2016;44(8):1468-1473.
2016
Journal of Hospital Medicine
Association between intensive care unit transfer delay and hospital mortality: A multicenter investigation
J Hosp Med. 2016;11(11):757-762.
2016
Resuscitation
The value of vital sign trends for detecting clinical deterioration on the wards
Resuscitation. 2016;102:1-5.
2016
Critical Care Medicine
Multicenter comparison of machine learning methods and conventional regression for predicting clinical deterioration on the wards
Crit Care Med. 2016;44(2):368-374.
2016
Journal of Hospital Medicine
In reference to "Development, implementation, and impact of an automated early warning and response system for sepsis"
J Hosp Med. 2015;10(5):340.
2015
JAMA Internal Medicine
The value of clinical judgment in the detection of clinical deterioration
JAMA Intern Med. 2015;175(3):456–458.
2015
American Journal of Respiratory and Critical Care Medicine
Multicenter development and validation of a risk stratification tool for ward patients
Am J Respir Crit Care Med. 2014;190(6):649-655.
2014
Critical Care Medicine
Using electronic health record data to develop and validate a prediction model for adverse outcomes in the wards
Crit Care Med. 2014;42(4):841-848.
2014
JAMA Internal Medicine
Acutely ill patients will likely benefit from more monitoring, not less--reply
JAMA Intern Med. 2014;174(3):475-476.
2014
JAMA Internal Medicine
A prospective study of nighttime vital sign monitoring frequency and risk of clinical deterioration
JAMA Intern Med. 2013;173(16):1554-1555.
2013
Chest
Risk stratification of hospitalized patients on the wards.
Chest. 2013;143(6):1758-1765.
2013
Journal of General Internal Medicine
Supplementing cross-cover communication with the patient acuity rating
J Gen Intern Med. 2013;28(3):406-411.
2012
Resuscitation
Predicting clinical deterioration in the hospital: the impact of outcome selection
Resuscitation. 2013;84(5):564-568.
2012
Critical Care Medicine
Derivation of a cardiac arrest prediction model using ward vital signs
Crit Care Med. 2012;40(7):2102-2108.
2012
Chest
Predicting cardiac arrest on the wards: a nested case-control study
Chest. 2012;141(5):1170-1176.
2012
Journal of Hospital Medicine
The Patient Acuity Rating: Quantifying clinical judgment regarding inpatient stability
J Hosp Med. 2011; 6(8):480-8.
2011
Please contact us for any publication inquiries
Contact Us
This is some text inside of a div block.