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eCART

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American Journal of Respiratory and Critical Care Medicine
UChicago Medicine
Multicenter development and validation of a risk stratification tool for ward patients
Churpek MM, Yuen TC, Winslow C, et al. Multicenter development and validation of a risk stratification tool for ward patients. Am J Respir Crit Care Med. 2014;190(6):649-655.
Resuscitation
UChicago Medicine
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.
Green M, Lander H, Snyder A, et al. 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.
Annals of Surgery
UChicago Medicine
Validating the Electronic Cardiac Arrest Risk Triage (eCART) Score for Risk Stratification of Surgical Inpatients in the Postoperative Setting: Retrospective Cohort Study.
Bartkowiak B, Snyder AM, Benjamin A, et al. Validating the Electronic Cardiac Arrest Risk Triage (eCART) Score for Risk Stratification of Surgical Inpatients in the Postoperative Setting: Retrospective Cohort Study. Ann Surg. 2019;269(6):1059-1063.
Journal of Hospital Medicine
UChicago Medicine
Association between intensive care unit transfer delay and hospital mortality: A multicenter investigation.
Churpek MM, Wendlandt B, Zadravecz FJ, Adhikari R, Winslow C, Edelson DP. Association between intensive care unit transfer delay and hospital mortality: A multicenter investigation. J Hosp Med. 2016;11(11):757-762.
Critical Care Medicine
Endeavor Health
The Impact of a Machine Learning Early Warning Score on Hospital Mortality: A Multicenter Clinical Intervention Trial
Winslow CJ, Edelson DP, Churpek MM, et al. The Impact of a Machine Learning Early Warning Score on Hospital Mortality: A Multicenter Clinical Intervention Trial [published online ahead of print, 2022 Apr 22]. Crit Care Med. 2022;10.1097
Critical Care Medicine
UChicago Medicine
Investigating the Impact of Different Suspicion of Infection Criteria on the Accuracy of Quick Sepsis-Related Organ Failure Assessment, Systemic Inflammatory Response Syndrome, and Early Warning Scores.
Churpek MM, Snyder A, Sokol S, Pettit NN, Edelson DP. Investigating the Impact of Different Suspicion of Infection Criteria on the Accuracy of Quick Sepsis-Related Organ Failure Assessment, Systemic Inflammatory Response Syndrome, and Early Warning Scores. Crit Care Med. 2017;45(11):1805-1812.
Critical Care Medicine
UChicago Medicine
Multicenter comparison of machine learning methods and conventional regression for predicting clinical deterioration on the wards
Churpek MM, Yuen TC, Winslow C, Meltzer DO, Kattan MW, Edelson DP. Multicenter Comparison of Machine Learning Methods and Conventional Regression for Predicting Clinical Deterioration on the Wards. Crit Care Med. 2016;44(2):368-374.
Resuscitation
UChicago Medicine
A novel structured debriefing program for consensus determinations of in-hospital cardiac arrest predictability and preventability
Lyons PG, Reid J, Richardville S, Edelson DP. A novel structured debriefing program for consensus determinations of in-hospital cardiac arrest predictability and preventability. Resuscitation. 2024;197:110161.

Additional

Clinical Journal of the American Society of Nephrology
UChicago Medicine
Development of a Multicenter Ward-Based AKI Prediction Model.
Koyner JL, Adhikari R, Edelson DP, Churpek MM. Development of a Multicenter Ward-Based AKI Prediction Model. Clin J Am Soc Nephrol. 2016;11(11):1935-1943.
Critical Care Medicine
UChicago Medicine
Scratching the Surface of Clinical Deterioration With Deep Learning.
Churpek MM, Edelson DP. Scratching the Surface of Clinical Deterioration With Deep Learning. Crit Care Med. 2021;49(8):1366-1368.
Critical Care Medicine
UChicago Medicine
Using electronic health record data to develop and validate a prediction model for adverse outcomes in the wards*.
Churpek MM, Yuen TC, Park SY, Gibbons R, Edelson DP. 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.
Critical Care Medicine
UChicago Medicine
Moving Beyond Single-Parameter Early Warning Scores for Rapid Response System Activation.
Churpek MM, Edelson DP. Moving Beyond Single-Parameter Early Warning Scores for Rapid Response System Activation. Crit Care Med. 2016;44(12):2283-2285.
Annals of Internal Medicine
UChicago Medicine
Annals for Hospitalists Inpatient Notes - Predicting Codes-A Future With Fewer In-Hospital Cardiac Arrests.
