Adaptive Failure Identification for Healthcare Risk Analysis and Its Application on E-Healthcare
Joint Authors
Source
Journal of Applied Mathematics
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-04-16
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Chu, Kuo-Chung& Hung, Lun-Ping. 2014. Adaptive Failure Identification for Healthcare Risk Analysis and Its Application on E-Healthcare. Journal of Applied Mathematics،Vol. 2014, no. 2014, pp.1-17.
https://search.emarefa.net/detail/BIM-504559
Modern Language Association (MLA)
Chu, Kuo-Chung& Hung, Lun-Ping. Adaptive Failure Identification for Healthcare Risk Analysis and Its Application on E-Healthcare. Journal of Applied Mathematics No. 2014 (2014), pp.1-17.
https://search.emarefa.net/detail/BIM-504559
American Medical Association (AMA)
Chu, Kuo-Chung& Hung, Lun-Ping. Adaptive Failure Identification for Healthcare Risk Analysis and Its Application on E-Healthcare. Journal of Applied Mathematics. 2014. Vol. 2014, no. 2014, pp.1-17.
https://search.emarefa.net/detail/BIM-504559
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-504559