Agent-based Modeling and Simulation to Adoption Process of Information Technologies in Health Systems
Authored by M Pardo, W Farinas
Date Published: 2016
Sponsors:
No sponsors listed
Platforms:
NetLogo
Model Documentation:
Other Narrative
Flow charts
Mathematical description
Model Code URLs:
Model code not found
Abstract
The adoption and implementation process of information and communication
technologies in health systems are highly complex and even today there
is no guarantee of success; There are multiple determinants, along with
their interrelationships and environment that influence this process.
The objective of this paper is the presentation of modeling and
simulation based on agents to adoption process of information technology
in health systems. The study is based on a conceptual model based on the
theory of complex adaptive systems, and empirical studies of the
critical factors in the adoption process, then used the tool of
agent-based modeling for the computer simulation in Netlogo 5.1.0. As a
result, we have characterized and programmed three types of agents:
technological, organizational, and human, as well as their interactions
and environment. The simulation model allowed us to observe the
predictive system response as a measure of success or failure in
adoption, to possible variations in the initial conditions of the agents
and the environment. The presented model is an excellent tool for the
analysis of the interrelationships between the multiple stakeholders
involved in the success or failure of the adoption of health information
technology.
Tags
Success
Mclean model
Delone