Daniel Ehrmann MD, MS

Daniel E. Ehrmann
Assistant Professor of Pediatrics
Medical School
[email protected]
Available to mentor
Daniel Ehrmann MD, MS
Daniel E. Ehrmann
Assistant Professor
  • Qualifications
  • Center Memberships
  • Research Overview
  • Recent Publications
  • Manage Your Profile

  • Qualifications

    • Pediatric Critical Care - Fellowship
      Hospital for Sick Children, Toronto, Canada
      2020 - 2022
      Postdoctoral Fellowship
    • Pediatric Cardiology - Fellowship
      University of Colorado School of Medicine/Children’s Hospital Colorado, United States
      2017 - 2020
      Postdoctoral Fellowship
    • Internship and Residency
      University of Colorado School of Medicine/Children’s Hospital Colorado, General Pediatrics, Aurora, United States
      2014 - 2017
    • Doctor of Medicine (MD)
      University of Michigan Medical School, Ann Arbor, United States
      2009 - 2014
    • Master of Science in Clinical Research (MSCR)
      University of Michigan School of Public Health, Ann Arbor, United States
      2012 - 2013
    • Bachelor of Science - Psychology Major/Science, Technology, and Society Minor
      University of Michigan Medical School, Ann Arbor, United States
      2005 - 2009

    Center Memberships

    • Center Member
      Samuel and Jean Frankel Cardiovascular Center
    • Center Member
      Weil Institute for Critical Care Research
    • Center Member
      e-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

    See All Publications
    • Journal Article
      26-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
      Smith C, Owens A, Dantzer A, Ehrmann D, Assadi A, Mazwi M. Journal of the American College of Cardiology, 2026 Mar 30; 87 (13): a1212 DOI:10.1016/j.jacc.2026.02.2980
    • Journal Article
      A Novel, Interpretable Machine Learning Model Predicts Furosemide Dosing after Congenital Cardiac Surgery.
      Ehrmann DE, Hodgman M, Wittrup E, Charpie J, Owens G, Aiyagari R, Najarian K. 2026 Apr 23;
    • Journal Article
      A Novel, Interpretable Machine Learning Model Predicts Furosemide Dosing after Congenital Cardiac Surgery.
      Ehrmann DE, Hodgman M, Wittrup E, Charpie J, Owens G, Aiyagari R, Najarian K. 2026 Apr 23;
    • Presentation
      Bedside Decision-Making in 2026: Is Artificial Intelligence (AI) Good Enough for Congenital Heart Patients?
      2026 Apr 20;
    • Journal Article
      Clinician Performance in Training Data Curation for an Arrhythmia Machine Learning Model: Is Anyone Qualified?
      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; DOI:10.1016/j.cjcpc.2026.03.003
    • Journal Article
      Clinician Performance in Training Data Curation for an Arrhythmia Machine Learning Model: Is Anyone Qualified?
      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; DOI:10.1016/j.cjcpc.2026.03.003
    • Proceeding / Abstract / Poster
      Nursing Cognitive Load in Pediatric Cardiac Critical Care: Using Human-supervised LLM-Assisted Reflexive Thematic Analysis to Generate Actionable Insights from Multicenter Qualitative Data.
      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 / Poster
      Nursing Cognitive Load in Pediatric Cardiac Critical Care: Using Human-supervised LLM-Assisted Reflexive Thematic Analysis to Generate Actionable Insights from Multicenter Qualitative Data.
      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;