Dana Edelson to Electronic Health Records
This is a "connection" page, showing publications Dana Edelson has written about Electronic Health Records.
Connection Strength
3.143
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Determining the Electronic Signature of Infection in Electronic Health Record Data. Crit Care Med. 2021 07 01; 49(7):e673-e682.
Score: 0.625
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'Who's Covering This Patient?' Developing a First-Contact Provider (FCP) Designation in an Electronic Health Record. Jt Comm J Qual Patient Saf. 2018 02; 44(2):107-113.
Score: 0.490
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Real-Time Risk Prediction on the Wards: A Feasibility Study. Crit Care Med. 2016 08; 44(8):1468-73.
Score: 0.444
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Multicenter development and validation of a risk stratification tool for ward patients. Am J Respir Crit Care Med. 2014 Sep 15; 190(6):649-55.
Score: 0.390
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Using electronic health record data to develop and validate a prediction model for adverse outcomes in the wards*. Crit Care Med. 2014 Apr; 42(4):841-8.
Score: 0.378
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Development and External Validation of a Machine Learning Model for Prediction of Potential Transfer to the PICU. Pediatr Crit Care Med. 2022 07 01; 23(7):514-523.
Score: 0.165
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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 06; 269(6):1059-1063.
Score: 0.135
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Predicting Intensive Care Unit Readmission with Machine Learning Using Electronic Health Record Data. Ann Am Thorac Soc. 2018 07; 15(7):846-853.
Score: 0.127
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Accuracy Comparisons between Manual and Automated Respiratory Rate for Detecting Clinical Deterioration in Ward Patients. J Hosp Med. 2018 07 01; 13(7):486-487.
Score: 0.123
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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 02; 123:86-91.
Score: 0.122
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Development of a Multicenter Ward-Based AKI Prediction Model. Clin J Am Soc Nephrol. 2016 11 07; 11(11):1935-1943.
Score: 0.112
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The Development of a Machine Learning Inpatient Acute Kidney Injury Prediction Model. Crit Care Med. 2018 07; 46(7):1070-1077.
Score: 0.032