The design of an agent based model of human activities and communications in cardiac resuscitation

TL;DR

This paper presents the initial design of an agent-based simulator for human activities and communication in cardiac resuscitation, aiming to improve training protocols through realistic communication modeling.

Contribution

It introduces a novel agent-based model framework for simulating communication and activities during cardiac resuscitation training sessions.

Findings

Analysis of real training communications using FIPA standards

Design of an initial agent-based simulation framework

Foundation for future simulation development

Abstract

Cardio-pulmonary arrest is a common emergency situation causing over 400,000 deaths per year, more than a 1000 per day, in the USA alone. The goal of this work is to develop an agent based computer simulator that will allow trainers to experiment with different communication protocols, such as those found in air traffic control. This paper describes the first step in designing the simulator development. The design is based on an analysis of communications during real life training simulations using the FIPA standard categories.