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

Joint Authors

Chu, Kuo-Chung
Hung, Lun-Ping

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

Mathematics

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