Daniel Ehrmann MD, MS
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Qualifications
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Pediatric Critical Care - FellowshipHospital for Sick Children, Toronto, Canada
2020 - 2022
Postdoctoral Fellowship
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Pediatric Cardiology - FellowshipUniversity of Colorado School of Medicine/Children’s Hospital Colorado, United States
2017 - 2020
Postdoctoral Fellowship
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Internship and ResidencyUniversity of Colorado School of Medicine/Children’s Hospital Colorado, General Pediatrics, Aurora, United States
2014 - 2017
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Doctor of Medicine (MD)University of Michigan Medical School, Ann Arbor, United States
2009 - 2014
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Master of Science in Clinical Research (MSCR)University of Michigan School of Public Health, Ann Arbor, United States
2012 - 2013
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Bachelor of Science - Psychology Major/Science, Technology, and Society MinorUniversity of Michigan Medical School, Ann Arbor, United States
2005 - 2009
Center Memberships
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Center MemberSamuel and Jean Frankel Cardiovascular Center
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Center MemberWeil Institute for Critical Care Research
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Center Membere-Health and Artificial Intelligence Initiative
Research Overview
My research focuses on the intersection between technology and humanity in the complex, dynamic clinical workflows. The primarily technological focus of my work is on artificial intelligence, and specifically explainable forms of neural networks and reinforcement learning that underpin clinical decision support and closed loop control systems. I leverage my expertise as a dual boarded pediatric cardiologist and intensivist to design systems capable of improving the efficiency, effectivness, safety, and precision of care processes in pediatric cardiac intensive care, while also focusing on the human elements required to make these systems successful at the bedside. These human factors include studying cognitive load and workflow optimization. Through parternship with a passionate, multidisciplinary team of collaborators, we hope to not only achieve academic success, but more importantly change the paradigm for pediatric critical care delivery through creativity, innovation, and industry partnership.
Recent Publications
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Smith C, Owens A, Dantzer A, Ehrmann D, Assadi A, Mazwi M. Journal of the American College of Cardiology, 2026 Mar 30; 87 (13): a1212Journal Article26-A-13856-ACC NURSING COGNITIVE LOAD IN PEDIATRIC CRITICAL CARE: USING HUMAN-SUPERVISED LLM-ASSISTED REFLEXIVE THEMATIC ANALYSIS TO GENERATE ACTIONABLE INSIGHTS FROM MULTICENTER QUALITATIVE DATA
DOI:10.1016/j.jacc.2026.02.2980 -
Ehrmann DE, Hodgman M, Wittrup E, Charpie J, Owens G, Aiyagari R, Najarian K. 2026 Apr 23;Journal ArticleA Novel, Interpretable Machine Learning Model Predicts Furosemide Dosing after Congenital Cardiac Surgery.
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Ehrmann DE, Hodgman M, Wittrup E, Charpie J, Owens G, Aiyagari R, Najarian K. 2026 Apr 23;Journal ArticleA Novel, Interpretable Machine Learning Model Predicts Furosemide Dosing after Congenital Cardiac Surgery.
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2026 Apr 20;PresentationBedside Decision-Making in 2026: Is Artificial Intelligence (AI) Good Enough for Congenital Heart Patients?
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Kim ME, Assadi A, Ehrmann D, Dixon W, Vecile S, Greer R, Goodfellow S, Bulic A. CJC Pediatric and Congenital Heart Disease, 2026 Mar 26;Journal ArticleClinician Performance in Training Data Curation for an Arrhythmia Machine Learning Model: Is Anyone Qualified?
DOI:10.1016/j.cjcpc.2026.03.003 -
Kim ME, Assadi A, Ehrmann D, Dixon W, Vecile S, Greer R, Goodfellow S, Bulic A. CJC Pediatric and Congenital Heart Disease, 2026 Mar 26;Journal ArticleClinician Performance in Training Data Curation for an Arrhythmia Machine Learning Model: Is Anyone Qualified?
DOI:10.1016/j.cjcpc.2026.03.003 -
Smith C, Owens A, Dantzer A, Knight-Heiss S, Gallant SN, Eytan D, Gilfoyle E, Assaidi A, Gray S, Zaulan O, Mazwi M, Ehrmann DE. 2026 Mar 4;Proceeding / Abstract / PosterNursing Cognitive Load in Pediatric Cardiac Critical Care: Using Human-supervised LLM-Assisted Reflexive Thematic Analysis to Generate Actionable Insights from Multicenter Qualitative Data.
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Smith C, Owens A, Dantzer A, Knight-Heiss S, Gallant SN, Eytan D, Gilfoyle E, Assaidi A, Gray S, Zaulan O, Mazwi M, Ehrmann DE. 2026 Mar 4;Proceeding / Abstract / PosterNursing Cognitive Load in Pediatric Cardiac Critical Care: Using Human-supervised LLM-Assisted Reflexive Thematic Analysis to Generate Actionable Insights from Multicenter Qualitative Data.