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Interactive simulator for e-Learning environments: a teaching software for health care professionals.

Claudio De Lazzari1, Igino Genuini, Domenico M Pisanelli

  • 1CNR, Institute of Clinical Physiology, UOS of Rome, Via S,M, della Battaglia, 44, 00185 Rome, Italy. claudio.delazzari@ifc.cnr.it.

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This summary is machine-generated.

This study introduces an e-Learning tool for healthcare professionals to understand heart-lung interactions using a cardiovascular simulator. The simulator effectively demonstrated the impact of thoracic artificial lung (TAL) assistance on patient hemodynamics.

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Area of Science:

  • Medical Simulation
  • Cardiopulmonary Physiology
  • e-Learning in Healthcare

Background:

  • Cardiovascular simulation tools are established, but their use in e-Learning is novel.
  • Understanding heart-lung interactions is crucial for managing patients with severe respiratory issues or heart failure in intensive care.
  • Mechanical ventilatory assistance and thoracic artificial lung (TAL) are key interventions.

Purpose of the Study:

  • To present an e-Learning environment for teaching cardiovascular and lung system interactions.
  • To evaluate the use of a numerical cardiovascular simulator (CARDIOSIM©) in a training course.
  • To model and analyze the effects of a thoracic artificial lung (TAL) on cardiovascular parameters.

Main Methods:

  • An e-Learning environment was developed integrating a cardiovascular simulator.
  • A numerical model of a thoracic artificial lung (TAL) was implemented.
  • The TAL model was applied in parallel and hybrid configurations during a training course for cardiology graduate students.
  • CARDIOSIM© was used to simulate patient pathophysiological conditions.

Main Results:

  • Thoracic artificial lung (TAL) parallel assistance decreased right ventricular volume but increased left ventricular volume.
  • Hybrid TAL assistance resulted in smaller percentage changes in hemodynamic variables compared to parallel assistance.
  • Hybrid TAL assistance showed a greater reduction (approx. 40%) in mean pulmonary arterial pressure than parallel assistance (20-30%).

Conclusions:

  • The e-Learning environment and CARDIOSIM© simulator were effective for training healthcare professionals on heart-lung interactions.
  • Student feedback was positive, indicating good learning outcomes and ease of software use.
  • The study demonstrated the utility of in silico modeling for understanding the hemodynamic effects of thoracic artificial lung support.