Edelson DP, Churpek MM. Web Exclusives. Annals for Hospitalists Inpatient Notes - Predicting Codes-A Future With Fewer In-Hospital Cardiac Arrests. Ann Intern Med. 2017;166(10):HO2-HO3.
Resuscitation
UChicago Medicine
The value of vital sign trends for detecting clinical deterioration on the wards.
Churpek MM, Adhikari R, Edelson DP. The value of vital sign trends for detecting clinical deterioration on the wards. Resuscitation. 2016;102:1-5.
Chest
UChicago Medicine
Identifying Patients With Sepsis on the Hospital Wards
Bhattacharjee P, Edelson DP, Churpek MM. Identifying Patients With Sepsis on the Hospital Wards. Chest. 2017;151(4):898-907.
Journal of Hospital Medicine
UChicago Medicine
Association Between Opioid and Benzodiazepine Use and Clinical Deterioration in Ward Patients.
Lyons PG, Snyder A, Sokol S, Edelson DP, Mokhlesi B, Churpek MM. Association Between Opioid and Benzodiazepine Use and Clinical Deterioration in Ward Patients. J Hosp Med. 2017;12(6):428-434.
Critical Care Medicine
UChicago 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.
Shappell C, Snyder A, Edelson DP, Churpek MM; 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.
Annals of the American Thoracic Society
UChicago Medicine
Predicting Intensive Care Unit Readmission with Machine Learning Using Electronic Health Record Data
Rojas JC, Carey KA, Edelson DP, Venable LR, Howell MD, Churpek MM. Predicting Intensive Care Unit Readmission with Machine Learning Using Electronic Health Record Data. Ann Am Thorac Soc. 2018;15(7):846-853.
Journal of Hospital Medicine
UChicago Medicine
Accuracy Comparisons between Manual and Automated Respiratory Rate for Detecting Clinical Deterioration in Ward Patients.
Churpek MM, Snyder A, Twu NM, Edelson DP. Accuracy Comparisons between Manual and Automated Respiratory Rate for Detecting Clinical Deterioration in Ward Patients. J Hosp Med. 2018;13(7):486-487.
JAMA Network Open
UChicago Medicine
Internal and External Validation of a Machine Learning Risk Score for Acute Kidney Injury.
Churpek MM, Carey KA, Edelson DP, et al. Internal and External Validation of a Machine Learning Risk Score for Acute Kidney Injury. JAMA Netw Open. 2020;3(8):e2012892.
Critical Care Medicine
UChicago Medicine
Determining the Electronic Signature of Infection in Electronic Health Record Data.
Churpek MM, Dumanian J, Dussault N, et al. Determining the Electronic Signature of Infection in Electronic Health Record Data. Crit Care Med. 2021;49(7):e673-e682.
Critical Care Medicine
UChicago Medicine
Derivation of a cardiac arrest prediction model using ward vital signs*
Churpek MM, Yuen TC, Park SY, Meltzer DO, Hall JB, Edelson DP. Derivation of a cardiac arrest prediction model using ward vital signs*. Crit Care Med. 2012;40(7):2102-2108.
Chest
UChicago Medicine
Risk stratification of hospitalized patients on the wards.
Churpek MM, Yuen TC, Edelson DP. Risk stratification of hospitalized patients on the wards. Chest. 2013;143(6):1758-1765.
American Journal of Respiratory and Critical Care Medicine
UChicago 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.
Churpek MM, Snyder A, Han X, et al. 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.
Resuscitation
UChicago Medicine
Predicting clinical deterioration in the hospital: the impact of outcome selection. Resuscitation.
Churpek MM, Yuen TC, Edelson DP. Predicting clinical deterioration in the hospital: the impact of outcome selection. Resuscitation. 2013;84(5):564-568.
JAMA Internal Medicine
UChicago Medicine
Acutely ill patients will likely benefit from more monitoring, not less--reply.
Yoder JC, Arora VM, Edelson DP. Acutely ill patients will likely benefit from more monitoring, not less--reply. JAMA Intern Med. 2014;174(3):475-476.
Chest
UChicago Medicine
Predicting cardiac arrest on the wards: a nested case-control study
Churpek MM, Yuen TC, Huber MT, Park SY, Hall JB, Edelson DP. Predicting cardiac arrest on the wards: a nested case-control study. Chest. 2012;141(5):1170-1176.
JAMA Internal Medicine
UChicago Medicine
A prospective study of nighttime vital sign monitoring frequency and risk of clinical deterioration
Yoder JC, Yuen TC, Churpek MM, Arora VM, Edelson DP. A prospective study of nighttime vital sign monitoring frequency and risk of clinical deterioration. JAMA Intern Med. 2013;173(16):1554-1555.
