Data-Driven Approach to Improving the Risk Assessment Process of Medical Failures

Shih-Heng Yu, Emily Chia-Yu Su and Yi-Tui Chen
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Shih-Heng Yu: Department of Health Care Management, College of Health Technology, National Taipei University of Nursing and Health Sciences, Taipei 10845, Taiwan
Emily Chia-Yu Su: Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei 11031, Taiwan
Yi-Tui Chen: Department of Health Care Management, College of Health Technology, National Taipei University of Nursing and Health Sciences, Taipei 10845, Taiwan

IJERPH, 2018, vol. 15, issue 10, 1-12

Abstract: In recent decades, many researchers have focused on the issue of medical failures in the healthcare industry. A variety of techniques have been employed to assess the risk of medical failure and to generate strategies to reduce the frequency of medical failures. Considering the limitations of the traditional method—failure mode and effects analysis (FMEA)—for risk assessment and quality improvement, this paper presents two models developed using data envelopment analysis (DEA). One is called the slacks-based measure DEA (SBM-DEA) model, and the other is a novel data-driven approach (NDA) that combines FMEA and DEA. The relative advantages of the three models are compared. In this paper, an infant security case consisting of 16 failure modes at Western Wake Medical Center in Raleigh, North Carolina, U.S., was employed. The results indicate that both SBM-DEA and NDA may improve the discrimination and accuracy of detection compared to the traditional method of FMEA. However, NDA was found to have a relative advantage over SBM-DEA due to its risk assessment capability and precise detection of medical failures.

Keywords: failure mode and effects analysis; medical failure; novel data-driven approach; data envelopment analysis; healthcare (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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