Use of an Agent-Based Model to Understand Clinical Systems
نویسندگان
چکیده
Health care improvement efforts often focus on changing the behavior of individuals while the interdependencies among individuals are overlooked. The application of complex adaptive systems approach to studying healthcare delivery changes the focus of improvement efforts from the individual to the relationships and interdependencies among individuals in the system. Sensemaking and improvising are social activities that take place in the context of relationships between individuals. We explore the impact of sensemaking and improvising on patient outcomes in healthcare settings. We conducted an in-depth observational study of relationships in inpatient general medicine teams. Data collection focused on examining associations between team relationship behaviors of sensemaking and improvising and patient outcomes. Data analysis revealed that these activities were positively associated with patient outcomes. Based on these observational data and findings, we developed an agent-based model to further explore and clarify the relationships between sensemaking and improvising on physician teams and patient outcomes. Specifically, we used the agent-based model to simulate the impact of variation in physicians' sensemaking and improvisation abilities on patient length of stay, the likelihood of a patient worsening or developing complications, the need for transfer to a higher level of care, and mortality. Our in-depth study indicates that systematic differences in patient outcomes are associated with differences in the capacity of physician teams to effectively make sense and improvise in the dynamic conditions inherent in healthcare systems. The results of our simulation demonstrate that an agent-based modeling approach is feasible and useful for exploring the impact of physician team behaviors on patient outcomes. This finding suggests the need for new tools and approaches to improve sensemaking and improvisation in physician care teams as strategies to improve patient outcomes.
منابع مشابه
A review of agent-based modeling (ABM) concepts and some of its main applications in management science
We live in a very complex world where we face complex phenomena such as social norms and new technologies. To deal with such phenomena, social scientists often use reductionism approach where they reduce them to some lower-lever variables and model the relationships among them through a scheme of equations. This approach that is called equation based modeling (EBM) has some basic weaknesses in ...
متن کاملMethod integration: An approach to develop agent oriented methodologies
Agent oriented software engineering (AOSE) is an emerging field in computer science and proposes some systematic ideas for multi agent systems analysis, implementation and maintenance. Despite the various methodologies introduced in the agent-oriented software engineering, the main challenges are defects in different aspects of methodologies. According to the defects resulted from weaknesses ...
متن کاملA Context-aware Architecture for Mental Model Sharing through Semantic Movement in Intelligent Agents
Recent studies in multi-agent systems are paying increasingly more attention to the paradigm of designing intelligent agents with human inspired concepts. One of the main cognitive concepts driving the core of many recent approaches in multi agent systems is shared mental models. In this paper, we propose an architecture for sharing mental models based on a new concept called semantic movement....
متن کاملOn the use of multi-agent systems for the monitoring of industrial systems
The objective of the current paper is to present an intelligent system for complex process monitoring, based on artificial intelligence technologies. This system aims to realize with success all the complex process monitoring tasks that are: detection, diagnosis, identification and reconfiguration. For this purpose, the development of a multi-agent system that combines multiple intelligences su...
متن کاملAn Analysis to Wealth Distribution Based on Sugarscape Model in an Artificial Society
In this paper an artificial society is being assumed as a multi agents system. A sugarscape model consisting of a cellular landscape of resources is used to form an interaction among the agents of the population. In the model, agents find the resources to survive. They are supposed to move and search and because of this movement, an evolutionary social behavior will develope. From model analys...
متن کاملAn Agent- based Modeling for Breast Tissue Simulation and the Growth and Spread of Tumor in Various Breast Cancer States
Introduction: Breast cancer is a cancer that is caused by abnormal growth of breast cells. Modeling and simulation of the growth and treatment of breast cancer, along with providing the possibility of doing experiments and research, can reduce the time and cost of treatment by predicting some cases. The purpose of the present research was to develop an agent-based model for the simulation of b...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- J. Artificial Societies and Social Simulation
دوره 15 شماره
صفحات -
تاریخ انتشار 2012