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Error Avoidance in Post Modern/Complex Adaptive Systems
Lindsey Webster
MHA601: Principles of Health Care Administration
Tricia Devin
Monday, December 2, 2013

Error Avoidance in Post Modern/Complex Adaptive Systems Complex adaptive systems (CASs) are omnipresent. “Examples of complex adaptive systems include the electric power grid, telecommunications networks, the Internet, biological systems, ecological systems, social groups, and even human society itself” (Decision and Information Sciences Division, N/D). “Complex” implies diversity – a wide variety of elements. “Adaptive” suggests the capacity to alter or change – the ability to learn from experience. A “system” is a set of connected or interdependent things. In a CAS, the “things” are independent agents. An agent may be a person, a molecule, a species or an organization, among many others. These agents act based on local or surrounding knowledge and conditions. A central body, master neuron, or CEO does not control the agent’s individual moves. A CAS has a densely connected web of interacting agents, each operating from its own schema or local knowledge. This paper discusses Complex Adaptive Systems in a holistic context. It aims to analyze the occurrence of errors and how these errors can be avoided by successful error avoidance in post modem or complex adaptive systems. Why do errors happen? The common initial reaction is to find and blame an error on someone. However, even apparently single events or errors are due most often to the convergence of multiple contributing factors. Blaming an individual does not change these factors and the same error is likely to recur. Preventing errors and improving safety for patients require a systems approach in order to modify the conditions that contribute to errors. People working in health care are among the most educated and dedicated

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