eCART™

Churpek MM, et al. Multicenter Development and Prospective Validation of eCARTv5: A Gradient Boosted Machine Learning Early Warning Score. medRxiv. 2024.

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.

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.

Churpek MM, Edelson DP. Scratching the Surface of Clinical Deterioration With Deep Learning. Crit Care Med. 2021;49(8):1366-1368.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Bhattacharjee P, Edelson DP, Churpek MM. Identifying Patients With Sepsis on the Hospital Wards. Chest. 2017;151(4):898-907.

Churpek MM, Edelson DP. Moving Beyond Single-Parameter Early Warning Scores for Rapid Response System Activation. Crit Care Med. 2016;44(12):2283-2285.

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.

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.

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.

Churpek MM, Adhikari R, Edelson DP. The value of vital sign trends for detecting clinical deterioration on the wards. Resuscitation. 2016;102:1-5.

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.

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.

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.

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.

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.

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.

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.

Churpek MM, Yuen TC, Edelson DP. Risk stratification of hospitalized patients on the wards. Chest. 2013;143(6):1758-1765.

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.

Churpek MM, Yuen TC, Edelson DP. Predicting clinical deterioration in the hospital: the impact of outcome selection. Resuscitation. 2013;84(5):564-568.

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.

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.

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.