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Assessing nursing home care quality through Bayesian networks
Justin Goodson1, Wooseung Jang
1Department of Management Sciences, Henry B. Tippie College of Business, University of Iowa, Iowa City, IA 52242, USA.
Abstract:
This article demonstrates how Bayesian networks can be employed as a tool to assess the quality of care in nursing homes. For the data sets analyzed, the proposed model performs comparably to existing quantitative assessment models. In addition, a Bayesian network approach offers several unique advantages. The structure and parameters of a Bayesian network provide rich insight into the multidimensional aspects of the quality of care. Bayesian networks can be used as a guide in implementing limited resources by identifying information that would be most relevant to an assessment. Finally, Bayesian networks provide a straightforward framework for integrating nursing home care quality research that is conducted in various locations and for various purposes.
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