Daniel Eli Ehrmann, MD

Daniel Eli Ehrmann, MD

Specialty: Pediatric Cardiology
Title: Assistant Professor

To request an appointment call

734-764-5176
Daniel Eli Ehrmann, MD
Pediatric Cardiology
  • About
  • Areas of Practice
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  • About

    Dr. Ehrmann is a physician-scientist whose mission is to deliver excellent clinical care and become a clinical leader in building human + machine collaborative intelligence at the bedside of critically ill patients with congenital and acquired heart disease. Collaborative intelligence is a problem-solving system designed to optimize patient outcomes by effectively integrating novel technologies with the humanness of care delivery and clinical decision-making. He believes that research must provide value to all stakeholders by optimizing processes and outcomes while minimizing costs and wasted effort.

    Areas of Practice

    Cardiac Intensive Care

    Locations

    • U of M Pediatric Cardiology 1500 E Medical Center Dr
      Ann Arbor, MI 48109-5000

    Insurance Accepted

    University of Michigan Health participates with most health insurance plans.

    See our insurance details

    Education & Training

    Medical School or Training

    University of Michigan Medical School, 2014

    Residency

    University of Colorado, Pediatrics, 2017

    Fellowships

    The Hospital for Sick Children, Critical Care Medicine, 2022
    University of Colorado, Pediatric Cardiology, 2020

    Board Certifications

    Pediatric Cardiology
    Pediatric Critical Care Medicine
    Pediatrics

    Professional Organizations

    American Board of Artificial Intelligence in Medicine
    University of Toronto Temerty Centre for Artificial Intelligence Research and Education in Medicine
    American Medical Informatics Association
    Pediatric Cardiac Intensive Care Society
    American Academy of Pediatrics
    Society for Critical Care Medicine

    Research Overview

    Dr. Ehrmann studies the intersection between advanced analytics (for example, artificial intelligence) and care delivery processes and outcomes. He has published several articles on this broad topic pertaining to pediatric critical care, including on machine learning education, machine learning-drive reduction of cognitive load, and novel visualization techniques for clinical decision support.

    Links

    Bibliography