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A complex adaptive system is a system that is complex in that it is a dynamic network of interactions, but the behavior of the ensemble may not be predictable according to the behavior of the components.
A complex adaptive healthcare system (CAHS) is a care delivery enterprise with diverse clinical and administrative agents acting spontaneously, interacting in nonlinear networks where agents and patients are information processors, and actively co-evolve with their environment with the purposed to produce safe and reliable patient-centered outcomes.
Complex adaptive systems are special cases of complex systems that are adaptive in that they have the capacity to change and learn from experience. [8] Examples of complex adaptive systems include the stock market, social insect and ant colonies, the biosphere and the ecosystem, the brain and the immune system, the cell and the developing embryo, cities, manufacturing businesses and any human ...
A complex adaptive system has some or all of the following attributes: [5] The number of parts (and types of parts) in the system and the number of relations between the parts is non-trivial – however, there is no general rule to separate "trivial" from "non-trivial"; The system has memory or includes feedback;
An adaptive system is a set of interacting or interdependent entities, real or abstract, forming an integrated whole that together are able to respond to environmental changes or changes in the interacting parts, in a way analogous to either continuous physiological homeostasis or evolutionary adaptation in biology.
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.
Complex adaptive system; Complex response; Complex system approach to peace and armed conflict; Complexity; Complexity economics; Complexity theory and organizations; Computational sociology; Croatian Interdisciplinary Society
The Human Genome Project is an example of applied systems thinking in biology which has led to new, collaborative ways of working on problems in the biological field of genetics. [2] One of the aims of systems biology is to model and discover emergent properties , properties of cells , tissues and organisms functioning as a system whose ...