David O. Kessler, MD

Pediatric Emergency Medicine
Pediatrics
Accepting New Patients
Treats Children
Virtual Urgent Care
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Overview

Dr. David Kessler is an Associate Professor of Pediatrics (in Emergency Medicine) at the Columbia University Medical Center. Dr. Kessler is a board-certified pediatric emergency medicine physician and an expert in emergency ultrasound who has been practicing in New York City for over 20 years. Dr. Kessler is an internationally recognized leader in healthcare simulation training, research, and innovation.

Academic Appointments

  • Professor of Pediatrics (in Emergency Medicine) at CUMC

Hospital Affiliations

  • NewYork-Presbyterian Morgan Stanley Children's Hospital
  • NewYork-Presbyterian / Columbia University Irving Medical Center

Gender

  • Male

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Virtual Urgent Care

Online urgent care visits with board-certified emergency medicine physicians.

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Insurance Accepted

Cigna

  • EPO
  • Great West (National)
  • HMO
  • POS
  • PPO

Emblem/GHI

  • Medicare Managed Care
  • PPO

Emblem/HIP

  • ConnectiCare
  • EPO
  • Essential Plan
  • HMO
  • Medicaid Managed Care
  • Medicare Managed Care
  • POS
  • PPO
  • Select Care (Exchange)
  • Vytra

Local 1199

  • Local 1199

MagnaCare (National)

  • MagnaCare

Medicare

  • Railroad
  • Traditional Medicare

Multiplan

  • Multiplan

UnitedHealthcare

  • Columbia University Employee Plan
  • Compass (Exchange)
  • Empire Plan
  • HMO
  • Medicare Managed Care
  • POS
  • PPO

*Please contact the provider’s office directly to verify that your particular insurance is accepted.

Credentials & Experience

Education & Training

  • MD, 2004 Mount Sinai School of Medicine
  • Residency: Mount Sinai Medical Center
  • Fellowship: Bellevue Hospital Center

Board Certifications

  • Pediatric Emergency Medicine
  • Pediatrics

Research

EVER TRIED. EVER FAILED. NO MATTER. TRY AGAIN. FAIL AGAIN. FAIL BETTER. -SAMUEL BECKETT

Research Interests

  • Leveraging novel technology to improve education and care (Virtual Reality, Natural Language Proc
  • Novel point-of-care ultrasound uses (Artificial Intelligence / Machine Learning)
  • Simulation-based systems improvement and change management