Journal of Hospital Medicine
UChicago Medicine
In reference to "Development, implementation, and impact of an automated early warning and response system for sepsis"
Bhattacharjee P, Edelson DP. In reference to "Development, implementation, and impact of an automated early warning and response system for sepsis". J Hosp Med. 2015;10(5):340.
Annals of the American Thoracic Society
UChicago Medicine
Accuracy of Clinicians' Ability to Predict the Need for Intensive Care Unit Readmission.
Rojas JC, Lyons PG, Jiang T, et al. Accuracy of Clinicians' Ability to Predict the Need for Intensive Care Unit Readmission. Ann Am Thorac Soc. 2020;17(7):847-853.
Journal of General Internal Medicine
UChicago Medicine
Supplementing cross-cover communication with the patient acuity rating.
Phillips AW, Yuen TC, Retzer E, Woodruff J, Arora V, Edelson DP. Supplementing cross-cover communication with the patient acuity rating. J Gen Intern Med. 2013;28(3):406-411.
JAMA Internal Medicine
UChicago Medicine
The value of clinical judgment in the detection of clinical deterioration.
Patel AR, Zadravecz FJ, Young RS, Williams MV, Churpek MM, Edelson DP. The Value of Clinical Judgment in the Detection of Clinical Deterioration. JAMA Intern Med. 2015;175(3):456–458.
Journal of Hospital Medicine
UChicago Medicine
The Patient Acuity Rating: Quantifying clinical judgment regarding inpatient stability.
Edelson DP, Retzer E, Weidman EK, Woodruff J, Davis AM, Minsky BD, Meadow W, Vanden Hoek TL, Meltzer DO. The Patient Acuity Rating: Quantifying clinical judgment regarding inpatient stability. J Hosp Med. 2011; 6(8):480-8.
Resuscitation
UChicago Medicine
Predicting clinical deterioration with Q-ADDS compared to NEWS, Between the Flags, and eCART track and trigger tools. Resuscitation.
Campbell V, Conway R, Carey K, et al. Predicting clinical deterioration with Q-ADDS compared to NEWS, Between the Flags, and eCART track and trigger tools. Resuscitation. 2020;153:28-34.
Critical Care Medicine
UChicago Medicine
Real-Time Risk Prediction on the Wards: A Feasibility Study.
Kang MA, Churpek MM, Zadravecz FJ, Adhikari R, Twu NM, Edelson DP. Real-Time Risk Prediction on the Wards: A Feasibility Study. Crit Care Med. 2016;44(8):1468-1473.
Chest
UChicago Medicine
Implications of Centers for Medicare & Medicaid Services Severe Sepsis and Septic Shock Early Management Bundle and Initial Lactate Measurement on the Management of Sepsis
Han X, Edelson DP, Snyder A, et al. 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.
Catheterization and Cardiovascular Interventions
UChicago Medicine
Electronic cardiac arrest triage score best predicts mortality after intervention in patients with massive and submassive pulmonary embolism.
Hirai T, Tate S, Dryer K, et al. 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.
Critical Care Medicine
UChicago Medicine
Validation of Early Warning Scores at Two Long-Term Acute Care Hospitals
Churpek MM, Carey KA, Dela Merced N, Prister J, Brofman J, Edelson DP. Validation of Early Warning Scores at Two Long-Term Acute Care Hospitals. Crit Care Med. 2019;47(12):e962-e965.
Critical Care Medicine
UChicago Medicine
Using electronic health record data to develop and validate a prediction model for adverse outcomes in the wards
Churpek MM, Yuen TC, Park SY, Gibbons R, Edelson DP. 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.
JAMA Network Open
Endeavor Health
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
Liu VX, Lu Y, Carey KA, et al. 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.
Prehospital and Disaster Medicine
UChicago Medicine
Use of Clinical Algorithms for Evaluation and Management of Pediatric and Adult Sepsis Patients in Low-Resource Clinical Environments.
Dymond, C., Hill, K., McCullough, C., Dixon, J., & Calvello-Hynes, E. (2019). Use of Clinical Algorithms for Evaluation and Management of Pediatric and Adult Sepsis Patients in Low-Resource Clinical Environments. Prehospital and Disaster Medicine, 34(S1), S175-S175.
BMC Pregnancy Childbirth
UChicago Medicine
Comparison of early warning scores for predicting clinical deterioration and infection in obstetric patients
Arnolds DE, Carey KA, Braginsky L, et al. Comparison of early warning scores for predicting clinical deterioration and infection in obstetric patients. BMC Pregnancy Childbirth. 2022;22(1):295.
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