Adaptive Failure Identification for Healthcare Risk Analysis and Its Application on E-Healthcare
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-base...
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | Journal of Applied Mathematics |
| Online Access: | http://dx.doi.org/10.1155/2014/865241 |
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| _version_ | 1832552693505196032 |
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| author | Kuo-Chung Chu Lun-Ping Hung |
| author_facet | Kuo-Chung Chu Lun-Ping Hung |
| author_sort | Kuo-Chung Chu |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-2340462b7f7b4da08f097b219ae90bea |
| institution | Kabale University |
| issn | 1110-757X 1687-0042 |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Applied Mathematics |
| spelling | doaj-art-2340462b7f7b4da08f097b219ae90bea2025-02-03T05:58:07ZengWileyJournal of Applied Mathematics1110-757X1687-00422014-01-01201410.1155/2014/865241865241Adaptive Failure Identification for Healthcare Risk Analysis and Its Application on E-HealthcareKuo-Chung Chu0Lun-Ping Hung1Department of Information Management, National Taipei University of Nursing and Health Sciences, No. 365, Mingde Road, Beitou District, Taipei City 11219, TaiwanDepartment of Information Management, National Taipei University of Nursing and Health Sciences, No. 365, Mingde Road, Beitou District, Taipei City 11219, TaiwanTo 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.http://dx.doi.org/10.1155/2014/865241 |
| spellingShingle | Kuo-Chung Chu Lun-Ping Hung Adaptive Failure Identification for Healthcare Risk Analysis and Its Application on E-Healthcare Journal of Applied Mathematics |
| title | Adaptive Failure Identification for Healthcare Risk Analysis and Its Application on E-Healthcare |
| title_full | Adaptive Failure Identification for Healthcare Risk Analysis and Its Application on E-Healthcare |
| title_fullStr | Adaptive Failure Identification for Healthcare Risk Analysis and Its Application on E-Healthcare |
| title_full_unstemmed | Adaptive Failure Identification for Healthcare Risk Analysis and Its Application on E-Healthcare |
| title_short | Adaptive Failure Identification for Healthcare Risk Analysis and Its Application on E-Healthcare |
| title_sort | adaptive failure identification for healthcare risk analysis and its application on e healthcare |
| url | http://dx.doi.org/10.1155/2014/865241 |
| work_keys_str_mv | AT kuochungchu adaptivefailureidentificationforhealthcareriskanalysisanditsapplicationonehealthcare AT lunpinghung adaptivefailureidentificationforhealthcareriskanalysisanditsapplicationonehealthcare |