The Theory
The theory of computation in computer science deals with how issues can be solved professionally on a model of calculation using an algorithm ( MacCormick, 2018). In this case, the algorithm will enable one to understand the solutions to known problems. The model that is commonly used is the Turing Machine model because it is simple and can be used to analyze and prove results. There are three sectors in the computational theory namely: Automata Theory, Computability, and Computational Complexity theory. The Computational complexity theory analyses whether a problem can be resolved while computability theory deals with the extent in which a problem can be solved.
The Relationship of the Theory to Nursing
The theory is related to nursing in that computation assist nurses when while carrying out their research. The reason for this is that, during research, large volumes of data must be analyzed. Furthermore, the emerging trends in computer applications have allowed the nurse practitioners to manipulate large data easily. In this regard, nurses can convert the data into actionable information and use it to improve patient outcome. Besides, data is available at different levels of analysis, which makes its application difficult, especially since the healthcare system is dynamic ( Brennan & Bakken, 2015). The solution to this issue is computational modeling. One example of the computational model is the OrgAhead. The OrgAhead theoretical model is a program that was developed by Carnegie Mellon University, to convert data into useful nursing information. The model is adjusted using actual patient’s entities to make changes of model parameters. OrgAhead can also be used to create a hypothesis about changes that nurse practitioners can make to improve their performance and patient results ( Moorhead et al., 2018). Moreover, nurses can use the hypothesis make appropriate changes on their units as well as measure the impact of changes on patients. Therefore, the theory of computation enables nurses to understand solutions to problems.
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References
Brennan, P. F., & Bakken, S. (2015). Nursing needs big data and big data needs nursing. Journal of Nursing Scholarship , 47 (5), 477-484.
MacCormick, J. (2018). What Can Be Computed?: A Practical Guide to the Theory of Computation . Princeton University Press.
Moorhead, S., Johnson, M., Maas, M. L., & Swanson, E. (2018). Nursing Outcomes Classification (NOC)-E-Book: Measurement of Health Outcomes . Elsevier Health Sciences.