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In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
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  11. Human, A Real-time Evolutive Patient Model For Major Incident Simulation: Development And Validation Study.
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  11. Human, A Real-time Evolutive Patient Model For Major Incident Simulation: Development And Validation Study.

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HUMAn, a Real-Time Evolutive Patient Model for Major Incident Simulation: Development and Validation Study.

Maxence Laurent1, Arnaud Jaccard2, Laurent Suppan3

  • 1Media Engineering Institute, School of Management and Engineering Vaud, University of Applied Sciences and Arts of Western Switzerland, Avenue des Sports 20, Yverdon, 1400, Switzerland, 41 244592638.

JMIR Formative Research
|March 7, 2025

View abstract on PubMed

Summary
This summary is machine-generated.

A new physiological model, HUMAn, simulates realistic patient evolution in major incidents. This tool enhances training by allowing dynamic patient responses during simulations, improving decision-making skills for emergency responders.

Keywords:
emergency medicinehealthcare professional educationmajor incident managementmathematical model

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Area of Science:

  • Medical Simulation
  • Physiological Modeling
  • Emergency Medicine Training

Background:

  • Major incidents require efficient management and specialized resources.
  • Current major incident simulations lack dynamic patient evolution, hindering critical decision-making practice.
  • Paramedic and EMT training necessitates realistic simulation scenarios.

Purpose of the Study:

  • To develop and validate a simplified physiological model for simulating real-time injury evolution.
  • To create a model capable of dynamic patient simulation for enhanced emergency response training.

Main Methods:

  • A user-centered design framework guided model development.
  • A multidisciplinary team (physicians, paramedics, computer scientists) developed the HUMAn model.
professional education
computer simulation
continuing education
mass casualties
physiological model
  • Clinical realism was validated by 15 prehospital professionals using a 5-point Likert scale.

    • Main Results:

    • The HUMAn model realistically simulates physiological changes and patient evolution.
    • Clinical parameters received a median rating of 5 (absolutely realistic), with 96% rated 4 or 5.
    • Physiological parameters achieved a median rating of 5, with 79% rated 5 and 17% rated 4.

    Conclusions:

    • A simplified, clinically realistic physiological model for trauma patient evolution was successfully developed.
    • The HUMAn model is suitable for integration into computer-based simulations for major incident management training.
    • Further randomized trials are recommended to assess the model's impact on teaching major incident management.