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Related Experiment Video

Updated: Nov 11, 2025

Anatomically Realistic Neonatal Heart Model for Use in Neonatal Patient Simulators
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Neonatal Hydrops Simulation Model: A Technical Report.

Jillian Connors1, Orna Rosen1

  • 1Division of Neonatology, The Children's Hospital at Montefiore, Bronx, USA.

Cureus
|March 31, 2021
PubMed
Summary

A novel, reusable model of a newborn with hydrops fetalis (HF) was developed. This authentic simulation tool allows neonatal intensive care providers to practice rare, life-saving procedures for improved patient outcomes.

Keywords:
abdominal paracentesishydrops fetalisneonatal resuscitationthoracocentesis

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Area of Science:

  • Medical Simulation
  • Neonatal Care
  • Pediatric Surgery

Background:

  • Hydrops fetalis (HF) is a severe condition requiring specialized neonatal resuscitation.
  • Training for rare, high-stakes neonatal procedures is challenging due to limited opportunities.
  • Existing simulation models may lack authenticity or reusability for comprehensive training.

Purpose of the Study:

  • To describe the development of an authentic and reusable simulation model for hydrops fetalis.
  • To provide a training tool for neonatal intensive care providers to practice critical procedures.
  • To enhance preparedness for managing rare neonatal emergencies.

Main Methods:

  • Development of a realistic newborn model exhibiting hydrops fetalis.
  • Incorporation of features for ease of assembly and reusability.
  • Inclusion of learning objectives and a critical action checklist for structured simulation.

Main Results:

  • The created model is authentic, reusable, and easy to assemble.
  • The model facilitates practice of rare, life-saving procedures for neonatal care.
  • Simulation scenarios can be adapted for varying levels of complexity.

Conclusions:

  • This hydrops fetalis simulation model offers a valuable training resource for neonatal intensive care.
  • The model enhances provider skills in managing rare and critical neonatal conditions.
  • Simulation-based training with this model can improve patient outcomes in high-risk neonates.