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Academic Medicine : Journal of the Association of American Medical Colleges|September 28, 2013
Overwhelmed and uninspired by lack of coordinated care: a call to action for new physiciansDaniel E Ehrmann
NPJ Digital Medicine|January 23, 2023
Making machine learning matter to clinicians: model actionability in medical decision-makingDaniel E Ehrmann, Shalmali Joshi, Sebastian D Goodfellow, et al.
Childhood Obesity (Print)|May 3, 2013
Slow and steady: readiness, pretreatment weekly strengthening activity, and pediatric weight management program completionDaniel E Ehrmann, Bethany J Sallinen, Heidi B IglayReger, et al.
Pediatric Cardiology|May 7, 2026
A Novel, Interpretable Machine Learning Model Predicts Furosemide Dosing After Congenital Cardiac SurgeryDaniel E Ehrmann, Matthew W Hodgman, Emily M Wittrup, et al.
Critical Care Explorations|October 6, 2025
Cognitive Load in Pediatric Critical Care Medicine: Tsunamis and a Thousand CutsDaniel E Ehrmann, Sara N Gallant, Sunkyung Yu, et al.
Pediatric Quality & Safety|September 20, 2018
Noncompliance to a Postoperative Algorithm Using Feeding Readiness Assessments Prolonged Length of Stay at a Pediatric Heart InstituteDaniel E Ehrmann, Shaunda Harendt, Jessica Church, et al.
The Journal of Pediatrics|September 25, 2018
Echocardiographic Measurements of Right Ventricular Mechanics in Infants with Bronchopulmonary Dysplasia at 36 Weeks Postmenstrual AgeDaniel E Ehrmann, Peter M Mourani, Steven H Abman, et al.
World Journal for Pediatric & Congenital Heart Surgery|March 8, 2021
Lessons Learned From the First Pilot Study of the Compensatory Reserve Index After Congenital Heart Surgery Requiring Cardiopulmonary BypassDaniel E Ehrmann, David K Leopold, Kristen Campbell, et al.
Congenital Heart Disease|November 18, 2017
Toward standardization of care: The feeding readiness assessment after congenital cardiac surgeryDaniel E Ehrmann, Matthew Mulvahill, Shaunda Harendt, et al.
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