Search results
Results from the WOW.Com Content Network
The study of complex adaptive systems, a subset of nonlinear dynamical systems, [6] is an interdisciplinary matter that attempts to blend insights from the natural and social sciences to develop system-level models and insights that allow for heterogeneous agents, phase transition, and emergent behavior.
Group behavior can be broken down into 3 levels of analysis: the individual level (micro), the group level (meso) and the organizational or societal level (macro). Micro-Level: Individual Level Refers to the personal qualities and characteristics of individual group members, as well as their actions.
All events at the micro-, meso- and macro-levels of a dynamic system are directly visible at all stages of a white-box model's evolution. In most cases, mathematical modelers use the heavy black-box mathematical methods, which cannot produce mechanistic models of complex dynamic systems.
Healthcare systems are complex in that they are diverse in both structure (e.g. nursing units, pharmacies, emergency departments, operating rooms) and professional mix (e.g. nurses, physicians, pharmacists, administrators, therapists) and made up of multiple interconnected elements with adaptive tendencies in that they have the capacity to change and learn from experience.
Organizations have complex structures in that they are dynamic networks of interactions, and their relationships are not aggregations of the individual static entities. They are adaptive; in that, the individual and collective behavior mutate and self-organize corresponding to a change-initiating micro-event or collection of events. [7] [8]
However, meso-level may also refer to analyses that are specifically designed to reveal connections between micro- and macro-levels. Meso-level networks are low density and may exhibit causal processes distinct from interpersonal micro-level networks. [39] Social network diagram, meso-level
Recent work on the Modeling and simulation of Complex Adaptive Systems has demonstrated the need for combining agent-based and complex network based models. [ 21 ] [ 22 ] [ 23 ] describe a framework consisting of four levels of developing models of complex adaptive systems described using several example multidisciplinary case studies:
Health systems engineering or health engineering (often known as health care systems engineering (HCSE)) is an academic and a pragmatic discipline that approaches the health care industry, and other industries connected with health care delivery, as complex adaptive systems, and identifies and applies engineering design and analysis principles in such areas.