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

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Bibliographic Details
Title:	Adaptive Failure Identification for Healthcare Risk Analysis and Its Application on E-Healthcare.
Authors:	Kuo-Chung Chu¹ kcchu@ntunhs.edu.tw, Lun-Ping Hung¹
Source:	Journal of Applied Mathematics. 2014, p1-17. 17p.
Subjects:	Adaptive computing systems, Failure Analysis System (Computer system), Medical care, Number theory, Computer simulation, Data analysis
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-basedmodel 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. [ABSTRACT FROM AUTHOR]
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Database:	Engineering Source

Description
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-basedmodel 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. [ABSTRACT FROM AUTHOR]
ISSN:	1110757X
DOI:	10.1155/2014/865241