A novel approach for evaluating the risk of health care failure modes

Dong Shang Chang, Jenq Hann Chung, Kuo Lung Sun, Fu Chiang Yang

Research output: Contribution to journalArticlepeer-review

27 Scopus citations

Abstract

Failure mode and effects analysis (FMEA) can be employed to reduce medical errors by identifying the risk ranking of the health care failure modes and taking priority action for safety improvement. The purpose of this paper is to propose a novel approach of data analysis. The approach is to integrate FMEA and a mathematical toolData envelopment analysis (DEA) with slack-based measure (SBM), in the field of data analysis. The risk indexes (severity, occurrence, and detection) of FMEA are viewed as multiple inputs of DEA. The practicality and usefulness of the proposed approach is illustrated by one case of health care. Being a systematic approach for improving the service quality of health care, the approach can offer quantitative corrective information of risk indexes that thereafter reduce failure possibility. For safety improvement, these new targets of the risk indexes could be used for management by objectives. But FMEA cannot provide quantitative corrective information of risk indexes. The novel approach can surely overcome this chief shortcoming of FMEA. After combining DEA SBM model with FMEA, the two goalsincrease of patient safety, medical cost reductioncan be together achieved.

Original languageEnglish
Pages (from-to)3967-3974
Number of pages8
JournalJournal of Medical Systems
Volume36
Issue number6
DOIs
StatePublished - Dec 2012

Keywords

  • Data envelopment analysis
  • Failure mode and effects analysis
  • Health care
  • Medical error
  • Patient safety

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