Multilevel control chart and fuzzy set theory to monitor inpatient falls

Chih-Ming Chang, Chi-Hung Kao, Wei-Shun Sha, Wen-Hsiang Wu and Juei-Chao Chen

Journal of Business Research, 2016, vol. 69, issue 6, 2284-2288

Abstract: Monitoring hospital adverse events ensures the patient's safety. This study aims to develop a multilevel control chart and to apply fuzzy set theory and warning lines concept to monitor inpatient adverse events. This study uses a u chart to monitor the adverse events relating to falls. This study also considers the severity of fall injuries to develop multilevel control charts, and applies fuzzy set theory to determine the severity of falls. The final analysis of this study is a combination of multilevel control charts, fuzzy set theory, and warning lines concept. The findings of this study show that traditional control charts do not consider the severity of fall injury, whereas multilevel control charts can make up for the deficiencies of traditional control charts through the establishment of fuzzy rules and warning lines, thus reducing the shortcomings of traditional control charts, which cause error and low sensitivity.

Keywords: Patient safety; Quality indicators; Statistical study; Accidental falls; Fuzzy logic (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:jbrese:v:69:y:2016:i:6:p:2284-2288

DOI: 10.1016/j.jbusres.2015.12.043

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