Abstract
The term “complexity” is used to define tasks or systems ranging from complicated to intractable, and to generally mean “not simple.” As noted by a Nobel laureate Murray Gell-Mann, “a variety of different measures would be required to capture all our intuitive ideas about what is meant by complexity and by its opposite, simplicity” [1]. But, it is generally acknowledged that complexity is context-dependent [2], and subjective [1]. While the implications for complexity has been discussed within the context of several settings [3–8], some of these discussions have been met with skepticism (e.g., [9, 10]), provoking responses that the key ideas of complexity theory used in healthcare are often distorted ideas, “trotted out in the guise of complexity” [9], and are merely the “emperor’s new toolkit” [10].
Portions of this chapter (including figures) have been adapted from Kannampallil et al., Considering complexity in healthcare systems. Journal of Biomedical Informatics. 44(6): 443–447, with permissions from Elsevier.
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Notes
- 1.
Computability is not related to computational complexity.
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Kannampallil, T.G., Cohen, T., Kaufman, D.R., Patel, V.L. (2014). Re-thinking Complexity in the Critical Care Environment. In: Patel, V., Kaufman, D., Cohen, T. (eds) Cognitive Informatics in Health and Biomedicine. Health Informatics. Springer, London. https://doi.org/10.1007/978-1-4471-5490-7_16
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