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Journal of Applied Mathematics
Volume 2014 (2014), Article ID 865241, 17 pages
http://dx.doi.org/10.1155/2014/865241
Research Article

Adaptive Failure Identification for Healthcare Risk Analysis and Its Application on E-Healthcare

Department of Information Management, National Taipei University of Nursing and Health Sciences, No. 365, Mingde Road, Beitou District, Taipei City 11219, Taiwan

Received 20 January 2014; Accepted 4 March 2014; Published 16 April 2014

Academic Editor: Young-Sik Jeong

Copyright © 2014 Kuo-Chung Chu and Lun-Ping Hung. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

To satisfy the requirement for diverse risk preferences, we propose a generic risk priority number (GRPN) function that assigns a risk weight to each parameter such that they represent individual organization/department/process preferences for the parameters. This research applies GRPN function-based model to differentiate the types of risk, and primary data are generated through simulation. We also conduct sensitivity analysis on correlation and regression to compare it with the traditional RPN (TRPN). The proposed model outperforms the TRPN model and provides a practical, effective, and adaptive method for risk evaluation. In particular, the defined GRPN function offers a new method to prioritize failure modes in failure mode and effect analysis (FMEA). The different risk preferences considered in the healthcare example show that the modified FMEA model can take into account the various risk factors and prioritize failure modes more accurately. In addition, the model also can apply to a generic e-healthcare service environment with a hierarchical architecture.