Agent-based modeling and simulation software architecture for health care

Health Care (HC) organizational structure and related management policies are essential factors of HC system. They can be tested through simulations in order to improve HC performance. To simplify the design of these simulations we have proposed a modelling approach based on an additional structure. The modelling approach considers the complexity of the modelling process, where in the various models are developed. This approach is organized according to two main abstraction levels, a conceptual level and a simulation level. We developed a computer simulation environment of patient care trajectories using the agent in order to evaluate new approaches to increase hospital productivity and adapt hospital clinical practice conditions for the elderly and patients with multiple chronic diseases. For that, we have developed a multi-agent framework to simulate the activities and roles in a HC system. This framework can be used to assist the collaborative scheduling of complex tasks that involve multiple personals and resources. In addition, it can be used to study the efficiency of the HC system and the influence of different policies.