摘要： 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 tool—Data 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 goals—increase of patient safety, medical cost reduction—can be together achieved. 其他題名： J Med Syst 出版者： Boston: Springer US 出版日期： 2012-12 出處： Journal of medical systems, 2012-12, Vol.36 (6), p.3967-3974 資源來源： Healthcare Administration Database (Proquest) 版權： Springer Science+Business Media, LLC 2012 版權： Springer Science+Business Media New York 2012 識別號： ISSN: 0148-5598 識別號： EISSN: 1573-689X 識別號： DOI: 10.1007/s10916-012-9868-5 識別號： PMID: 22773135
